[WARNING] ME(158062:281472959242032,MainProcess):2026-01-29-17:37:23.240.691 [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_004/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(158062,ffff87bfdf30,python3.9):2026-01-29-17:44:25.703.028 [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 = 4.89154, [30] [bootstrap]: 0.00227635 [type_inference]: 3.90734 [event_method]: 0.00040331 [auto_monad]: 0.00275234 [graph_reusing]: 0.00013273 [pre_auto_parallel]: 3.925e-05 [py_interpret_to_execute]: 0.00065579 [rewriter_before_opt_a]: 0.0416619 [expand_dump_flag]: 6.114e-05 [jit_opt_a]: 0.903479, [4] [Cycle 1]: 0.709878, [27] [switch_simplify]: 0.00147546 [loop_unroll]: 0.0361645 [a_1]: 0.059279 [with_stream_mark]: 0.00025931 [recompute_prepare]: 0.00013909 [updatestate_depend_eliminate]: 0.036189 [updatestate_assign_eliminate]: 9.293e-05 [updatestate_loads_eliminate]: 0.000143 [parameter_eliminate]: 7.21999e-06 [specialize_transform]: 9.899e-05 [updatestate_useless_node_eliminater]: 0.00010817 [accelerated_algorithm]: 0.00014559 [meta_shard_fg_expand]: 4.573e-05 [get_grad_eliminate_]: 6.896e-05 [merge_forward]: 3.878e-05 [cell_reuse_recompute_pass]: 3.71001e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00013461 [j_node_and_user_rematch]: 0.0001156 [meta_fg_expand]: 0.210155 [replace_old_param]: 0.00045998 [inline_without_move]: 0.00051899 [renormalize]: 0.360697 [add_forward_monad_depend]: 0.0002789 [auto_monad_grad]: 4.64e-05 [auto_monad_eliminator]: 0.00060039 [cse]: 0.00123178 [replace_applicator]: 0.00079675 [Cycle 2]: 0.17493, [27] [switch_simplify]: 0.00040376 [loop_unroll]: 0.00041101 [a_1]: 0.0834974 [with_stream_mark]: 0.00034582 [recompute_prepare]: 8.234e-05 [updatestate_depend_eliminate]: 9.017e-05 [updatestate_assign_eliminate]: 4.238e-05 [updatestate_loads_eliminate]: 0.00012778 [parameter_eliminate]: 2.76e-06 [specialize_transform]: 6.85e-05 [updatestate_useless_node_eliminater]: 8.766e-05 [accelerated_algorithm]: 6.679e-05 [meta_shard_fg_expand]: 3.095e-05 [get_grad_eliminate_]: 5.643e-05 [merge_forward]: 3.285e-05 [cell_reuse_recompute_pass]: 2.16998e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.0001052 [j_node_and_user_rematch]: 9.262e-05 [meta_fg_expand]: 0.00125062 [replace_old_param]: 0.0001001 [inline_without_move]: 5.815e-05 [renormalize]: 0.0870045 [add_forward_monad_depend]: 1.647e-05 [auto_monad_grad]: 3.26999e-06 [auto_monad_eliminator]: 0.0002146 [cse]: 0.00026764 [replace_applicator]: 8.237e-05 [Cycle 3]: 0.00681523, [27] [switch_simplify]: 6.416e-05 [loop_unroll]: 5.199e-05 [a_1]: 0.0016907 [with_stream_mark]: 5.669e-05 [recompute_prepare]: 5.253e-05 [updatestate_depend_eliminate]: 3.681e-05 [updatestate_assign_eliminate]: 3.401e-05 [updatestate_loads_eliminate]: 3.708e-05 [parameter_eliminate]: 2.64001e-06 [specialize_transform]: 5.228e-05 [updatestate_useless_node_eliminater]: 7.09e-05 [accelerated_algorithm]: 5.995e-05 [meta_shard_fg_expand]: 1.88e-05 [get_grad_eliminate_]: 5.05e-05 [merge_forward]: 2.949e-05 [cell_reuse_recompute_pass]: 3.64002e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.397e-05 [j_node_and_user_rematch]: 8.354e-05 [meta_fg_expand]: 2.21e-05 [replace_old_param]: 6.751e-05 [inline_without_move]: 5.008e-05 [renormalize]: 0.00354196 [add_forward_monad_depend]: 1.052e-05 [auto_monad_grad]: 2.78e-06 [auto_monad_eliminator]: 0.00012719 [cse]: 0.00021225 [replace_applicator]: 7e-05 [Cycle 4]: 0.00300465, [27] [switch_simplify]: 5.168e-05 [loop_unroll]: 5.104e-05 [a_1]: 0.00156493 [with_stream_mark]: 4.658e-05 [recompute_prepare]: 5.082e-05 [updatestate_depend_eliminate]: 3.881e-05 [updatestate_assign_eliminate]: 3.188e-05 [updatestate_loads_eliminate]: 3.404e-05 [parameter_eliminate]: 1.99e-06 [specialize_transform]: 9.105e-05 [updatestate_useless_node_eliminater]: 7.192e-05 [accelerated_algorithm]: 5.937e-05 [meta_shard_fg_expand]: 1.688e-05 [get_grad_eliminate_]: 5.348e-05 [merge_forward]: 2.949e-05 [cell_reuse_recompute_pass]: 3.58999e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.303e-05 [j_node_and_user_rematch]: 8.322e-05 [meta_fg_expand]: 2.046e-05 [replace_old_param]: 6.605e-05 [inline_without_move]: 5.065e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 3.33e-06 [auto_monad_grad]: 2.45002e-06 [auto_monad_eliminator]: 0.00010002 [cse]: 0.00016807 [replace_applicator]: 5.452e-05 [py_interpret_to_execute_after_opt_a]: 6.92e-05 [rewriter_after_opt_a]: 0.00047507 [convert_after_rewriter]: 5.013e-05 [order_py_execute_after_rewriter]: 2.84e-05 [mutable_eliminate]: 0.00085902 [jit_opt_b]: 0.00032391, [1] [Cycle 1]: 0.00031372, [2] [frontend_op_eliminate]: 0.00015944 [inline_after_opt_a]: 0.00013893 [cconv]: 5.369e-05 [loop_unroll]: 0.00056011 [jit_opt_after_cconv]: 0.0265599, [1] [Cycle 1]: 0.0265473, [11] [c_1]: 0.00031715 [parameter_eliminate]: 5.26998e-06 [updatestate_depend_eliminate]: 4.262e-05 [updatestate_assign_eliminate]: 3.446e-05 [updatestate_loads_eliminate]: 0.0254401 [cse]: 0.0002716 [call_graph_tuple_transform]: 0.00017156 [tuple_list_get_item_eliminator]: 5.453e-05 [none_parameter_eliminate]: 6.74001e-06 [renormalize]: 1.22e-06 [switch_simplify]: 5.17e-05 [remove_dup_value]: 0.00020112 [partial_unused_args_eliminate]: 4.45e-06 [environ_conv]: 5.907e-05 [add_recomputation]: 0.00035905 [cse_after_recomputation]: 0.00018558, [1] [Cycle 1]: 0.0001726, [1] [cse]: 0.0001537 [auto_monad_reorder]: 0.00018069 [get_jit_bprop_graph]: 2.86e-06 [rewriter_after_jit_bprop_graph]: 0.00040354 [opt_after_jit_grad]: 0.00108911 [symbol_engine_optimizer]: 0.00037905, [1] [Cycle 1]: 0.00036913, [6] [build]: 3.88e-05 [elim_shapecalc]: 6.005e-05 [elim_not_effective]: 9.443e-05 [opt_reshape]: 5.574e-05 [fold_const_symbol]: 8.313e-05 [renormalize]: 7.10017e-07 [validate]: 0.00032815 Sums bootstrap : 0.002276s : 0.05% type_inference : 3.907343s : 80.06% event_method : 0.000403s : 0.01% auto_monad : 0.002752s : 0.06% graph_reusing : 0.000133s : 0.00% pre_auto_parallel : 0.000039s : 0.00% py_interpret_to_execute : 0.000656s : 0.01% rewriter_before_opt_a : 0.041662s : 0.85% expand_dump_flag : 0.000061s : 0.00% jit_opt_a.switch_simplify : 0.001995s : 0.04% jit_opt_a.loop_unroll : 0.036679s : 0.75% jit_opt_a.a_1 : 0.146032s : 2.99% jit_opt_a.with_stream_mark : 0.000708s : 0.01% jit_opt_a.recompute_prepare : 