[WARNING] ME(169179:281472833249072,MainProcess):2026-01-29-17:38:55.939.814 [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_005/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(169179,ffff803d5f30,python3.9):2026-01-29-17:44:22.268.004 [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 = 4.60649, [30] [bootstrap]: 0.00071855 [type_inference]: 3.57728 [event_method]: 0.0016844 [auto_monad]: 0.0114175 [graph_reusing]: 0.00019355 [pre_auto_parallel]: 5.094e-05 [py_interpret_to_execute]: 0.00301827 [rewriter_before_opt_a]: 0.0213291 [expand_dump_flag]: 6.265e-05 [jit_opt_a]: 0.960414, [4] [Cycle 1]: 0.634045, [27] [switch_simplify]: 0.00641004 [loop_unroll]: 0.00213541 [a_1]: 0.112453 [with_stream_mark]: 0.00166142 [recompute_prepare]: 0.00018132 [updatestate_depend_eliminate]: 0.0041368 [updatestate_assign_eliminate]: 0.00012183 [updatestate_loads_eliminate]: 0.000163 [parameter_eliminate]: 7.73999e-06 [specialize_transform]: 0.00476082 [updatestate_useless_node_eliminater]: 0.00014495 [accelerated_algorithm]: 0.00018818 [meta_shard_fg_expand]: 5.929e-05 [get_grad_eliminate_]: 8.393e-05 [merge_forward]: 4.74e-05 [cell_reuse_recompute_pass]: 5.25001e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00241265 [j_node_and_user_rematch]: 0.00017934 [meta_fg_expand]: 0.167854 [replace_old_param]: 0.00194878 [inline_without_move]: 0.00218854 [renormalize]: 0.311426 [add_forward_monad_depend]: 0.00208165 [auto_monad_grad]: 6.765e-05 [auto_monad_eliminator]: 0.00217124 [cse]: 0.00629192 [replace_applicator]: 0.00384452 [Cycle 2]: 0.250442, [27] [switch_simplify]: 0.00233862 [loop_unroll]: 0.00204571 [a_1]: 0.0545597 [with_stream_mark]: 0.0035113 [recompute_prepare]: 0.00016103 [updatestate_depend_eliminate]: 0.0016074 [updatestate_assign_eliminate]: 6.97e-05 [updatestate_loads_eliminate]: 0.00013783 [parameter_eliminate]: 6.09001e-06 [specialize_transform]: 9.394e-05 [updatestate_useless_node_eliminater]: 0.00010357 [accelerated_algorithm]: 7.732e-05 [meta_shard_fg_expand]: 3.822e-05 [get_grad_eliminate_]: 0.00234509 [merge_forward]: 5.894e-05 [cell_reuse_recompute_pass]: 4.77998e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00015948 [j_node_and_user_rematch]: 0.00013092 [meta_fg_expand]: 0.00460192 [replace_old_param]: 0.00127163 [inline_without_move]: 7.916e-05 [renormalize]: 0.173322 [add_forward_monad_depend]: 1.732e-05 [auto_monad_grad]: 3.98001e-06 [auto_monad_eliminator]: 0.00257566 [cse]: 0.00027825 [replace_applicator]: 9.654e-05 [Cycle 3]: 0.0315402, [27] [switch_simplify]: 6.136e-05 [loop_unroll]: 6.196e-05 [a_1]: 0.00855562 [with_stream_mark]: 0.0003254 [recompute_prepare]: 8.009e-05 [updatestate_depend_eliminate]: 4.223e-05 [updatestate_assign_eliminate]: 3.863e-05 [updatestate_loads_eliminate]: 4.126e-05 [parameter_eliminate]: 3.98001e-06 [specialize_transform]: 6.253e-05 [updatestate_useless_node_eliminater]: 9.888e-05 [accelerated_algorithm]: 6.961e-05 [meta_shard_fg_expand]: 2.453e-05 [get_grad_eliminate_]: 5.714e-05 [merge_forward]: 3.252e-05 [cell_reuse_recompute_pass]: 4.16001e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00011896 [j_node_and_user_rematch]: 0.00193544 [meta_fg_expand]: 3.281e-05 [replace_old_param]: 8.942e-05 [inline_without_move]: 0.00134329 [renormalize]: 0.0163399 [add_forward_monad_depend]: 1.552e-05 [auto_monad_grad]: 3.53e-06 [auto_monad_eliminator]: 0.00018733 [cse]: 0.00137801 [replace_applicator]: 9.353e-05 [Cycle 4]: 0.0123136, [27] [switch_simplify]: 6.011e-05 [loop_unroll]: 5.756e-05 [a_1]: 0.00730192 [with_stream_mark]: 9.138e-05 [recompute_prepare]: 7.532e-05 [updatestate_depend_eliminate]: 4.308e-05 [updatestate_assign_eliminate]: 3.613e-05 [updatestate_loads_eliminate]: 4.02e-05 [parameter_eliminate]: 3.58e-06 [specialize_transform]: 6.946e-05 [updatestate_useless_node_eliminater]: 0.00010062 [accelerated_algorithm]: 7.736e-05 [meta_shard_fg_expand]: 2.355e-05 [get_grad_eliminate_]: 6.207e-05 [merge_forward]: 3.178e-05 [cell_reuse_recompute_pass]: 3.78001e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00170413 [j_node_and_user_rematch]: 0.00011302 [meta_fg_expand]: 2.758e-05 [replace_old_param]: 7.844e-05 [inline_without_move]: 5.854e-05 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 7.46001e-06 [auto_monad_grad]: 3.5e-06 [auto_monad_eliminator]: 0.00166666 [cse]: 0.00022434 [replace_applicator]: 7.681e-05 [py_interpret_to_execute_after_opt_a]: 8.075e-05 [rewriter_after_opt_a]: 0.00179976 [convert_after_rewriter]: 6.092e-05 [order_py_execute_after_rewriter]: 2.952e-05 [mutable_eliminate]: 0.00421914 [jit_opt_b]: 0.00156935, [1] [Cycle 1]: 0.00154213, [2] [frontend_op_eliminate]: 0.00019819 [inline_after_opt_a]: 0.00017209 [cconv]: 7.783e-05 [loop_unroll]: 0.00278314 [jit_opt_after_cconv]: 0.00508724, [1] [Cycle 1]: 0.0050694, [11] [c_1]: 0.00268791 [parameter_eliminate]: 7.97e-06 [updatestate_depend_eliminate]: 6.636e-05 [updatestate_assign_eliminate]: 4.189e-05 [updatestate_loads_eliminate]: 4.047e-05 [cse]: 0.00022253 [call_graph_tuple_transform]: 0.00169447 [tuple_list_get_item_eliminator]: 7.174e-05 [none_parameter_eliminate]: 6.53998e-06 [renormalize]: 1.28002e-06 [switch_simplify]: 5.966e-05 [remove_dup_value]: 0.00021652 [partial_unused_args_eliminate]: 4.37e-06 [environ_conv]: 6.414e-05 [add_recomputation]: 0.00199731 [cse_after_recomputation]: 0.00156855, [1] [Cycle 1]: 0.00153519, [1] [cse]: 0.00018434 [auto_monad_reorder]: 0.0002398 [get_jit_bprop_graph]: 3.38e-06 [rewriter_after_jit_bprop_graph]: 0.00044233 [opt_after_jit_grad]: 0.00431077 [symbol_engine_optimizer]: 0.00180476, [1] [Cycle 1]: 0.00179191, [6] [build]: 4.811e-05 [elim_shapecalc]: 0.00137764 [elim_not_effective]: 0.00012378 [opt_reshape]: 6.889e-05 [fold_const_symbol]: 0.00010293 [renormalize]: 1.24e-06 [validate]: 0.00032462 Sums bootstrap : 0.000719s : 0.02% type_inference : 3.577280s : 78.36% event_method : 0.001684s : 0.04% auto_monad : 0.011417s : 0.25% graph_reusing : 0.000194s : 0.00% pre_auto_parallel : 0.000051s : 0.00% py_interpret_to_execute : 0.003018s : 0.07% rewriter_before_opt_a : 0.021329s : 0.47% expand_dump_flag : 0.000063s : 0.00% jit_opt_a.switch_simplify : 0.008870s : 0.19% jit_opt_a.loop_unroll : 0.004301s : 0.09% jit_opt_a.a_1 : 0.182870s : 4.01% jit_opt_a.with_stream_mark : 0.005589s : 0.12% jit_opt_a.recompute_prepare : 