[WARNING] ME(171826:281473008959280,MainProcess):2026-01-29-17:40:35.705.821 [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_003/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 2 items test_fused_adamw.py ....[WARNING] ANALYZER(171826,ffff8ab67f30,python3.9):2026-01-29-17:44:03.936.925 [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_40:_{[0]: ValueNode 147__tuple_getitem_by_number_41, [1]: CNode_42, [2]: ValueNode 1} TotalTime = 3.00626, [30] [bootstrap]: 0.00057027 [type_inference]: 2.56754 [event_method]: 0.00044617 [auto_monad]: 0.0274251 [graph_reusing]: 0.00018094 [pre_auto_parallel]: 5.005e-05 [py_interpret_to_execute]: 0.00069606 [rewriter_before_opt_a]: 0.00452622 [expand_dump_flag]: 6.067e-05 [jit_opt_a]: 0.397999, [4] [Cycle 1]: 0.300655, [27] [switch_simplify]: 0.00152255 [loop_unroll]: 0.00061762 [a_1]: 0.0590482 [with_stream_mark]: 0.00022912 [recompute_prepare]: 0.00011853 [updatestate_depend_eliminate]: 0.00058511 [updatestate_assign_eliminate]: 4.959e-05 [updatestate_loads_eliminate]: 0.00012622 [parameter_eliminate]: 5.30001e-06 [specialize_transform]: 7.407e-05 [updatestate_useless_node_eliminater]: 9.566e-05 [accelerated_algorithm]: 0.00015896 [meta_shard_fg_expand]: 4.186e-05 [get_grad_eliminate_]: 6.086e-05 [merge_forward]: 3.523e-05 [cell_reuse_recompute_pass]: 2.27001e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00012386 [j_node_and_user_rematch]: 0.00010478 [meta_fg_expand]: 0.116906 [replace_old_param]: 0.00037825 [inline_without_move]: 0.00037266 [renormalize]: 0.116958 [add_forward_monad_depend]: 0.00019841 [auto_monad_grad]: 4.049e-05 [auto_monad_eliminator]: 0.00056145 [cse]: 0.00105441 [replace_applicator]: 0.00073116 [Cycle 2]: 0.0489913, [27] [switch_simplify]: 0.00033077 [loop_unroll]: 0.00031078 [a_1]: 0.0344092 [with_stream_mark]: 0.00021046 [recompute_prepare]: 7.745e-05 [updatestate_depend_eliminate]: 8.985e-05 [updatestate_assign_eliminate]: 3.745e-05 [updatestate_loads_eliminate]: 0.00011905 [parameter_eliminate]: 3.36001e-06 [specialize_transform]: 0.00012403 [updatestate_useless_node_eliminater]: 8.24e-05 [accelerated_algorithm]: 5.868e-05 [meta_shard_fg_expand]: 2.509e-05 [get_grad_eliminate_]: 5.05e-05 [merge_forward]: 3.26e-05 [cell_reuse_recompute_pass]: 1.92001e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.449e-05 [j_node_and_user_rematch]: 8.086e-05 [meta_fg_expand]: 0.00096904 [replace_old_param]: 8.763e-05 [inline_without_move]: 4.905e-05 [renormalize]: 0.01084 [add_forward_monad_depend]: 1.45e-05 [auto_monad_grad]: 3.38999e-06 [auto_monad_eliminator]: 0.00021137 [cse]: 0.00023499 [replace_applicator]: 7.207e-05 [Cycle 3]: 0.01699, [27] [switch_simplify]: 4.49e-05 [loop_unroll]: 4.477e-05 [a_1]: 0.00140974 [with_stream_mark]: 5.17e-05 [recompute_prepare]: 5.009e-05 [updatestate_depend_eliminate]: 2.965e-05 [updatestate_assign_eliminate]: 3.028e-05 [updatestate_loads_eliminate]: 3.282e-05 [parameter_eliminate]: 2.99999e-06 [specialize_transform]: 4.486e-05 [updatestate_useless_node_eliminater]: 6.766e-05 [accelerated_algorithm]: 5.232e-05 [meta_shard_fg_expand]: 1.311e-05 [get_grad_eliminate_]: 4.291e-05 [merge_forward]: 2.68e-05 [cell_reuse_recompute_pass]: 4.85001e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.603e-05 [j_node_and_user_rematch]: 7.326e-05 [meta_fg_expand]: 1.907e-05 [replace_old_param]: 5.822e-05 [inline_without_move]: 4.261e-05 [renormalize]: 0.0140993 [add_forward_monad_depend]: 1.394e-05 [auto_monad_grad]: 3.38e-06 [auto_monad_eliminator]: 0.00012986 [cse]: 0.00019692 [replace_applicator]: 6.848e-05 [Cycle 4]: 0.00276532, [27] [switch_simplify]: 4.404e-05 [loop_unroll]: 4.438e-05 [a_1]: 0.00133146 [with_stream_mark]: 5.456e-05 [recompute_prepare]: 5.208e-05 [updatestate_depend_eliminate]: 3.41e-05 [updatestate_assign_eliminate]: 3.158e-05 [updatestate_loads_eliminate]: 3.258e-05 [parameter_eliminate]: 2.84001e-06 [specialize_transform]: 4.593e-05 [updatestate_useless_node_eliminater]: 7.744e-05 [accelerated_algorithm]: 5.792e-05 [meta_shard_fg_expand]: 1.519e-05 [get_grad_eliminate_]: 4.793e-05 [merge_forward]: 2.977e-05 [cell_reuse_recompute_pass]: 3.98999e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.784e-05 [j_node_and_user_rematch]: 7.432e-05 [meta_fg_expand]: 1.852e-05 [replace_old_param]: 5.65e-05 [inline_without_move]: 4.391e-05 [renormalize]: 9.99717e-08 [add_forward_monad_depend]: 4.97999e-06 [auto_monad_grad]: 3.61999e-06 [auto_monad_eliminator]: 0.00011193 [cse]: 0.00015688 [replace_applicator]: 5.022e-05 [py_interpret_to_execute_after_opt_a]: 5.857e-05 [rewriter_after_opt_a]: 0.00047704 [convert_after_rewriter]: 4.325e-05 [order_py_execute_after_rewriter]: 2.582e-05 [mutable_eliminate]: 0.00091521 [jit_opt_b]: 0.00081223, [1] [Cycle 1]: 0.00080018, [2] [frontend_op_eliminate]: 0.00063632 [inline_after_opt_a]: 0.00013034 [cconv]: 5.766e-05 [loop_unroll]: 0.00071192 [jit_opt_after_cconv]: 0.00088808, [1] [Cycle 1]: 0.00087578, [11] [c_1]: 0.00029154 [parameter_eliminate]: 6.49999e-06 [updatestate_depend_eliminate]: 4.567e-05 [updatestate_assign_eliminate]: 3.345e-05 [updatestate_loads_eliminate]: 3.327e-05 [cse]: 0.00017635 [call_graph_tuple_transform]: 0.00011817 [tuple_list_get_item_eliminator]: 4.798e-05 [none_parameter_eliminate]: 2.59999e-06 [renormalize]: 8.29983e-07 [switch_simplify]: 4.412e-05 [remove_dup_value]: 0.00016916 [partial_unused_args_eliminate]: 3.03e-06 [environ_conv]: 4.658e-05 [add_recomputation]: 0.00030582 [cse_after_recomputation]: 0.00015899, [1] [Cycle 1]: 0.00014767, [1] [cse]: 0.00013187 [auto_monad_reorder]: 0.00013841 [get_jit_bprop_graph]: 2.78e-06 [rewriter_after_jit_bprop_graph]: 7.10002e-06 [opt_after_jit_grad]: 0.00085718 [symbol_engine_optimizer]: 0.00033798, [1] [Cycle 1]: 0.00032916, [6] [build]: 2.993e-05 [elim_shapecalc]: 5.172e-05 [elim_not_effective]: 8.464e-05 [opt_reshape]: 4.965e-05 [fold_const_symbol]: 7.337e-05 [renormalize]: 8.09989e-07 [validate]: 0.0002166 Sums bootstrap : 0.000570s : 0.02% type_inference : 2.567542s : 86.29% event_method : 0.000446s : 0.01% auto_monad : 0.027425s : 0.92% graph_reusing : 0.000181s : 0.01% pre_auto_parallel : 0.000050s : 0.00% py_interpret_to_execute : 0.000696s : 0.02% rewriter_before_opt_a : 0.004526s : 0.15% expand_dump_flag : 0.000061s : 0.00% jit_opt_a.switch_simplify : 0.001942s : 0.07% jit_opt_a.loop_unroll : 0.001018s : 0.03% jit_opt_a.a_1 : 0.096199s : 3.23% jit_opt_a.with_stream_mark : 0.000546s : 0.02% jit_opt_a.recompute_prepare : 0.000298s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000739s : 0.02% jit_opt_a.updatestate_assign_eliminate : 0.000149s : 0.01% jit_opt_a.updatestate_loads_eliminate : 0.000311s : 0.01% jit_opt_a.parameter_eliminate : 0.000015s : 0.00% jit_opt_a.specialize_transform : 0.000289s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000323s : 0.01% jit_opt_a.accelerated_algorithm : 0.000328s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000095s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000202s : 0.01% jit_opt_a.merge_forward : 0.000124s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000013s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000392s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000333s : 0.01% jit_opt_a.meta_fg_expand : 0.117913s : 3.96% jit_opt_a.replace_old_param : 0.000581s : 0.02% jit_opt_a.inline_without_move : 0.000508s : 0.02% jit_opt_a.renormalize : 0.141897s : 4.77% jit_opt_a.add_forward_monad_depend : 0.000232s : 0.01% jit_opt_a.auto_monad_grad : 0.000051s : 0.00% jit_opt_a.auto_monad_eliminator : 0.001015s : 0.03% jit_opt_a.cse : 0.001643s : 0.06% jit_opt_a.replace_applicator : 0.000922s : 0.03% py_interpret_to_execute_after_opt_a : 0.000059s : 0.00% rewriter_after_opt_a : 0.000477s : 0.02% convert_after_rewriter : 0.000043s : 0.00% order_py_execute_after_rewriter : 0.000026s : 0.00% mutable_eliminate : 0.000915s : 0.03% jit_opt_b.frontend_op_eliminate : 0.000636s : 0.02% jit_opt_b.inline_after_opt_a : 0.000130s : 0.00% cconv : 0.000058s : 0.00% loop_unroll : 0.000712s : 0.02% jit_opt_after_cconv.c_1 : 0.000292s : 0.01% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000046s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000033s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000033s : 0.00% jit_opt_after_cconv.cse : 0.000176s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000118s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000048s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000044s : 0.00% remove_dup_value : 0.000169s : 0.01% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000047s : 0.00% add_recomputation : 0.000306s : 0.01% cse_after_recomputation.cse : 0.000132s : 0.00% auto_monad_reorder : 0.000138s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000857s : 0.03% symbol_engine_optimizer.build : 0.000030s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000052s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000085s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000050s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000073s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000217s : 0.01% Time group info: ------[substitution.] 0.035502 1515 0.28% : 0.000098s : 5: substitution.arithmetic_simplify 0.07% : 0.000024s : 3: substitution.cast_eliminate 0.34% : 0.000121s : 50: substitution.depend_value_elim 0.03% : 0.000011s : 32: substitution.elim_not_effective 0.02% : 0.000009s : 4: substitution.environ_get_add_eliminate 0.01% : 0.000005s : 2: substitution.environ_get_depend_swap 0.03% : 0.000010s : 4: substitution.environ_get_eliminate 0.07% : 0.000025s : 4: substitution.environ_get_set_eliminate 0.03% : 0.000011s : 32: substitution.fold_const_symbol 5.10% : 0.001811s : 8: substitution.getattr_setattr_resolve 0.08% : 0.000028s : 43: substitution.graph_param_transform 18.04% : 0.006404s : 170: substitution.inline 0.25% : 0.000089s : 12: substitution.inline_without_move 0.16% : 0.000056s : 147: substitution.j_node_and_user_rematch 0.25% : 0.000090s : 17: substitution.less_batch_normalization 0.08% : 0.000030s : 1: substitution.list_to_tuple_eliminator_ 0.09% : 0.000032s : 30: substitution.load_eliminater 0.27% : 0.000098s : 66: substitution.minmaximum_grad 0.00% : 0.000001s : 1: substitution.opt_reshape 0.12% : 0.000042s : 12: substitution.partial_eliminate 0.08% : 0.000028s : 6: substitution.reduce_eliminate 0.02% : 0.000008s : 4: substitution.redundant_stop_gradient_eliminater 0.24% : 0.000086s : 147: substitution.remove_not_recompute_node 0.69% : 0.000244s : 55: substitution.replace_applicator 0.15% : 0.000052s : 72: substitution.replace_old_param 0.28% : 0.000098s : 14: substitution.reshape_eliminate 0.01% : 0.000004s : 1: substitution.set_cell_output_no_recompute 0.01% : 0.000005s : 3: substitution.split_environ_get_set_with_tuple_value 0.22% : 0.000077s : 33: substitution.switch_simplify 0.02% : 0.000006s : 1: substitution.tile_eliminate 69.64% : 0.024723s : 76: substitution.tuple_list_convert_item_index_to_positive 0.72% : 0.000257s : 83: substitution.tuple_list_get_item_depend_reorder 1.36% : 0.000484s : 160: substitution.tuple_list_get_item_eliminator 0.35% : 0.000125s : 97: substitution.updatestate_pure_node_eliminater 0.88% : 0.000312s : 120: substitution.updatestate_useless_node_eliminater ------[type_inference.] 2.566390 2 94.66% : 2.429391s : 1: type_inference.infer 5.34% : 0.136999s : 1: type_inference.specialize ------[replace.] 0.003782 312 0.35% : 0.000013s : 1: replace.arithmetic_simplify 0.74% : 0.000028s : 3: replace.cast_eliminate 1.20% : 0.000045s : 5: replace.depend_value_elim 0.89% : 0.000034s : 2: replace.environ_get_set_eliminate 3.86% : 0.000146s : 6: replace.getattr_setattr_resolve 43.61% : 0.001650s : 170: replace.inline 0.61% : 0.000023s : 1: replace.list_to_tuple_eliminator_ 0.97% : 0.000037s : 2: replace.partial_eliminate 2.57% : 0.000097s : 3: replace.replace_applicator 0.17% : 0.000006s : 1: replace.reshape_eliminate 12.28% : 0.000465s : 33: replace.switch_simplify 2.52% : 0.000095s : 7: replace.tuple_list_get_item_depend_reorder 29.72% : 0.001124s : 77: replace.tuple_list_get_item_eliminator 0.50% : 0.000019s : 1: replace.updatestate_useless_node_eliminater ------[match.] 0.008632 312 0.56% : 0.000048s : 1: match.arithmetic_simplify 0.25% : 0.000021s : 3: match.cast_eliminate 0.07% : 0.000006s : 5: match.depend_value_elim 0.23% : 0.000020s : 2: match.environ_get_set_eliminate 19.78% : 0.001708s : 6: match.getattr_setattr_resolve 73.05% : 0.006306s : 170: match.inline 0.34% : 0.000029s : 1: match.list_to_tuple_eliminator_ 0.25% : 0.000022s : 2: match.partial_eliminate 1.02% : 0.000088s : 3: match.replace_applicator 0.03% : 0.000002s : 1: match.reshape_eliminate 0.71% : 0.000061s : 33: match.switch_simplify 1.07% : 0.000092s : 7: match.tuple_list_get_item_depend_reorder 2.46% : 0.000212s : 77: match.tuple_list_get_item_eliminator 0.19% : 0.000016s : 1: match.updatestate_useless_node_eliminater ------[predicate.] 0.005205 33167 1.55% : 0.000080s : 566: predicate.accumulaten_eliminater 0.20% : 0.000011s : 43: predicate.ad_related_special_op_eliminate 1.40% : 0.000073s : 566: predicate.addn_check_dump 1.44% : 0.000075s : 566: predicate.addn_zero_filter 1.99% : 0.000104s : 567: predicate.arithmetic_simplify 1.49% : 0.000078s : 571: predicate.cast_eliminate 0.12% : 0.000006s : 43: predicate.check_bprop_eliminate 1.42% : 0.000074s : 566: predicate.compare_switch_simplify 1.51% : 0.000079s : 566: predicate.depend_value_elim 1.43% : 0.000075s : 573: predicate.dict_get_item_const_eliminator 1.51% : 0.000079s : 573: predicate.dict_get_item_eliminator 1.44% : 0.000075s : 573: predicate.dict_set_item_eliminator 0.15% : 0.000008s : 43: predicate.dumpgradient_eliminate 0.07% : 0.000004s : 43: predicate.elim_not_effective 0.13% : 0.000007s : 43: predicate.elim_shapecalc_of_broadcastargs 2.03% : 0.000106s : 571: predicate.environ_add_const_eliminate 1.43% : 0.000075s : 573: predicate.environ_get_add_eliminate 1.42% : 0.000074s : 571: predicate.environ_get_depend_swap 1.46% : 0.000076s : 573: predicate.environ_get_eliminate 1.43% : 0.000074s : 573: predicate.environ_get_set_eliminate 0.06% : 0.000003s : 43: predicate.fold_const_symbol 0.57% : 0.000030s : 198: predicate.get_grad_eliminate 0.30% : 0.000016s : 40: predicate.getattr_setattr_resolve 0.05% : 0.000003s : 43: predicate.graph_param_transform 4.08% : 0.000212s : 917: predicate.inline 1.35% : 0.000070s : 404: predicate.inline_without_move 0.27% : 0.000014s : 198: predicate.j_node_and_user_rematch 0.69% : 0.000036s : 208: predicate.less_batch_normalization 1.68% : 0.000088s : 658: predicate.list_to_tuple_eliminator_ 1.90% : 0.000099s : 703: predicate.load_eliminater 0.20% : 0.000010s : 43: predicate.loop_unroll_after_grad 3.51% : 0.000182s : 1143: predicate.loop_unroll_before_grad 1.63% : 0.000085s : 623: predicate.make_slice_get_slice_eliminator 1.44% : 0.000075s : 566: predicate.merge_addn 1.46% : 0.000076s : 567: predicate.minmaximum_grad 0.23% : 0.000012s : 43: predicate.mutable_eliminate 0.13% : 0.000007s : 43: predicate.opt_reshape 2.26% : 0.000118s : 703: predicate.partial_eliminate 1.41% : 0.000074s : 561: predicate.print_const_string_wrapper 1.96% : 0.000102s : 567: predicate.reduce_eliminate 1.89% : 0.000098s : 660: predicate.redundant_stop_gradient_eliminater 0.28% : 0.000015s : 198: predicate.remove_not_recompute_node 2.06% : 0.000107s : 1142: predicate.replace_applicator 0.59% : 