0.000325s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.036355s : 0.74% jit_opt_a.updatestate_assign_eliminate : 0.000201s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000342s : 0.01% jit_opt_a.parameter_eliminate : 0.000015s : 0.00% jit_opt_a.specialize_transform : 0.000311s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000339s : 0.01% jit_opt_a.accelerated_algorithm : 0.000332s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000112s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000229s : 0.00% jit_opt_a.merge_forward : 0.000131s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000013s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000427s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000375s : 0.01% jit_opt_a.meta_fg_expand : 0.211448s : 4.33% jit_opt_a.replace_old_param : 0.000694s : 0.01% jit_opt_a.inline_without_move : 0.000678s : 0.01% jit_opt_a.renormalize : 0.451244s : 9.25% jit_opt_a.add_forward_monad_depend : 0.000309s : 0.01% jit_opt_a.auto_monad_grad : 0.000055s : 0.00% jit_opt_a.auto_monad_eliminator : 0.001042s : 0.02% jit_opt_a.cse : 0.001880s : 0.04% jit_opt_a.replace_applicator : 0.001004s : 0.02% py_interpret_to_execute_after_opt_a : 0.000069s : 0.00% rewriter_after_opt_a : 0.000475s : 0.01% convert_after_rewriter : 0.000050s : 0.00% order_py_execute_after_rewriter : 0.000028s : 0.00% mutable_eliminate : 0.000859s : 0.02% jit_opt_b.frontend_op_eliminate : 0.000159s : 0.00% jit_opt_b.inline_after_opt_a : 0.000139s : 0.00% cconv : 0.000054s : 0.00% loop_unroll : 0.000560s : 0.01% jit_opt_after_cconv.c_1 : 0.000317s : 0.01% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000043s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000034s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.025440s : 0.52% jit_opt_after_cconv.cse : 0.000272s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000172s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000055s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000007s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000052s : 0.00% remove_dup_value : 0.000201s : 0.00% partial_unused_args_eliminate : 0.000004s : 0.00% environ_conv : 0.000059s : 0.00% add_recomputation : 0.000359s : 0.01% cse_after_recomputation.cse : 0.000154s : 0.00% auto_monad_reorder : 0.000181s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000404s : 0.01% opt_after_jit_grad : 0.001089s : 0.02% symbol_engine_optimizer.build : 0.000039s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000060s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000094s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000056s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000083s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000328s : 0.01% Time group info: ------[substitution.] 