0.000498s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.005830s : 0.13% jit_opt_a.updatestate_assign_eliminate : 0.000266s : 0.01% jit_opt_a.updatestate_loads_eliminate : 0.000382s : 0.01% jit_opt_a.parameter_eliminate : 0.000021s : 0.00% jit_opt_a.specialize_transform : 0.004987s : 0.11% jit_opt_a.updatestate_useless_node_eliminater : 0.000448s : 0.01% jit_opt_a.accelerated_algorithm : 0.000412s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000146s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.002548s : 0.06% jit_opt_a.merge_forward : 0.000171s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000018s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.004395s : 0.10% jit_opt_a.j_node_and_user_rematch : 0.002359s : 0.05% jit_opt_a.meta_fg_expand : 0.172516s : 3.78% jit_opt_a.replace_old_param : 0.003388s : 0.07% jit_opt_a.inline_without_move : 0.003670s : 0.08% jit_opt_a.renormalize : 0.501088s : 10.98% jit_opt_a.add_forward_monad_depend : 0.002122s : 0.05% jit_opt_a.auto_monad_grad : 0.000079s : 0.00% jit_opt_a.auto_monad_eliminator : 0.006601s : 0.14% jit_opt_a.cse : 0.008173s : 0.18% jit_opt_a.replace_applicator : 0.004111s : 0.09% py_interpret_to_execute_after_opt_a : 0.000081s : 0.00% rewriter_after_opt_a : 0.001800s : 0.04% convert_after_rewriter : 0.000061s : 0.00% order_py_execute_after_rewriter : 0.000030s : 0.00% mutable_eliminate : 0.004219s : 0.09% jit_opt_b.frontend_op_eliminate : 0.000198s : 0.00% jit_opt_b.inline_after_opt_a : 0.000172s : 0.00% cconv : 0.000078s : 0.00% loop_unroll : 0.002783s : 0.06% jit_opt_after_cconv.c_1 : 0.002688s : 0.06% jit_opt_after_cconv.parameter_eliminate : 0.000008s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000066s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000042s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000040s : 0.00% jit_opt_after_cconv.cse : 0.000223s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.001694s : 0.04% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000072s : 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 : 0.000060s : 0.00% remove_dup_value : 0.000217s : 0.00% partial_unused_args_eliminate : 0.000004s : 0.00% environ_conv : 0.000064s : 0.00% add_recomputation : 0.001997s : 0.04% cse_after_recomputation.cse : 0.000184s : 0.00% auto_monad_reorder : 0.000240s : 0.01% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000442s : 0.01% opt_after_jit_grad : 0.004311s : 0.09% symbol_engine_optimizer.build : 0.000048s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.001378s : 0.03% symbol_engine_optimizer.elim_not_effective : 0.000124s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000069s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000103s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000325s : 0.01% Time group info: ------[substitution.] 