0.000031s : 404: predicate.replace_old_param 0.07% : 0.000004s : 43: predicate.reset_defer_inline 1.46% : 0.000076s : 568: predicate.reshape_eliminate 1.44% : 0.000075s : 561: predicate.row_tensor_add_zeros_like 0.15% : 0.000008s : 43: predicate.row_tensor_eliminate 1.44% : 0.000075s : 561: predicate.same_eliminate 0.39% : 0.000020s : 240: predicate.set_cell_output_no_recompute 0.24% : 0.000012s : 86: predicate.special_op_eliminate 0.62% : 0.000032s : 198: predicate.specialize_transform 1.63% : 0.000085s : 561: predicate.split_environ_get_set_with_tuple_value 1.45% : 0.000075s : 561: predicate.stack_unstack_eliminate 0.13% : 0.000007s : 43: predicate.switch_call_monad_eliminater 7.79% : 0.000406s : 831: predicate.switch_defer_inline 2.38% : 0.000124s : 831: predicate.switch_layer_defer_inline 7.35% : 0.000383s : 2083: predicate.switch_simplify 1.44% : 0.000075s : 567: predicate.tile_eliminate 1.45% : 0.000075s : 567: predicate.transpose_eliminate 1.87% : 0.000097s : 573: predicate.tuple_list_convert_item_index_to_positive 1.71% : 0.000089s : 580: predicate.tuple_list_get_item_depend_reorder 3.00% : 0.000156s : 743: predicate.tuple_list_get_item_eliminator 1.84% : 0.000096s : 580: predicate.tuple_list_set_item_eliminator 1.87% : 0.000097s : 657: predicate.tuple_to_list_eliminator_ 1.88% : 0.000098s : 703: predicate.updatestate_pure_node_eliminater 2.64% : 0.000137s : 902: predicate.updatestate_useless_node_eliminater 1.83% : 0.000095s : 561: predicate.value_based_eliminate 0.12% : 0.000006s : 43: predicate.virtual_view_grad_eliminate 0.17% : 0.000009s : 43: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.119382 407 90.62% : 0.108187s : 208: func_graph_cloner_run.FuncGraphClonerGraph 9.38% : 0.011194s : 199: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 3.254689 106 0.01% : 0.000313s : 1: add_recomputation 0.84% : 0.027454s : 1: auto_monad 0.00% : 0.000144s : 1: auto_monad_reorder 0.02% : 0.000600s : 1: bootstrap 0.00% : 0.000061s : 1: cconv 0.00% : 0.000047s : 1: convert_after_rewriter 0.00% : 0.000162s : 1: cse_after_recomputation 0.00% : 0.000050s : 1: environ_conv 0.01% : 0.000458s : 1: event_method 0.00% : 0.000065s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000189s : 1: graph_reusing 12.23% : 0.398003s : 1: jit_opt_a 0.03% : 0.000892s : 1: jit_opt_after_cconv 0.03% : 0.000816s : 1: jit_opt_b 0.02% : 0.000724s : 1: loop_unroll 0.03% : 0.000930s : 1: mutable_eliminate 3.17% : 0.103177s : 52: opt.transform.jit_opt_a 0.02% : 0.000495s : 4: opt.transform.jit_opt_after_cconv 0.02% : 0.000752s : 4: opt.transform.jit_opt_b 0.00% : 0.000064s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000070s : 1: opt.transform.mutable_eliminate 0.00% : 0.000159s : 1: opt.transform.opt_after_jit_grad 0.06% : 0.002097s : 4: opt.transform.opt_resolve 0.01% : 0.000254s : 4: opt.transform.symbol_engine_opt 0.03% : 0.000871s : 1: opt_after_jit_grad 0.00% : 0.000028s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000053s : 1: pre_auto_parallel 0.02% : 0.000707s : 1: py_interpret_to_execute 0.00% : 0.000065s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000175s : 1: remove_dup_value 3.03% : 0.098484s : 3: renormalize.infer 1.33% : 0.043355s : 3: renormalize.specialize 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000486s : 1: rewriter_after_opt_a 0.14% : 0.004553s : 1: rewriter_before_opt_a 0.01% : 0.000341s : 1: symbol_engine_optimizer 78.89% : 2.567576s : 1: type_inference . TotalTime = 0.16836, [21] [bootstrap]: 0.00063032 [type_inference]: 0.0970108 [event_method]: 0.00022634 [auto_monad]: 0.00036381 [graph_reusing]: 1.049e-05 [inline]: 2.57001e-06 [add_attr]: 0.00435727, [1] [add_attr_with_inline]: 0.00431815, [1] [Cycle 1]: 0.00010341, [2] [tag_attr]: 5.33e-05 [meta_addattr_fg_expand]: 1.042e-05 [parallel-infer-symbol]: 4.12998e-06 [pre_auto_parallel]: 7.648e-05 [insert-virtual-dataset]: 3.33e-06 [parallel-infer-symbol-second]: 9.00007e-07 [dataset_repeat_opt]: 2.34001e-06 [pipeline_split]: 1.74998e-06 [optimize]: 0.0642765, [53] [py_interpret_to_execute]: 4.849e-05 [rewriter_before_opt_a]: 0.00015 [opt_a]: 0.0594023, [2] [Cycle 1]: 0.057765, [45] [expand_dump_flag]: 3.78001e-06 [switch_simplify]: 0.00014949 [loop_unroll]: 5.678e-05 [a_1]: 0.0111369 [with_stream_mark]: 6.044e-05 [recompute_prepare]: 6.76e-05 [updatestate_depend_eliminate]: 0.00011926 [updatestate_assign_eliminate]: 9.99001e-06 [updatestate_loads_eliminate]: 6.968e-05 [parameter_eliminate]: 3.11001e-06 [a_2]: 0.00024406 [accelerated_algorithm]: 4.241e-05 [shard]: 2.88998e-06 [meta_shard_fg_expand]: 7.29001e-06 [shard_inline]: 1.517e-05 [merge_send_recv]: 1.601e-05 [auto_parallel]: 1.574e-05 [parallel]: 7.697e-05 [flash_sp]: 1.562e-05 [merge_comm]: 1.17e-05 [allreduce_fusion]: 8.99e-06 [matmul_add_comm_reduction]: 1.763e-05 [allreduce_slice_to_reducescatter]: 5.89993e-07 [virtual_shard_identity]: 2.132e-05 [virtual_dataset]: 1.526e-05 [get_grad_eliminate_]: 1.449e-05 [virtual_output]: 1.429e-05 [merge_forward]: 9.69e-06 [cell_reuse_recompute_pass]: 3.58e-06 [offload_activation]: 2.108e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.313e-05 [merge_recompute_call_nodes]: 1.54998e-06 [before_grad]: 2.567e-05 [set_forward_comm_id_for_comm_node_pass]: 9.40001e-06 [meta_fg_expand]: 8.62e-06 [flash_sp_send_recv_attached]: 5.81e-06 [receive_attached]: 1.623e-05 [after_resolve]: 2.671e-05 [a_after_grad]: 2.531e-05 [renormalize]: 0.0445622 [add_forward_monad_depend]: 1.318e-05 [auto_monad_grad]: 2.79999e-06 [auto_monad_eliminator]: 6.558e-05 [cse]: 0.00017212 [a_3]: 0.00012788 [Cycle 2]: 0.00161971, [45] [expand_dump_flag]: 2.74999e-06 [switch_simplify]: 1.886e-05 [loop_unroll]: 1.443e-05 [a_1]: 0.00042172 [with_stream_mark]: 2.486e-05 [recompute_prepare]: 2.268e-05 [updatestate_depend_eliminate]: 1.013e-05 [updatestate_assign_eliminate]: 1.135e-05 [updatestate_loads_eliminate]: 1.341e-05 [parameter_eliminate]: 2.29999e-06 [a_2]: 0.00021425 [accelerated_algorithm]: 2.236e-05 [shard]: 2.81999e-06 [meta_shard_fg_expand]: 4.17998e-06 [shard_inline]: 1.423e-05 [merge_send_recv]: 1.607e-05 [auto_parallel]: 1.537e-05 [parallel]: 1.029e-05 [flash_sp]: 4.66002e-06 [merge_comm]: 9.10001e-06 [allreduce_fusion]: 8.05999e-06 [matmul_add_comm_reduction]: 1.75e-05 [allreduce_slice_to_reducescatter]: 6.89994e-07 [virtual_shard_identity]: 1.76e-05 [virtual_dataset]: 1.375e-05 [get_grad_eliminate_]: 1.333e-05 [virtual_output]: 1.335e-05 [merge_forward]: 8.90999e-06 [cell_reuse_recompute_pass]: 4.35e-06 [offload_activation]: 1.846e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.997e-05 [merge_recompute_call_nodes]: 2.00002e-06 [before_grad]: 2.588e-05 [set_forward_comm_id_for_comm_node_pass]: 1.035e-05 [meta_fg_expand]: 6.12999e-06 [flash_sp_send_recv_attached]: 2.18998e-06 [receive_attached]: 2.88e-06 [after_resolve]: 2.211e-05 [a_after_grad]: 2.266e-05 [renormalize]: 1.80007e-07 [add_forward_monad_depend]: 4.52e-06 [auto_monad_grad]: 2.89001e-06 [auto_monad_eliminator]: 4.865e-05 [cse]: 7.439e-05 [a_3]: 0.00010416 [py_interpret_to_execute_after_opt_a]: 2.755e-05 [slice_cell_reuse_recomputed_activation]: 3.41001e-06 [rewriter_after_opt_a]: 0.0002065 [convert_after_rewriter]: 1.817e-05 [order_py_execute_after_rewriter]: 1.05e-05 [mutable_eliminate]: 0.0008387 [opt_b]: 0.00051366, [1] [Cycle 1]: 0.00050361, [7] [b_1]: 0.00034357 [b_2]: 1.74e-05 [updatestate_depend_eliminate]: 1.564e-05 [updatestate_assign_eliminate]: 8.74e-06 [updatestate_loads_eliminate]: 1.303e-05 [renormalize]: 1.33002e-06 [cse]: 6.247e-05 [optimize_parallel_all_gather_comm]: 3.254e-05 [overlap_param_gather]: 2.06e-06 [cconv]: 3.983e-05 [loop_unroll]: 0.00055762 [opt_after_cconv]: 0.00023593, [1] [Cycle 1]: 0.00022787, [7] [c_1]: 