0.090105 1840 0.13% : 0.000113s : 6: substitution.arithmetic_simplify 0.03% : 0.000029s : 4: substitution.cast_eliminate 0.15% : 0.000138s : 63: substitution.depend_value_elim 0.01% : 0.000012s : 35: substitution.elim_not_effective 0.02% : 0.000017s : 6: substitution.environ_get_add_eliminate 0.01% : 0.000012s : 4: substitution.environ_get_depend_swap 0.01% : 0.000013s : 6: substitution.environ_get_eliminate 0.03% : 0.000027s : 6: substitution.environ_get_set_eliminate 0.01% : 0.000011s : 35: substitution.fold_const_symbol 89.27% : 0.080435s : 8: substitution.getattr_setattr_resolve 0.04% : 0.000034s : 51: substitution.graph_param_transform 7.35% : 0.006627s : 162: substitution.inline 0.13% : 0.000115s : 14: substitution.inline_without_move 0.07% : 0.000060s : 158: substitution.j_node_and_user_rematch 0.07% : 0.000066s : 15: substitution.less_batch_normalization 0.05% : 0.000042s : 44: substitution.load_eliminater 0.14% : 0.000130s : 99: substitution.minmaximum_grad 0.00% : 0.000002s : 3: substitution.opt_reshape 0.04% : 0.000034s : 14: substitution.partial_eliminate 0.03% : 0.000027s : 6: substitution.reduce_eliminate 0.01% : 0.000009s : 5: substitution.redundant_stop_gradient_eliminater 0.10% : 0.000086s : 158: substitution.remove_not_recompute_node 0.22% : 0.000197s : 63: substitution.replace_applicator 0.07% : 0.000062s : 90: substitution.replace_old_param 0.08% : 0.000069s : 15: substitution.reshape_eliminate 0.00% : 0.000004s : 1: substitution.set_cell_output_no_recompute 0.01% : 0.000009s : 5: substitution.split_environ_get_set_with_tuple_value 0.08% : 0.000076s : 29: substitution.switch_simplify 0.01% : 0.000007s : 1: substitution.tile_eliminate 0.30% : 0.000272s : 107: substitution.tuple_list_convert_item_index_to_positive 0.37% : 0.000329s : 118: substitution.tuple_list_get_item_depend_reorder 0.57% : 0.000513s : 199: substitution.tuple_list_get_item_eliminator 0.19% : 0.000167s : 139: substitution.updatestate_pure_node_eliminater 0.40% : 0.000361s : 171: substitution.updatestate_useless_node_eliminater ------[type_inference.] 3.906202 2 96.05% : 3.752053s : 1: type_inference.infer 3.95% : 0.154149s : 1: type_inference.specialize ------[replace.] 0.003842 311 0.25% : 0.000010s : 1: replace.arithmetic_simplify 0.78% : 0.000030s : 4: replace.cast_eliminate 1.70% : 0.000065s : 8: replace.depend_value_elim 0.92% : 0.000035s : 2: replace.environ_get_set_eliminate 4.60% : 0.000177s : 6: replace.getattr_setattr_resolve 43.70% : 0.001679s : 162: replace.inline 0.85% : 0.000033s : 2: replace.partial_eliminate 2.55% : 0.000098s : 3: replace.replace_applicator 11.10% : 0.000427s : 29: replace.switch_simplify 3.69% : 0.000142s : 11: replace.tuple_list_get_item_depend_reorder 28.25% : 0.001085s : 81: replace.tuple_list_get_item_eliminator 1.60% : 0.000062s : 2: replace.updatestate_useless_node_eliminater ------[match.] 0.087446 311 0.06% : 0.000055s : 1: match.arithmetic_simplify 0.03% : 0.000026s : 4: match.cast_eliminate 0.01% : 0.000007s : 8: match.depend_value_elim 0.02% : 0.000018s : 2: match.environ_get_set_eliminate 91.86% : 0.080332s : 6: match.getattr_setattr_resolve 7.46% : 0.006526s : 162: match.inline 0.02% : 0.000014s : 2: match.partial_eliminate 0.03% : 0.000029s : 3: match.replace_applicator 0.07% : 0.000060s : 29: match.switch_simplify 0.15% : 0.000127s : 11: match.tuple_list_get_item_depend_reorder 0.25% : 0.000222s : 81: match.tuple_list_get_item_eliminator 0.03% : 0.000029s : 2: match.updatestate_useless_node_eliminater ------[predicate.] 