0.065683 1840 2.92% : 0.001919s : 6: substitution.arithmetic_simplify 0.10% : 0.000062s : 4: substitution.cast_eliminate 0.41% : 0.000272s : 63: substitution.depend_value_elim 0.02% : 0.000015s : 35: substitution.elim_not_effective 0.04% : 0.000025s : 6: substitution.environ_get_add_eliminate 0.02% : 0.000015s : 4: substitution.environ_get_depend_swap 0.03% : 0.000020s : 6: substitution.environ_get_eliminate 0.05% : 0.000034s : 6: substitution.environ_get_set_eliminate 0.02% : 0.000013s : 35: substitution.fold_const_symbol 12.68% : 0.008327s : 8: substitution.getattr_setattr_resolve 0.07% : 0.000048s : 51: substitution.graph_param_transform 61.52% : 0.040405s : 162: substitution.inline 0.24% : 0.000161s : 14: substitution.inline_without_move 0.15% : 0.000100s : 158: substitution.j_node_and_user_rematch 0.14% : 0.000090s : 15: substitution.less_batch_normalization 0.11% : 0.000070s : 44: substitution.load_eliminater 0.33% : 0.000216s : 99: substitution.minmaximum_grad 0.00% : 0.000002s : 3: substitution.opt_reshape 0.09% : 0.000060s : 14: substitution.partial_eliminate 0.05% : 0.000036s : 6: substitution.reduce_eliminate 0.02% : 0.000012s : 5: substitution.redundant_stop_gradient_eliminater 0.19% : 0.000127s : 158: substitution.remove_not_recompute_node 3.35% : 0.002202s : 63: substitution.replace_applicator 0.12% : 0.000079s : 90: substitution.replace_old_param 0.22% : 0.000143s : 15: substitution.reshape_eliminate 0.01% : 0.000010s : 1: substitution.set_cell_output_no_recompute 0.02% : 0.000014s : 5: substitution.split_environ_get_set_with_tuple_value 0.16% : 0.000107s : 29: substitution.switch_simplify 0.01% : 0.000007s : 1: substitution.tile_eliminate 0.63% : 0.000412s : 107: substitution.tuple_list_convert_item_index_to_positive 0.78% : 0.000514s : 118: substitution.tuple_list_get_item_depend_reorder 7.14% : 0.004692s : 199: substitution.tuple_list_get_item_eliminator 0.51% : 0.000336s : 139: substitution.updatestate_pure_node_eliminater 7.82% : 0.005138s : 171: substitution.updatestate_useless_node_eliminater ------[type_inference.] 3.572705 2 94.98% : 3.393317s : 1: type_inference.infer 5.02% : 0.179388s : 1: type_inference.specialize ------[replace.] 0.021963 311 0.18% : 0.000039s : 1: replace.arithmetic_simplify 0.47% : 0.000104s : 4: replace.cast_eliminate 0.60% : 0.000132s : 8: replace.depend_value_elim 0.17% : 0.000038s : 2: replace.environ_get_set_eliminate 1.01% : 0.000221s : 6: replace.getattr_setattr_resolve 36.00% : 0.007906s : 162: replace.inline 0.26% : 0.000058s : 2: replace.partial_eliminate 0.66% : 0.000145s : 3: replace.replace_applicator 13.70% : 0.003008s : 29: replace.switch_simplify 0.91% : 0.000199s : 11: replace.tuple_list_get_item_depend_reorder 45.76% : 0.010051s : 81: replace.tuple_list_get_item_eliminator 0.28% : 0.000061s : 2: replace.updatestate_useless_node_eliminater ------[match.] 0.055991 311 3.28% : 0.001835s : 1: match.arithmetic_simplify 0.10% : 0.000056s : 4: match.cast_eliminate 0.03% : 0.000015s : 8: match.depend_value_elim 0.04% : 0.000023s : 2: match.environ_get_set_eliminate 14.61% : 0.008182s : 6: match.getattr_setattr_resolve 71.83% : 0.040217s : 162: match.inline 0.04% : 0.000023s : 2: match.partial_eliminate 0.08% : 0.000046s : 3: match.replace_applicator 0.16% : 0.000088s : 29: match.switch_simplify 0.36% : 0.000204s : 11: match.tuple_list_get_item_depend_reorder 6.10% : 0.003416s : 81: match.tuple_list_get_item_eliminator 3.37% : 0.001885s : 2: match.updatestate_useless_node_eliminater ------[predicate.] 