0.00010003 [parameter_eliminate]: 5.29e-06 [updatestate_depend_eliminate]: 1.269e-05 [updatestate_assign_eliminate]: 8.72998e-06 [updatestate_loads_eliminate]: 1.116e-05 [cse]: 5.037e-05 [renormalize]: 9.70002e-07 [remove_dup_value]: 6.455e-05 [tuple_transform]: 0.00015182, [1] [Cycle 1]: 0.00014499, [4] [d_1]: 0.00010615 [none_parameter_eliminate]: 3.2e-06 [renormalize]: 2.40019e-07 [switch_simplify]: 1.463e-05 [partial_unused_args_eliminate]: 2.46998e-06 [add_recomputation]: 0.00015352 [cse_after_recomputation]: 5.894e-05, [1] [Cycle 1]: 5.21e-05, [1] [cse]: 4.09e-05 [environ_conv]: 1.785e-05 [swap_dp_allreduce_reducescatter]: 1.422e-05 [bias_add_comm_swap]: 4.80001e-06 [label_micro_interleaved_index]: 6.86999e-06 [label_fine_grained_interleaved_index]: 2.84999e-06 [merge_cast_opt]: 1.71e-06 [slice_recompute_activation]: 2.41998e-06 [micro_interleaved_order_control]: 2.89001e-06 [assign_add_opt]: 1.29e-06 [ForceFp32Comm]: 9.89996e-07 [remove_cast_before_assign_add]: 0.00087067 [full_micro_interleaved_order_control]: 1.155e-05 [reorder_send_recv_between_fp_bp]: 3.28e-06 [comm_op_add_attrs]: 1.97999e-06 [add_comm_op_reuse_tag]: 1.37e-06 [interleave_split_concat_branches]: 1.71e-06 [interleave_parallel_branches]: 1.27e-06 [overlap_opt_shard_in_pipeline]: 5.074e-05 [overlap_opt_shard_grad_in_pipeline]: 2.36998e-06 [control_data_broadcast_order]: 5.569e-05 [grouped_pairwise_exchange_alltoall]: 1.81e-06 [offloading_packed_experts]: 9.15001e-06 [overlap_recompute_and_grad_model_parallel]: 8.85999e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.33002e-06 [overlap_recompute_allgather_and_fa_grad]: 1.47001e-06 [overlap_recompute_comm]: 2.59001e-06 [overlap_grad_ring_attention]: 8.46002e-06 [overlap_grad_flash_sp]: 5.134e-05 [begin_end_overlap_inline]: 5.39992e-07 [split_matmul_comm_elemetwise]: 2.69999e-06 [split_layernorm_comm]: 2.71999e-06 [handle_group_info]: 1.30999e-06 [symbol_engine_optimizer]: 0.00021422, [1] [Cycle 1]: 0.00020334, [6] [build]: 2.359e-05 [elim_shapecalc]: 4.422e-05 [elim_not_effective]: 3.686e-05 [opt_reshape]: 1.813e-05 [fold_const_symbol]: 2.505e-05 [renormalize]: 7.90023e-07 [detach_backward]: 3.02002e-06 [pipeline_parallel_scheduler]: 1.79e-06 [auto_monad_reorder]: 7.719e-05 [get_jit_bprop_graph]: 2.60997e-06 [rewriter_after_jit_bprop_graph]: 8.30999e-06 [opt_after_jit_grad]: 0.00094646 [validate]: 9.114e-05 Sums bootstrap : 0.000630s : 0.39% type_inference : 0.097011s : 59.71% event_method : 0.000226s : 0.14% auto_monad : 0.000364s : 0.22% graph_reusing : 0.000010s : 0.01% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000053s : 0.03% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000010s : 0.01% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000076s : 0.05% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000002s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000048s : 0.03% optimize.rewriter_before_opt_a : 0.000150s : 0.09% optimize.opt_a.expand_dump_flag : 0.000007s : 0.00% optimize.opt_a.switch_simplify : 0.000168s : 0.10% optimize.opt_a.loop_unroll : 0.000071s : 0.04% optimize.opt_a.a_1 : 0.011559s : 7.11% optimize.opt_a.with_stream_mark : 0.000085s : 0.05% optimize.opt_a.recompute_prepare : 0.000090s : 0.06% optimize.opt_a.updatestate_depend_eliminate : 0.000129s : 0.08% optimize.opt_a.updatestate_assign_eliminate : 0.000021s : 0.01% optimize.opt_a.updatestate_loads_eliminate : 0.000083s : 0.05% optimize.opt_a.parameter_eliminate : 0.000005s : 0.00% optimize.opt_a.a_2 : 0.000458s : 0.28% optimize.opt_a.accelerated_algorithm : 0.000065s : 0.04% optimize.opt_a.shard : 0.000006s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000011s : 0.01% optimize.opt_a.shard_inline : 0.000029s : 0.02% optimize.opt_a.merge_send_recv : 0.000032s : 0.02% optimize.opt_a.auto_parallel : 0.000031s : 0.02% optimize.opt_a.parallel : 0.000087s : 0.05% optimize.opt_a.flash_sp : 0.000020s : 0.01% optimize.opt_a.merge_comm : 0.000021s : 0.01% optimize.opt_a.allreduce_fusion : 0.000017s : 0.01% optimize.opt_a.matmul_add_comm_reduction : 0.000035s : 0.02% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000001s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000039s : 0.02% optimize.opt_a.virtual_dataset : 0.000029s : 0.02% optimize.opt_a.get_grad_eliminate_ : 0.000028s : 0.02% optimize.opt_a.virtual_output : 0.000028s : 0.02% optimize.opt_a.merge_forward : 0.000019s : 0.01% optimize.opt_a.cell_reuse_recompute_pass : 0.000008s : 0.00% optimize.opt_a.offload_activation : 0.000040s : 0.02% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000063s : 0.04% optimize.opt_a.merge_recompute_call_nodes : 0.000004s : 0.00% optimize.opt_a.before_grad : 0.000052s : 0.03% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000020s : 0.01% optimize.opt_a.meta_fg_expand : 0.000015s : 0.01% optimize.opt_a.flash_sp_send_recv_attached : 0.000008s : 0.00% optimize.opt_a.receive_attached : 0.000019s : 0.01% optimize.opt_a.after_resolve : 0.000049s : 0.03% optimize.opt_a.a_after_grad : 0.000048s : 0.03% optimize.opt_a.renormalize : 0.044562s : 27.43% optimize.opt_a.add_forward_monad_depend : 0.000018s : 0.01% optimize.opt_a.auto_monad_grad : 0.000006s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000114s : 0.07% optimize.opt_a.cse : 0.000247s : 0.15% optimize.opt_a.a_3 : 0.000232s : 0.14% optimize.py_interpret_to_execute_after_opt_a : 0.000028s : 0.02% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000207s : 0.13% optimize.convert_after_rewriter : 0.000018s : 0.01% optimize.order_py_execute_after_rewriter : 0.000010s : 0.01% optimize.mutable_eliminate : 0.000839s : 0.52% optimize.opt_b.b_1 : 0.000344s : 0.21% optimize.opt_b.b_2 : 0.000017s : 0.01% optimize.opt_b.updatestate_depend_eliminate : 0.000016s : 0.01% optimize.opt_b.updatestate_assign_eliminate : 0.000009s : 0.01% optimize.opt_b.updatestate_loads_eliminate : 0.000013s : 0.01% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000062s : 0.04% optimize.optimize_parallel_all_gather_comm : 0.000033s : 0.02% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000040s : 0.02% optimize.loop_unroll : 0.000558s : 0.34% optimize.opt_after_cconv.c_1 : 0.000100s : 0.06% optimize.opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000013s : 0.01% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000009s : 0.01% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000011s : 0.01% optimize.opt_after_cconv.cse : 0.000050s : 0.03% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000065s : 0.04% optimize.tuple_transform.d_1 : 0.000106s : 0.07% optimize.tuple_transform.none_parameter_eliminate : 0.000003s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000015s : 0.01% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000154s : 0.09% optimize.cse_after_recomputation.cse : 0.000041s : 0.03% optimize.environ_conv : 0.000018s : 0.01% optimize.swap_dp_allreduce_reducescatter : 0.000014s : 0.01% optimize.bias_add_comm_swap : 0.000005s : 0.00% optimize.label_micro_interleaved_index : 0.000007s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000003s : 0.00% optimize.assign_add_opt : 0.000001s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000871s : 0.54% optimize.full_micro_interleaved_order_control : 0.000012s : 0.01% optimize.reorder_send_recv_between_fp_bp : 0.000003s : 0.00% optimize.comm_op_add_attrs : 0.000002s : 0.00% optimize.add_comm_op_reuse_tag : 0.000001s : 0.00% optimize.interleave_split_concat_branches : 0.000002s : 0.00% optimize.interleave_parallel_branches : 0.000001s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000051s : 0.03% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000056s : 0.03% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000009s : 0.01% optimize.overlap_recompute_and_grad_model_parallel : 0.000009s : 0.01% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000001s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000001s : 0.00% optimize.overlap_recompute_comm : 0.000003s : 0.00% optimize.overlap_grad_ring_attention : 0.000008s : 0.01% optimize.overlap_grad_flash_sp : 0.000051s : 0.03% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000003s : 0.00% optimize.split_layernorm_comm : 0.000003s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000024s : 0.01% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000044s : 0.03% optimize.symbol_engine_optimizer.elim_not_effective : 0.000037s : 0.02% optimize.symbol_engine_optimizer.opt_reshape : 0.000018s : 0.01% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000025s : 0.02% optimize.symbol_engine_optimizer.renormalize : 0.000001s : 0.00% detach_backward : 0.000003s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000077s : 0.05% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.01% opt_after_jit_grad : 0.000946s : 0.58% validate : 0.000091s : 0.06% Time group info: ------[substitution.] 