0.006036 39822 1.61% : 0.000097s : 699: predicate.accumulaten_eliminater 0.26% : 0.000016s : 51: predicate.ad_related_special_op_eliminate 1.51% : 0.000091s : 699: predicate.addn_check_dump 1.60% : 0.000097s : 699: predicate.addn_zero_filter 2.12% : 0.000128s : 700: predicate.arithmetic_simplify 1.60% : 0.000096s : 704: predicate.cast_eliminate 0.11% : 0.000007s : 51: predicate.check_bprop_eliminate 1.50% : 0.000090s : 699: predicate.compare_switch_simplify 1.69% : 0.000102s : 699: predicate.depend_value_elim 1.54% : 0.000093s : 706: predicate.dict_get_item_const_eliminator 1.67% : 0.000101s : 706: predicate.dict_get_item_eliminator 1.54% : 0.000093s : 706: predicate.dict_set_item_eliminator 0.15% : 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 1.52% : 0.000092s : 704: predicate.environ_add_const_eliminate 1.50% : 0.000091s : 706: predicate.environ_get_add_eliminate 1.56% : 0.000094s : 704: predicate.environ_get_depend_swap 1.57% : 0.000095s : 706: predicate.environ_get_eliminate 1.55% : 0.000094s : 706: predicate.environ_get_set_eliminate 0.06% : 0.000004s : 51: predicate.fold_const_symbol 0.53% : 0.000032s : 228: predicate.get_grad_eliminate 0.27% : 0.000016s : 40: predicate.getattr_setattr_resolve 0.08% : 0.000005s : 51: predicate.graph_param_transform 3.74% : 0.000226s : 1066: predicate.inline 1.43% : 0.000086s : 468: predicate.inline_without_move 0.28% : 0.000017s : 228: predicate.j_node_and_user_rematch 0.66% : 0.000040s : 244: predicate.less_batch_normalization 1.80% : 0.000109s : 798: predicate.list_to_tuple_eliminator_ 1.95% : 0.000117s : 851: predicate.load_eliminater 0.19% : 0.000012s : 51: predicate.loop_unroll_after_grad 5.48% : 0.000331s : 1190: predicate.loop_unroll_before_grad 1.75% : 0.000106s : 768: predicate.make_slice_get_slice_eliminator 1.52% : 0.000092s : 699: predicate.merge_addn 1.57% : 0.000095s : 700: predicate.minmaximum_grad 0.21% : 0.000013s : 51: predicate.mutable_eliminate 0.12% : 0.000007s : 51: predicate.opt_reshape 2.22% : 0.000134s : 851: predicate.partial_eliminate 1.47% : 0.000089s : 691: predicate.print_const_string_wrapper 1.98% : 0.000119s : 700: predicate.reduce_eliminate 1.83% : 0.000111s : 800: predicate.redundant_stop_gradient_eliminater 0.29% : 0.000017s : 228: predicate.remove_not_recompute_node 2.12% : 0.000128s : 1369: predicate.replace_applicator 0.61% : 0.000037s : 468: predicate.replace_old_param 0.07% : 0.000004s : 51: predicate.reset_defer_inline 1.53% : 0.000093s : 700: predicate.reshape_eliminate 1.52% : 0.000092s : 691: predicate.row_tensor_add_zeros_like 0.13% : 0.000008s : 51: predicate.row_tensor_eliminate 1.58% : 0.000095s : 691: predicate.same_eliminate 0.37% : 0.000023s : 281: predicate.set_cell_output_no_recompute 0.24% : 0.000015s : 102: predicate.special_op_eliminate 0.61% : 0.000037s : 228: predicate.specialize_transform 1.93% : 0.000117s : 691: predicate.split_environ_get_set_with_tuple_value 1.51% : 0.000091s : 691: predicate.stack_unstack_eliminate 0.12% : 0.000007s : 51: predicate.switch_call_monad_eliminater 3.85% : 0.000232s : 964: predicate.switch_defer_inline 2.44% : 0.000147s : 964: predicate.switch_layer_defer_inline 