0.029772 39822 0.44% : 0.000130s : 699: predicate.accumulaten_eliminater 0.06% : 0.000019s : 51: predicate.ad_related_special_op_eliminate 6.00% : 0.001788s : 699: predicate.addn_check_dump 0.43% : 0.000128s : 699: predicate.addn_zero_filter 5.58% : 0.001662s : 700: predicate.arithmetic_simplify 0.40% : 0.000119s : 704: predicate.cast_eliminate 0.03% : 0.000009s : 51: predicate.check_bprop_eliminate 0.40% : 0.000118s : 699: predicate.compare_switch_simplify 0.46% : 0.000137s : 699: predicate.depend_value_elim 0.40% : 0.000120s : 706: predicate.dict_get_item_const_eliminator 0.43% : 0.000129s : 706: predicate.dict_get_item_eliminator 0.41% : 0.000122s : 706: predicate.dict_set_item_eliminator 0.04% : 0.000011s : 51: predicate.dumpgradient_eliminate 0.02% : 0.000006s : 51: predicate.elim_not_effective 0.05% : 0.000014s : 51: predicate.elim_shapecalc_of_broadcastargs 0.41% : 0.000122s : 704: predicate.environ_add_const_eliminate 4.36% : 0.001297s : 706: predicate.environ_get_add_eliminate 0.37% : 0.000112s : 704: predicate.environ_get_depend_swap 0.42% : 0.000124s : 706: predicate.environ_get_eliminate 0.40% : 0.000119s : 706: predicate.environ_get_set_eliminate 0.02% : 0.000005s : 51: predicate.fold_const_symbol 7.64% : 0.002275s : 228: predicate.get_grad_eliminate 0.07% : 0.000022s : 40: predicate.getattr_setattr_resolve 0.02% : 0.000005s : 51: predicate.graph_param_transform 1.46% : 0.000436s : 1066: predicate.inline 5.71% : 0.001701s : 468: predicate.inline_without_move 0.08% : 0.000023s : 228: predicate.j_node_and_user_rematch 0.18% : 0.000052s : 244: predicate.less_batch_normalization 1.33% : 0.000396s : 798: predicate.list_to_tuple_eliminator_ 0.53% : 0.000157s : 851: predicate.load_eliminater 0.06% : 0.000017s : 51: predicate.loop_unroll_after_grad 5.46% : 0.001626s : 1190: predicate.loop_unroll_before_grad 0.48% : 0.000143s : 768: predicate.make_slice_get_slice_eliminator 0.38% : 0.000113s : 699: predicate.merge_addn 0.42% : 0.000126s : 700: predicate.minmaximum_grad 0.09% : 0.000026s : 51: predicate.mutable_eliminate 0.03% : 0.000010s : 51: predicate.opt_reshape 0.71% : 0.000212s : 851: predicate.partial_eliminate 0.39% : 0.000116s : 691: predicate.print_const_string_wrapper 0.63% : 0.000186s : 700: predicate.reduce_eliminate 4.71% : 0.001401s : 800: predicate.redundant_stop_gradient_eliminater 0.08% : 0.000024s : 228: predicate.remove_not_recompute_node 0.55% : 0.000163s : 1369: predicate.replace_applicator 0.16% : 0.000047s : 468: predicate.replace_old_param 0.02% : 0.000006s : 51: predicate.reset_defer_inline 0.54% : 0.000162s : 700: predicate.reshape_eliminate 0.39% : 0.000117s : 691: predicate.row_tensor_add_zeros_like 0.04% : 0.000012s : 51: predicate.row_tensor_eliminate 0.41% : 0.000121s : 691: predicate.same_eliminate 0.10% : 0.000030s : 281: predicate.set_cell_output_no_recompute 0.07% : 0.000020s : 102: predicate.special_op_eliminate 0.21% : 0.000063s : 228: predicate.specialize_transform 0.55% : 0.000164s : 691: predicate.split_environ_get_set_with_tuple_value 13.94% : 0.004150s : 691: predicate.stack_unstack_eliminate 0.04% : 0.000012s : 51: predicate.switch_call_monad_eliminater 5.68% : 0.001691s : 