0.000532 165 2.19% : 0.000012s : 2: substitution.depend_value_elim 0.94% : 0.000005s : 9: substitution.elim_not_effective 0.71% : 0.000004s : 9: substitution.fold_const_symbol 2.21% : 0.000012s : 12: substitution.graph_param_transform 55.46% : 0.000295s : 11: substitution.inline 1.82% : 0.000010s : 18: substitution.j_node_and_user_rematch 4.51% : 0.000024s : 4: substitution.less_batch_normalization 1.51% : 0.000008s : 12: substitution.load_eliminater 2.50% : 0.000013s : 18: substitution.remove_not_recompute_node 1.90% : 0.000010s : 6: substitution.replace_old_param 1.97% : 0.000010s : 2: substitution.switch_simplify 5.41% : 0.000029s : 30: substitution.updatestate_pure_node_eliminater 18.87% : 0.000100s : 32: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.096914 2 97.76% : 0.094738s : 1: type_inference.infer 2.24% : 0.002175s : 1: type_inference.specialize ------[replace.] 0.000121 13 61.01% : 0.000074s : 11: replace.inline 38.99% : 0.000047s : 2: replace.switch_simplify ------[match.] 0.000299 13 96.97% : 0.000290s : 11: match.inline 3.03% : 0.000009s : 2: match.switch_simplify ------[predicate.] 0.000635 4059 1.14% : 0.000007s : 49: predicate.accumulaten_eliminater 1.32% : 0.000008s : 12: predicate.ad_related_special_op_eliminate 0.51% : 0.000003s : 24: predicate.addn_check_dump 1.06% : 0.000007s : 49: predicate.addn_zero_filter 1.03% : 0.000007s : 49: predicate.adjust_all_reduce_mul_add 2.16% : 0.000014s : 73: predicate.arithmetic_simplify 1.19% : 0.000008s : 49: predicate.cast_eliminate 0.55% : 0.000003s : 24: predicate.check_bprop_eliminate 0.52% : 0.000003s : 24: predicate.compare_switch_simplify 0.15% : 0.000001s : 12: predicate.const_output_eliminate 0.57% : 0.000004s : 24: predicate.depend_value_elim 1.18% : 0.000007s : 49: predicate.dict_get_item_const_eliminator 1.19% : 0.000008s : 49: predicate.dict_get_item_eliminator 1.18% : 0.000007s : 49: predicate.dict_set_item_eliminator 0.94% : 0.000006s : 24: predicate.dumpgradient_eliminate 0.26% : 0.000002s : 12: predicate.elim_not_effective 0.44% : 0.000003s : 12: predicate.elim_shapecalc_of_broadcastargs 1.37% : 0.000009s : 61: predicate.environ_add_const_eliminate 1.26% : 0.000008s : 61: predicate.environ_get_add_eliminate 1.31% : 0.000008s : 61: predicate.environ_get_depend_swap 1.82% : 0.000012s : 85: predicate.environ_get_eliminate 1.27% : 0.000008s : 61: predicate.environ_get_set_eliminate 1.38% : 0.000009s : 60: predicate.exchange_switch_depend_value 2.12% : 0.000013s : 60: predicate.float_depend_g_call 0.55% : 0.000004s : 24: predicate.float_environ_get_switch 0.74% : 0.000005s : 36: predicate.float_tuple_getitem_switch 0.14% : 0.000001s : 12: predicate.fold_const_symbol 0.59% : 0.000004s : 24: predicate.get_grad_eliminate 0.16% : 0.000001s : 12: predicate.graph_param_transform 0.50% : 0.000003s : 24: predicate.incorporate_call 0.49% : 0.000003s : 24: predicate.incorporate_call_switch 5.56% : 0.000035s : 181: predicate.inline 0.77% : 0.000005s : 24: predicate.inline_without_move 0.27% : 0.000002s : 24: predicate.j_node_and_user_rematch 0.92% : 0.000006s : 24: predicate.less_batch_normalization 1.58% : 0.000010s : 73: predicate.list_to_tuple_eliminator_ 2.70% : 0.000017s : 122: predicate.load_eliminater 0.69% : 0.000004s : 12: predicate.loop_unroll_after_grad 1.71% : 0.000011s : 78: predicate.loop_unroll_before_grad 1.72% : 0.000011s : 73: predicate.make_slice_get_slice_eliminator 0.53% : 0.000003s : 24: predicate.merge_addn 0.52% : 0.000003s : 24: predicate.micro_step_allgather_replace 0.53% : 0.000003s : 24: predicate.mini_step_allgather_replace 1.06% : 0.000007s : 49: predicate.minmaximum_grad 0.74% : 0.000005s : 12: predicate.mutable_eliminate 0.37% : 0.000002s : 12: predicate.opt_reshape 0.36% : 0.000002s : 12: predicate.parallel_virtual_node 2.03% : 0.000013s : 60: predicate.partial_defer_inline 1.44% : 0.000009s : 61: predicate.partial_eliminate 1.08% : 0.000007s : 49: predicate.print_const_string_wrapper 0.57% : 0.000004s : 24: predicate.reduce_all_const_elim 1.43% : 0.000009s : 49: predicate.reduce_eliminate 2.59% : 0.000016s : 122: predicate.redundant_stop_gradient_eliminater 0.37% : 0.000002s : 24: predicate.remove_not_recompute_node 1.26% : 0.000008s : 73: predicate.replace_applicator 0.41% : 0.000003s : 24: predicate.replace_old_param 0.22% : 0.000001s : 12: predicate.reset_defer_inline 1.12% : 0.000007s : 49: predicate.reshape_eliminate 0.57% : 0.000004s : 24: predicate.row_tensor_add_zeros_like 0.37% : 0.000002s : 12: predicate.row_tensor_eliminate 0.82% : 0.000005s : 24: predicate.same_eliminate 0.55% : 0.000004s : 32: predicate.set_cell_output_no_recompute 0.72% : 0.000005s : 24: predicate.shard_identity_eliminate 0.62% : 0.000004s : 24: predicate.special_op_eliminate 0.64% : 0.000004s : 24: predicate.specialize_transform 0.75% : 0.000005s : 24: predicate.split_environ_get_set_with_tuple_value 0.62% : 0.000004s : 24: predicate.stack_unstack_eliminate 0.30% : 0.000002s : 12: predicate.switch_call_monad_eliminater 1.40% : 0.000009s : 60: predicate.switch_defer_inline 2.14% : 0.000014s : 84: predicate.switch_layer_defer_inline 4.36% : 0.000028s : 178: predicate.switch_simplify 1.05% : 0.000007s : 49: predicate.tile_eliminate 1.07% : 0.000007s : 49: predicate.transpose_eliminate 1.73% : 0.000011s : 73: predicate.tuple_list_convert_item_index_to_positive 1.81% : 0.000012s : 73: predicate.tuple_list_get_item_const_eliminator 1.73% : 0.000011s : 73: predicate.tuple_list_get_item_depend_reorder 2.86% : 0.000018s : 97: predicate.tuple_list_get_item_eliminator 1.76% : 0.000011s : 73: predicate.tuple_list_get_set_item_eliminator 2.39% : 0.000015s : 97: predicate.tuple_list_set_item_eliminator 1.61% : 0.000010s : 73: predicate.tuple_to_list_eliminator_ 2.81% : 0.000018s : 122: predicate.updatestate_pure_node_eliminater 3.57% : 0.000023s : 146: predicate.updatestate_useless_node_eliminater 0.30% : 0.000002s : 12: predicate.value_based_eliminate 0.63% : 0.000004s : 24: predicate.virtual_dataset_eliminate 0.57% : 0.000004s : 24: predicate.virtual_output_eliminate 0.26% : 0.000002s : 12: predicate.virtual_view_grad_eliminate 0.35% : 0.000002s : 12: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.001313 18 38.53% : 0.000506s : 5: func_graph_cloner_run.FuncGraphClonerGraph 61.47% : 0.000807s : 13: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.294917 192 0.00% : 0.000004s : 1: ForceFp32Comm 1.48% : 0.004363s : 1: add_attr 1.47% : 0.004323s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.06% : 0.000165s : 1: add_recomputation 0.00% : 0.000005s : 1: assign_add_opt 0.14% : 