6.70% : 0.000404s : 2263: predicate.switch_simplify 1.52% : 0.000092s : 700: predicate.tile_eliminate 1.53% : 0.000093s : 700: predicate.transpose_eliminate 1.95% : 0.000118s : 706: predicate.tuple_list_convert_item_index_to_positive 1.92% : 0.000116s : 717: predicate.tuple_list_get_item_depend_reorder 2.89% : 0.000174s : 900: predicate.tuple_list_get_item_eliminator 1.98% : 0.000120s : 717: predicate.tuple_list_set_item_eliminator 1.76% : 0.000106s : 798: predicate.tuple_to_list_eliminator_ 2.00% : 0.000121s : 851: predicate.updatestate_pure_node_eliminater 2.70% : 0.000163s : 1081: predicate.updatestate_useless_node_eliminater 1.90% : 0.000115s : 691: predicate.value_based_eliminate 0.11% : 0.000007s : 51: predicate.virtual_view_grad_eliminate 0.14% : 0.000009s : 51: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.182030 471 71.91% : 0.130900s : 272: func_graph_cloner_run.FuncGraphClonerGraph 0.10% : 0.000188s : 3: func_graph_cloner_run.FuncGraphClonerNode 27.99% : 0.050943s : 196: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 5.613612 106 0.01% : 0.000369s : 1: add_recomputation 0.05% : 0.002766s : 1: auto_monad 0.00% : 0.000187s : 1: auto_monad_reorder 0.04% : 0.002312s : 1: bootstrap 0.00% : 0.000056s : 1: cconv 0.00% : 0.000055s : 1: convert_after_rewriter 0.00% : 0.000189s : 1: cse_after_recomputation 0.00% : 0.000062s : 1: environ_conv 0.01% : 0.000416s : 1: event_method 0.00% : 0.000067s : 1: expand_dump_flag 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000139s : 1: graph_reusing 16.09% : 0.903484s : 1: jit_opt_a 0.47% : 0.026568s : 1: jit_opt_after_cconv 0.01% : 0.000327s : 1: jit_opt_b 0.01% : 0.000570s : 1: loop_unroll 0.02% : 0.000872s : 1: mutable_eliminate 3.37% : 0.189242s : 52: opt.transform.jit_opt_a 0.01% : 0.000585s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000289s : 4: opt.transform.jit_opt_b 0.00% : 0.000068s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000073s : 1: opt.transform.mutable_eliminate 0.00% : 0.000193s : 1: opt.transform.opt_after_jit_grad 1.44% : 0.080766s : 4: opt.transform.opt_resolve 0.01% : 0.000289s : 4: opt.transform.symbol_engine_opt 0.02% : 0.001105s : 1: opt_after_jit_grad 0.00% : 0.000032s : 1: order_py_execute_after_rewriter 0.00% : 0.000007s : 1: partial_unused_args_eliminate 0.00% : 0.000043s : 1: pre_auto_parallel 0.01% : 0.000664s : 1: py_interpret_to_execute 0.00% : 0.000074s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000210s : 1: remove_dup_value 6.26% : 0.351234s : 3: renormalize.infer 1.78% : 0.099951s : 3: renormalize.specialize 0.01% : 0.000411s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000485s : 1: rewriter_after_opt_a 0.74% : 0.041690s : 1: rewriter_before_opt_a 0.01% : 0.000382s : 1: symbol_engine_optimizer 69.61% : 3.907374s : 1: type_inference .. [hook] pytest_runtest_teardown:test_mint_optim_fused_adamw_float32_7d tests/st/mint/optim/test_fused_adamw.py::test_mint_optim_fused_adamw_float32_7d,max_mem:20.0M =============================== 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_7d /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 476.70s (0:07:56) ==================