964: predicate.switch_defer_inline 1.51% : 0.000449s : 964: predicate.switch_layer_defer_inline 1.87% : 0.000556s : 2263: predicate.switch_simplify 0.41% : 0.000122s : 700: predicate.tile_eliminate 9.62% : 0.002865s : 700: predicate.transpose_eliminate 0.55% : 0.000165s : 706: predicate.tuple_list_convert_item_index_to_positive 0.55% : 0.000163s : 717: predicate.tuple_list_get_item_depend_reorder 7.37% : 0.002194s : 900: predicate.tuple_list_get_item_eliminator 0.57% : 0.000171s : 717: predicate.tuple_list_set_item_eliminator 0.47% : 0.000141s : 798: predicate.tuple_to_list_eliminator_ 1.34% : 0.000399s : 851: predicate.updatestate_pure_node_eliminater 0.76% : 0.000227s : 1081: predicate.updatestate_useless_node_eliminater 0.62% : 0.000186s : 691: predicate.value_based_eliminate 0.03% : 0.000008s : 51: predicate.virtual_view_grad_eliminate 0.04% : 0.000012s : 51: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.194716 453 72.68% : 0.141520s : 254: func_graph_cloner_run.FuncGraphClonerGraph 1.28% : 0.002497s : 3: func_graph_cloner_run.FuncGraphClonerNode 26.04% : 0.050699s : 196: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 5.345556 106 0.04% : 0.002019s : 1: add_recomputation 0.24% : 0.012861s : 1: auto_monad 0.00% : 0.000252s : 1: auto_monad_reorder 0.01% : 0.000754s : 1: bootstrap 0.00% : 0.000084s : 1: cconv 0.00% : 0.000066s : 1: convert_after_rewriter 0.03% : 0.001577s : 1: cse_after_recomputation 0.00% : 0.000068s : 1: environ_conv 0.03% : 0.001706s : 1: event_method 0.00% : 0.000069s : 1: expand_dump_flag 0.00% : 0.000008s : 1: get_jit_bprop_graph 0.00% : 0.000202s : 1: graph_reusing 17.97% : 0.960419s : 1: jit_opt_a 0.10% : 0.005095s : 1: jit_opt_after_cconv 0.03% : 0.001577s : 1: jit_opt_b 0.05% : 0.002806s : 1: loop_unroll 0.08% : 0.004242s : 1: mutable_eliminate 4.16% : 0.222561s : 52: opt.transform.jit_opt_a 0.08% : 0.004495s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000358s : 4: opt.transform.jit_opt_b 0.04% : 0.001962s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000197s : 1: opt.transform.mutable_eliminate 0.00% : 0.000233s : 1: opt.transform.opt_after_jit_grad 0.16% : 0.008739s : 4: opt.transform.opt_resolve 0.03% : 0.001665s : 4: opt.transform.symbol_engine_opt 0.08% : 0.004330s : 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% : 0.000055s : 1: pre_auto_parallel 0.06% : 0.003044s : 1: py_interpret_to_execute 0.00% : 0.000084s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000225s : 1: remove_dup_value 7.06% : 0.377524s : 3: renormalize.infer 2.31% : 0.123488s : 3: renormalize.specialize 0.01% : 0.000452s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.001812s : 1: rewriter_after_opt_a 0.40% : 0.021362s : 1: rewriter_before_opt_a 0.03% : 0.001811s : 1: symbol_engine_optimizer 66.92% : 3.577314s : 1: type_inference .. [hook] pytest_runtest_teardown:test_mint_optim_fused_adamw_float32_4d tests/st/mint/optim/test_fused_adamw.py::test_mint_optim_fused_adamw_float32_4d,max_mem:466.0M =============================== 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_4d /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 463.10s (0:07:43) ==================