0.000401s : 1: auto_monad 0.03% : 0.000086s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.00% : 0.000010s : 1: bias_add_comm_swap 0.23% : 0.000670s : 1: bootstrap 0.01% : 0.000044s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.02% : 0.000059s : 1: control_data_broadcast_order 0.01% : 0.000024s : 1: convert_after_rewriter 0.02% : 0.000063s : 1: cse_after_recomputation 0.00% : 0.000006s : 1: dataset_repeat_opt 0.00% : 0.000007s : 1: detach_backward 0.01% : 0.000023s : 1: environ_conv 0.08% : 0.000242s : 1: event_method 0.01% : 0.000019s : 1: full_micro_interleaved_order_control 0.00% : 0.000007s : 1: get_jit_bprop_graph 0.01% : 0.000017s : 1: graph_reusing 0.00% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000005s : 1: handle_group_info 0.00% : 0.000006s : 1: inline 0.00% : 0.000007s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000005s : 1: interleave_split_concat_branches 0.00% : 0.000007s : 1: label_fine_grained_interleaved_index 0.00% : 0.000011s : 1: label_micro_interleaved_index 0.19% : 0.000569s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.29% : 0.000858s : 1: mutable_eliminate 0.00% : 0.000012s : 1: offloading_packed_experts 0.01% : 0.000027s : 1: opt.transform.loop_unroll_optimizer 0.01% : 0.000041s : 1: opt.transform.mutable_eliminate 4.36% : 0.012871s : 78: opt.transform.opt_a 0.03% : 0.000098s : 1: opt.transform.opt_after_cconv 0.03% : 0.000075s : 1: opt.transform.opt_after_jit_grad 0.11% : 0.000327s : 28: opt.transform.opt_b 0.04% : 0.000118s : 2: opt.transform.opt_trans_graph 0.04% : 0.000116s : 4: opt.transform.symbol_engine_opt 20.14% : 0.059407s : 1: opt_a 0.08% : 0.000240s : 1: opt_after_cconv 0.33% : 0.000971s : 1: opt_after_jit_grad 0.18% : 0.000519s : 1: opt_b 21.80% : 0.064284s : 1: optimize 0.01% : 0.000037s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000014s : 1: order_py_execute_after_rewriter 0.02% : 0.000056s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000012s : 1: overlap_grad_ring_attention 0.00% : 0.000006s : 1: overlap_opt_shard_grad_in_pipeline 0.02% : 0.000057s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000005s : 1: overlap_param_gather 0.00% : 0.000004s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000012s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 1: overlap_recompute_comm 0.00% : 0.000009s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.03% : 0.000082s : 1: pre_auto_parallel 0.02% : 0.000054s : 1: py_interpret_to_execute 0.01% : 0.000032s : 1: py_interpret_to_execute_after_opt_a 0.31% : 0.000909s : 1: remove_cast_before_assign_add 0.02% : 0.000069s : 1: remove_dup_value 14.71% : 0.043373s : 1: renormalize.infer 0.40% : 0.001166s : 1: renormalize.specialize 0.00% : 0.000007s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.07% : 0.000218s : 1: rewriter_after_opt_a 0.05% : 0.000154s : 1: rewriter_before_opt_a 0.00% : 0.000007s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000006s : 1: slice_recompute_activation 0.00% : 0.000006s : 1: split_layernorm_comm 0.00% : 0.000006s : 1: split_matmul_comm_elemetwise 0.01% : 0.000018s : 1: swap_dp_allreduce_reducescatter 0.07% : 0.000218s : 1: symbol_engine_optimizer 0.05% : 0.000155s : 1: tuple_transform 32.90% : 0.097039s : 1: type_inference . [hook] pytest_runtest_teardown:test_mint_optim_fused_adamw_basic_lr_dynamic[0] tests/st/mint/optim/test_fused_adamw.py::test_mint_optim_fused_adamw_basic_lr_dynamic[0],max_mem:20.0M [WARNING] ME(171826:281473008959280,MainProcess):2026-01-29-17:44:19.665.659 [mindspore/graph/api.py:128] The function "train_step" at the file "/home/jenkins/mindspore/testcases/testcases/tests/st/mint/optim/test_fused_adamw.py", line 217 has been compiled again. Try to reuse the function object decorated by @jit to reduce the compile time. For more details, get instructions about `jit` at https://www.mindspore.cn/search?inputValue=jit. [WARNING] ANALYZER(171826,ffff8ab67f30,python3.9):2026-01-29-17:44:21.063.797 [mindspore/ccsrc/frontend/jit/ps/static_analysis/auto_monad.cc:1601] ClearIsolatedNodes] Some side effect nodes were eliminated by mistake. The node is:@214_train_step_72:_{[0]: ValueNode 363__tuple_getitem_by_number_73, [1]: CNode_74, [2]: ValueNode 1} TotalTime = 1.85258, [30] [bootstrap]: 0.00053104 [type_inference]: 1.39496 [event_method]: 0.00040509 [auto_monad]: 0.00234377 [graph_reusing]: 0.00014264 [pre_auto_parallel]: 2.547e-05 [py_interpret_to_execute]: 0.00058871 [rewriter_before_opt_a]: 0.0326707 [expand_dump_flag]: 5.7e-05 [jit_opt_a]: 0.400729, [4] [Cycle 1]: 0.316263, [27] [switch_simplify]: 0.00234943 [loop_unroll]: 0.00068777 [a_1]: 0.0337137 [with_stream_mark]: 0.00019891 [recompute_prepare]: 0.00013012 [updatestate_depend_eliminate]: 0.0442288 [updatestate_assign_eliminate]: 0.00013319 [updatestate_loads_eliminate]: 0.00018217 [parameter_eliminate]: 9.07001e-06 [specialize_transform]: 9.866e-05 [updatestate_useless_node_eliminater]: 0.00010344 [accelerated_algorithm]: 0.00013936 [meta_shard_fg_expand]: 5.265e-05 [get_grad_eliminate_]: 6.448e-05 [merge_forward]: 3.969e-05 [cell_reuse_recompute_pass]: 4.67e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00012648 [j_node_and_user_rematch]: 0.00010559 [meta_fg_expand]: 0.0155292 [replace_old_param]: 0.00036147 [inline_without_move]: 0.00035855 [renormalize]: 0.214819 [add_forward_monad_depend]: 7.444e-05 [auto_monad_grad]: 3.516e-05 [auto_monad_eliminator]: 0.00050371 [cse]: 0.00100719 [replace_applicator]: 0.00067784 [Cycle 2]: 0.07016, [27] [switch_simplify]: 0.0004974 [loop_unroll]: 0.00035252 [a_1]: 0.00999807 [with_stream_mark]: 0.00021186 [recompute_prepare]: 7.687e-05 [updatestate_depend_eliminate]: 9.236e-05 [updatestate_assign_eliminate]: 3.936e-05 [updatestate_loads_eliminate]: 0.00012388 [parameter_eliminate]: 3.46001e-06 [specialize_transform]: 5.778e-05 [updatestate_useless_node_eliminater]: 8.042e-05 [accelerated_algorithm]: 6.092e-05 [meta_shard_fg_expand]: 2.301e-05 [get_grad_eliminate_]: 4.871e-05 [merge_forward]: 3.35e-05 [cell_reuse_recompute_pass]: 3.04999e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.773e-05 [j_node_and_user_rematch]: 8.252e-05 [meta_fg_expand]: 0.00119121 [replace_old_param]: 0.00010428 [inline_without_move]: 5.264e-05 [renormalize]: 0.0560502 [add_forward_monad_depend]: 1.437e-05 [auto_monad_grad]: 3.38999e-06 [auto_monad_eliminator]: 0.00017647 [cse]: 0.0002 [replace_applicator]: 7.17e-05 [Cycle 3]: 0.00594581, [27] [switch_simplify]: 4.922e-05 [loop_unroll]: 4.669e-05 [a_1]: 0.00154408 [with_stream_mark]: 5.022e-05 [recompute_prepare]: 4.811e-05 [updatestate_depend_eliminate]: 2.993e-05 [updatestate_assign_eliminate]: 2.936e-05 [updatestate_loads_eliminate]: 3.231e-05 [parameter_eliminate]: 2.81999e-06 [specialize_transform]: 4.355e-05 [updatestate_useless_node_eliminater]: 6.191e-05 [accelerated_algorithm]: 5.093e-05 [meta_shard_fg_expand]: 1.114e-05 [get_grad_eliminate_]: 4.131e-05 [merge_forward]: 2.574e-05 [cell_reuse_recompute_pass]: 4.15e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.159e-05 [j_node_and_user_rematch]: 7.23e-05 [meta_fg_expand]: 1.742e-05 [replace_old_param]: 5.437e-05 [inline_without_move]: 4.18e-05 [renormalize]: 0.00299764 [add_forward_monad_depend]: 1.142e-05 [auto_monad_grad]: 2.96001e-06 [auto_monad_eliminator]: 0.00011205 [cse]: 0.00018447 [replace_applicator]: 6.585e-05 [Cycle 4]: 0.00266948, [27] [switch_simplify]: 4.381e-05 [loop_unroll]: 4.311e-05 [a_1]: 0.00138667 [with_stream_mark]: 5.245e-05 [recompute_prepare]: 4.734e-05 [updatestate_depend_eliminate]: 3.24e-05 [updatestate_assign_eliminate]: 3.018e-05 [updatestate_loads_eliminate]: 3.063e-05 [parameter_eliminate]: 2.16e-06 [specialize_transform]: 4.452e-05 [updatestate_useless_node_eliminater]: 6.329e-05 [accelerated_algorithm]: 5.365e-05 [meta_shard_fg_expand]: 1.444e-05 [get_grad_eliminate_]: 4.289e-05 [merge_forward]: 2.51e-05 [cell_reuse_recompute_pass]: 4.47e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.656e-05 [j_node_and_user_rematch]: 7.306e-05 [meta_fg_expand]: 1.778e-05 [replace_old_param]: 5.639e-05 [inline_without_move]: 4.233e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 3.49001e-06 [auto_monad_grad]: 2.84001e-06 [auto_monad_eliminator]: 9.737e-05 [cse]: 0.00015465 [replace_applicator]: 4.787e-05 [py_interpret_to_execute_after_opt_a]: 5.631e-05 [rewriter_after_opt_a]: 0.00043718 [convert_after_rewriter]: 3.853e-05 [order_py_execute_after_rewriter]: 2.518e-05 [mutable_eliminate]: 0.00089291 [jit_opt_b]: 0.00027746, [1] [Cycle 1]: 0.00026788, [2] [frontend_op_eliminate]: 0.00013571 [inline_after_opt_a]: 0.00011774 [cconv]: 5.261e-05 [loop_unroll]: 0.00058768 [jit_opt_after_cconv]: 0.00085279, [1] [Cycle 1]: 0.00084387, [11] [c_1]: 0.00028298 [parameter_eliminate]: 5.66e-06 [updatestate_depend_eliminate]: 4.069e-05 [updatestate_assign_eliminate]: 3.368e-05 [updatestate_loads_eliminate]: 3.228e-05 [cse]: 0.00016724 [call_graph_tuple_transform]: 0.00011531 [tuple_list_get_item_eliminator]: 4.297e-05 [none_parameter_eliminate]: 2.93e-06 [renormalize]: 6.50005e-07 [switch_simplify]: 4.269e-05 [remove_dup_value]: 0.00016322 [partial_unused_args_eliminate]: 3.61001e-06 [environ_conv]: 3.788e-05 [add_recomputation]: 0.00029106 [cse_after_recomputation]: 0.00015603, [1] [Cycle 1]: 0.00014606, [1] [cse]: 0.00012804 [auto_monad_reorder]: 0.00012051 [get_jit_bprop_graph]: 2.59001e-06 [rewriter_after_jit_bprop_graph]: 0.00036227 [opt_after_jit_grad]: 0.0146531 [symbol_engine_optimizer]: 0.00037041, [1] [Cycle 1]: 0.00035827, [6] [build]: 4.221e-05 [elim_shapecalc]: 5.38e-05 [elim_not_effective]: 9.117e-05 [opt_reshape]: 4.661e-05 [fold_const_symbol]: 7.491e-05 [renormalize]: 7.00005e-07 [validate]: 0.00019129 Sums bootstrap : 0.000531s : 0.03% type_inference : 1.394957s : 75.62% event_method : 0.000405s : 0.02% auto_monad : 0.002344s : 0.13% graph_reusing : 0.000143s : 0.01% pre_auto_parallel : 0.000025s : 0.00% py_interpret_to_execute : 0.000589s : 0.03% rewriter_before_opt_a : 0.032671s : 1.77% expand_dump_flag : 0.000057s : 0.00% jit_opt_a.switch_simplify : 0.002940s : 0.16% jit_opt_a.loop_unroll : 0.001130s : 0.06% jit_opt_a.a_1 : 0.046643s : 2.53% jit_opt_a.with_stream_mark : 0.000513s : 0.03% jit_opt_a.recompute_prepare : 0.000302s : 0.02% jit_opt_a.updatestate_depend_eliminate : 0.044383s : 2.41% jit_opt_a.updatestate_assign_eliminate : 0.000232s : 0.01% jit_opt_a.updatestate_loads_eliminate : 0.000369s : 0.02% jit_opt_a.parameter_eliminate : 0.000018s : 0.00% jit_opt_a.specialize_transform : 0.000245s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000309s : 0.02% jit_opt_a.accelerated_algorithm : 0.000305s : 0.02% jit_opt_a.meta_shard_fg_expand : 0.000101s : 0.01% jit_opt_a.get_grad_eliminate_ : 0.000197s : 0.01% jit_opt_a.merge_forward : 0.000124s : 0.01% jit_opt_a.cell_reuse_recompute_pass : 0.000016s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000402s : 0.02% jit_opt_a.j_node_and_user_rematch : 0.000333s : 0.02% jit_opt_a.meta_fg_expand : 0.016756s : 0.91% jit_opt_a.replace_old_param : 0.000577s : 0.03% jit_opt_a.inline_without_move : 0.000495s : 0.03% jit_opt_a.renormalize : 0.273867s : 14.85% jit_opt_a.add_forward_monad_depend : 0.000104s : 0.01% jit_opt_a.auto_monad_grad : 0.000044s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000890s : 0.05% jit_opt_a.cse : 0.001546s : 0.08% jit_opt_a.replace_applicator : 0.000863s : 0.05% py_interpret_to_execute_after_opt_a : 0.000056s : 0.00% rewriter_after_opt_a : 0.000437s : 0.02% convert_after_rewriter : 0.000039s : 0.00% order_py_execute_after_rewriter : 0.000025s : 0.00% mutable_eliminate : 0.000893s : 0.05% jit_opt_b.frontend_op_eliminate : 0.000136s : 0.01% jit_opt_b.inline_after_opt_a : 0.000118s : 0.01% cconv : 0.000053s : 0.00% loop_unroll : 0.000588s : 0.03% jit_opt_after_cconv.c_1 : 0.000283s : 0.02% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000041s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000034s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000032s : 0.00% jit_opt_after_cconv.cse : 0.000167s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000115s : 0.01% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000043s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000043s : 0.00% remove_dup_value : 0.000163s : 0.01% partial_unused_args_eliminate : 0.000004s : 0.00% environ_conv : 0.000038s : 0.00% add_recomputation : 0.000291s : 0.02% cse_after_recomputation.cse : 0.000128s : 0.01% auto_monad_reorder : 0.000121s : 0.01% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000362s : 0.02% opt_after_jit_grad : 0.014653s : 0.79% symbol_engine_optimizer.build : 0.000042s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000054s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000091s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000047s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000075s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000191s : 0.01% Time group info: ------[substitution.] 0.011262 1549 0.88% : 0.000099s : 5: substitution.arithmetic_simplify 0.26% : 0.000029s : 3: substitution.cast_eliminate 1.16% : 0.000130s : 51: substitution.depend_value_elim 0.10% : 0.000012s : 32: substitution.elim_not_effective 0.10% : 0.000012s : 4: substitution.environ_get_add_eliminate 0.04% : 0.000004s : 2: substitution.environ_get_depend_swap 0.08% : 0.000008s : 4: substitution.environ_get_eliminate 0.19% : 0.000021s : 4: substitution.environ_get_set_eliminate 0.09% : 0.000010s : 32: substitution.fold_const_symbol 14.11% : 0.001589s : 8: substitution.getattr_setattr_resolve 0.25% : 0.000028s : 43: substitution.graph_param_transform 60.61% : 0.006826s : 174: substitution.inline 0.74% : 0.000083s : 12: substitution.inline_without_move 0.50% : 0.000056s : 147: substitution.j_node_and_user_rematch 0.63% : 0.000071s : 17: substitution.less_batch_normalization 0.30% : 0.000034s : 1: substitution.list_to_tuple_eliminator_ 0.26% : 0.000030s : 30: substitution.load_eliminater 0.82% : 0.000093s : 69: substitution.minmaximum_grad 0.01% : 0.000001s : 1: substitution.opt_reshape 0.35% : 0.000039s : 12: substitution.partial_eliminate 0.24% : 0.000027s : 6: substitution.reduce_eliminate 0.06% : 0.000006s : 5: substitution.redundant_stop_gradient_eliminater 0.79% : 0.000089s : 147: substitution.remove_not_recompute_node 1.89% : 0.000213s : 55: substitution.replace_applicator 0.47% : 0.000053s : 72: substitution.replace_old_param 0.85% : 0.000096s : 14: substitution.reshape_eliminate 0.05% : 0.000006s : 1: substitution.set_cell_output_no_recompute 0.04% : 0.000005s : 3: substitution.split_environ_get_set_with_tuple_value 0.69% : 0.000077s : 34: substitution.switch_simplify 0.06% : 0.000007s : 1: substitution.tile_eliminate 2.71% : 0.000306s : 79: substitution.tuple_list_convert_item_index_to_positive 2.38% : 0.000268s : 88: substitution.tuple_list_get_item_depend_reorder 4.45% : 0.000501s : 167: substitution.tuple_list_get_item_eliminator 1.17% : 0.000131s : 101: substitution.updatestate_pure_node_eliminater 2.66% : 0.000300s : 125: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.394010 2 95.96% : 1.337677s : 1: type_inference.infer 4.04% : 0.056332s : 1: type_inference.specialize ------[replace.] 0.006106 322 0.18% : 0.000011s : 1: replace.arithmetic_simplify 0.46% : 0.000028s : 3: replace.cast_eliminate 0.71% : 0.000043s : 5: replace.depend_value_elim 0.45% : 0.000028s : 2: replace.environ_get_set_eliminate 1.93% : 0.000118s : 6: replace.getattr_setattr_resolve 42.71% : 0.002608s : 174: replace.inline 0.37% : 0.000023s : 1: replace.list_to_tuple_eliminator_ 0.61% : 0.000037s : 2: replace.partial_eliminate 1.42% : 0.000087s : 3: replace.replace_applicator 0.12% : 0.000007s : 1: replace.reshape_eliminate 21.03% : 0.001284s : 34: replace.switch_simplify 1.94% : 0.000118s : 9: replace.tuple_list_get_item_depend_reorder 27.72% : 0.001693s : 79: replace.tuple_list_get_item_eliminator 0.34% : 0.000021s : 2: replace.updatestate_useless_node_eliminater ------[match.] 0.008808 322 0.52% : 0.000046s : 1: match.arithmetic_simplify 0.30% : 0.000027s : 3: match.cast_eliminate 0.07% : 0.000006s : 5: match.depend_value_elim 0.19% : 0.000017s : 2: match.environ_get_set_eliminate 16.95% : 0.001493s : 6: match.getattr_setattr_resolve 76.34% : 0.006724s : 174: match.inline 0.37% : 0.000033s : 1: match.list_to_tuple_eliminator_ 0.21% : 0.000019s : 2: match.partial_eliminate 0.33% : 0.000029s : 3: match.replace_applicator 0.04% : 0.000004s : 1: match.reshape_eliminate 0.73% : 0.000064s : 34: match.switch_simplify 1.19% : 0.000105s : 9: match.tuple_list_get_item_depend_reorder 2.59% : 0.000228s : 79: match.tuple_list_get_item_eliminator 0.17% : 0.000015s : 2: match.updatestate_useless_node_eliminater ------[predicate.] 0.005226 34229 1.63% : 0.000085s : 587: predicate.accumulaten_eliminater 0.43% : 0.000022s : 43: predicate.ad_related_special_op_eliminate 1.49% : 0.000078s : 587: predicate.addn_check_dump 1.50% : 0.000078s : 587: predicate.addn_zero_filter 2.01% : 0.000105s : 588: predicate.arithmetic_simplify 1.54% : 0.000081s : 592: predicate.cast_eliminate 0.12% : 0.000006s : 43: predicate.check_bprop_eliminate 1.77% : 0.000092s : 587: predicate.compare_switch_simplify 1.59% : 0.000083s : 587: predicate.depend_value_elim 1.51% : 0.000079s : 594: predicate.dict_get_item_const_eliminator 1.56% : 0.000082s : 594: predicate.dict_get_item_eliminator 1.51% : 0.000079s : 594: predicate.dict_set_item_eliminator 0.19% : 0.000010s : 43: predicate.dumpgradient_eliminate 0.08% : 0.000004s : 43: predicate.elim_not_effective 0.13% : 0.000007s : 43: predicate.elim_shapecalc_of_broadcastargs 1.52% : 0.000079s : 592: predicate.environ_add_const_eliminate 1.49% : 0.000078s : 594: predicate.environ_get_add_eliminate 1.51% : 0.000079s : 592: predicate.environ_get_depend_swap 1.50% : 0.000078s : 594: predicate.environ_get_eliminate 1.49% : 0.000078s : 594: predicate.environ_get_set_eliminate 0.07% : 0.000004s : 43: predicate.fold_const_symbol 0.54% : 0.000028s : 198: predicate.get_grad_eliminate 0.26% : 0.000013s : 40: predicate.getattr_setattr_resolve 0.06% : 0.000003s : 43: predicate.graph_param_transform 4.35% : 0.000228s : 947: predicate.inline 1.35% : 0.000070s : 404: predicate.inline_without_move 0.27% : 0.000014s : 198: predicate.j_node_and_user_rematch 0.70% : 0.000037s : 208: predicate.less_batch_normalization 1.78% : 0.000093s : 683: predicate.list_to_tuple_eliminator_ 1.97% : 0.000103s : 728: predicate.load_eliminater 0.18% : 0.000010s : 43: predicate.loop_unroll_after_grad 4.56% : 0.000238s : 1170: predicate.loop_unroll_before_grad 1.75% : 0.000091s : 646: predicate.make_slice_get_slice_eliminator 1.51% : 0.000079s : 587: predicate.merge_addn 1.52% : 0.000079s : 588: predicate.minmaximum_grad 0.23% : 0.000012s : 43: predicate.mutable_eliminate 0.12% : 0.000006s : 43: predicate.opt_reshape 2.41% : 0.000126s : 728: predicate.partial_eliminate 1.50% : 0.000079s : 582: predicate.print_const_string_wrapper 1.94% : 0.000101s : 588: predicate.reduce_eliminate 1.88% : 0.000098s : 685: predicate.redundant_stop_gradient_eliminater 0.29% : 0.000015s : 198: predicate.remove_not_recompute_node 2.13% : 0.000111s : 1167: predicate.replace_applicator 0.59% : 0.000031s : 404: predicate.replace_old_param 0.06% : 0.000003s : 43: predicate.reset_defer_inline 1.52% : 0.000079s : 589: predicate.reshape_eliminate 1.49% : 0.000078s : 582: predicate.row_tensor_add_zeros_like 0.16% : 0.000008s : 43: predicate.row_tensor_eliminate 1.49% : 0.000078s : 582: predicate.same_eliminate 0.38% : 0.000020s : 243: predicate.set_cell_output_no_recompute 0.25% : 0.000013s : 86: predicate.special_op_eliminate 0.63% : 0.000033s : 198: predicate.specialize_transform 1.72% : 0.000090s : 582: predicate.split_environ_get_set_with_tuple_value 1.53% : 0.000080s : 582: predicate.stack_unstack_eliminate 0.13% : 0.000007s : 43: predicate.switch_call_monad_eliminater 4.16% : 0.000218s : 861: predicate.switch_defer_inline 2.52% : 0.000132s : 861: predicate.switch_layer_defer_inline 6.86% : 0.000358s : 2142: predicate.switch_simplify 1.50% : 0.000078s : 588: predicate.tile_eliminate 1.57% : 0.000082s : 588: predicate.transpose_eliminate 1.96% : 0.000102s : 594: predicate.tuple_list_convert_item_index_to_positive 1.91% : 0.000100s : 603: predicate.tuple_list_get_item_depend_reorder 3.30% : 0.000173s : 768: predicate.tuple_list_get_item_eliminator 1.80% : 0.000094s : 603: predicate.tuple_list_set_item_eliminator 1.75% : 0.000091s : 682: predicate.tuple_to_list_eliminator_ 1.96% : 0.000102s : 728: predicate.updatestate_pure_node_eliminater 2.71% : 0.000142s : 928: predicate.updatestate_useless_node_eliminater 1.85% : 0.000097s : 582: predicate.value_based_eliminate 0.12% : 0.000006s : 43: predicate.virtual_view_grad_eliminate 0.14% : 0.000007s : 43: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.038388 415 73.83% : 0.028342s : 212: func_graph_cloner_run.FuncGraphClonerGraph 26.17% : 0.010046s : 203: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.183708 106 0.01% : 0.000302s : 1: add_recomputation 0.11% : 0.002362s : 1: auto_monad 0.01% : 0.000127s : 1: auto_monad_reorder 0.03% : 0.000566s : 1: bootstrap 0.00% : 0.000056s : 1: cconv 0.00% : 0.000042s : 1: convert_after_rewriter 0.01% : 0.000160s : 1: cse_after_recomputation 0.00% : 0.000041s : 1: environ_conv 0.02% : 0.000417s : 1: event_method 0.00% : 0.000063s : 1: expand_dump_flag 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.01% : 0.000150s : 1: graph_reusing 18.35% : 0.400734s : 1: jit_opt_a 0.04% : 0.000857s : 1: jit_opt_after_cconv 0.01% : 0.000281s : 1: jit_opt_b 0.03% : 0.000598s : 1: loop_unroll 0.04% : 0.000905s : 1: mutable_eliminate 2.50% : 0.054618s : 52: opt.transform.jit_opt_a 0.02% : 0.000478s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000245s : 4: opt.transform.jit_opt_b 0.00% : 0.000059s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000068s : 1: opt.transform.mutable_eliminate 0.01% : 0.000205s : 1: opt.transform.opt_after_jit_grad 0.08% : 0.001832s : 4: opt.transform.opt_resolve 0.01% : 0.000260s : 4: opt.transform.symbol_engine_opt 0.67% : 0.014681s : 1: opt_after_jit_grad 0.00% : 0.000028s : 1: order_py_execute_after_rewriter 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000029s : 1: pre_auto_parallel 0.03% : 0.000599s : 1: py_interpret_to_execute 0.00% : 0.000060s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000171s : 1: remove_dup_value 9.63% : 0.210347s : 3: renormalize.infer 2.91% : 0.063464s : 3: renormalize.specialize 0.02% : 0.000373s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000445s : 1: rewriter_after_opt_a 1.50% : 0.032706s : 1: rewriter_before_opt_a 0.02% : 0.000376s : 1: symbol_engine_optimizer 63.88% : 1.394991s : 1: type_inference . [hook] pytest_runtest_teardown:test_mint_optim_fused_adamw_basic_lr_dynamic[1] tests/st/mint/optim/test_fused_adamw.py::test_mint_optim_fused_adamw_basic_lr_dynamic[1],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_basic_lr_dynamic[0] /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 ================== 2 passed, 26 warnings in 447.37s (0:07:27) ==================