[WARNING] ME(169177:281472870252336,MainProcess):2026-01-29-17:39:18.356.395 [mindspore/graph/_mark_deprecated.py:40] Module 'mindspore.common.api' is deprecated from version 2.9.0 and will be removed in a future version, use 'mindspore.graph.api' instead. ==================================================Ascend ============================= test session starts ============================== platform linux -- Python 3.9.19, pytest-6.2.5, py-1.11.0, pluggy-1.5.0 rootdir: /home/jenkins/mindspore/testcases/testcases/tests/st/mint/optim, configfile: ../../../../../../../sault/virtual_test/virtualenv_007/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 2 items test_fused_adamw.py ...........[WARNING] ANALYZER(169177,ffff8271ff30,python3.9):2026-01-29-17:44:22.625.741 [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 = 2.17393, [30] [bootstrap]: 0.00057069 [type_inference]: 1.73717 [event_method]: 0.00036398 [auto_monad]: 0.0148045 [graph_reusing]: 0.00017428 [pre_auto_parallel]: 4.867e-05 [py_interpret_to_execute]: 0.00071846 [rewriter_before_opt_a]: 0.00465262 [expand_dump_flag]: 5.768e-05 [jit_opt_a]: 0.409423, [4] [Cycle 1]: 0.318563, [27] [switch_simplify]: 0.00165113 [loop_unroll]: 0.00064777 [a_1]: 0.0485011 [with_stream_mark]: 0.00023941 [recompute_prepare]: 0.0001336 [updatestate_depend_eliminate]: 0.00061073 [updatestate_assign_eliminate]: 6.588e-05 [updatestate_loads_eliminate]: 0.00013211 [parameter_eliminate]: 6.52001e-06 [specialize_transform]: 8.477e-05 [updatestate_useless_node_eliminater]: 9.996e-05 [accelerated_algorithm]: 0.00015504 [meta_shard_fg_expand]: 4.513e-05 [get_grad_eliminate_]: 6.336e-05 [merge_forward]: 3.763e-05 [cell_reuse_recompute_pass]: 2.37999e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00012848 [j_node_and_user_rematch]: 0.0001077 [meta_fg_expand]: 0.0781441 [replace_old_param]: 0.00037746 [inline_without_move]: 0.00035948 [renormalize]: 0.183787 [add_forward_monad_depend]: 7.23e-05 [auto_monad_grad]: 3.918e-05 [auto_monad_eliminator]: 0.00057204 [cse]: 0.00113766 [replace_applicator]: 0.00079564 [Cycle 2]: 0.0250299, [27] [switch_simplify]: 0.00032853 [loop_unroll]: 0.00031398 [a_1]: 0.0110749 [with_stream_mark]: 0.00024169 [recompute_prepare]: 8.36e-05 [updatestate_depend_eliminate]: 9.364e-05 [updatestate_assign_eliminate]: 3.924e-05 [updatestate_loads_eliminate]: 0.00012459 [parameter_eliminate]: 3.57002e-06 [specialize_transform]: 6.104e-05 [updatestate_useless_node_eliminater]: 7.967e-05 [accelerated_algorithm]: 6.043e-05 [meta_shard_fg_expand]: 2.727e-05 [get_grad_eliminate_]: 4.857e-05 [merge_forward]: 3.357e-05 [cell_reuse_recompute_pass]: 2.09e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.532e-05 [j_node_and_user_rematch]: 8.304e-05 [meta_fg_expand]: 0.00093627 [replace_old_param]: 9.778e-05 [inline_without_move]: 5.084e-05 [renormalize]: 0.010223 [add_forward_monad_depend]: 1.592e-05 [auto_monad_grad]: 3.80998e-06 [auto_monad_eliminator]: 0.00019459 [cse]: 0.00021889 [replace_applicator]: 7.323e-05 [Cycle 3]: 0.0430191, [27] [switch_simplify]: 4.569e-05 [loop_unroll]: 4.427e-05 [a_1]: 0.00151595 [with_stream_mark]: 6.13e-05 [recompute_prepare]: 5.826e-05 [updatestate_depend_eliminate]: 3.206e-05 [updatestate_assign_eliminate]: 3.164e-05 [updatestate_loads_eliminate]: 3.472e-05 [parameter_eliminate]: 3.54002e-06 [specialize_transform]: 4.753e-05 [updatestate_useless_node_eliminater]: 6.993e-05 [accelerated_algorithm]: 5.498e-05 [meta_shard_fg_expand]: 1.216e-05 [get_grad_eliminate_]: 4.66e-05 [merge_forward]: 2.737e-05 [cell_reuse_recompute_pass]: 4.68001e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.63e-05 [j_node_and_user_rematch]: 7.513e-05 [meta_fg_expand]: 1.904e-05 [replace_old_param]: 6.028e-05 [inline_without_move]: 4.468e-05 [renormalize]: 0.0399429 [add_forward_monad_depend]: 1.369e-05 [auto_monad_grad]: 3.78999e-06 [auto_monad_eliminator]: 0.00013683 [cse]: 0.00020486 [replace_applicator]: 7.438e-05 [Cycle 4]: 0.00278807, [27] [switch_simplify]: 4.665e-05 [loop_unroll]: 4.312e-05 [a_1]: 0.00138504 [with_stream_mark]: 5.791e-05 [recompute_prepare]: 5.441e-05 [updatestate_depend_eliminate]: 3.517e-05 [updatestate_assign_eliminate]: 3.327e-05 [updatestate_loads_eliminate]: 3.127e-05 [parameter_eliminate]: 3.24001e-06 [specialize_transform]: 4.914e-05 [updatestate_useless_node_eliminater]: 7.122e-05 [accelerated_algorithm]: 5.96e-05 [meta_shard_fg_expand]: 1.424e-05 [get_grad_eliminate_]: 4.436e-05 [merge_forward]: 2.894e-05 [cell_reuse_recompute_pass]: 3.67002e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.528e-05 [j_node_and_user_rematch]: 7.557e-05 [meta_fg_expand]: 2.005e-05 [replace_old_param]: 6.242e-05 [inline_without_move]: 4.335e-05 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 6.19001e-06 [auto_monad_grad]: 3.92998e-06 [auto_monad_eliminator]: 0.0001055 [cse]: 0.00015857 [replace_applicator]: 5.081e-05 [py_interpret_to_execute_after_opt_a]: 5.892e-05 [rewriter_after_opt_a]: 0.00045407 [convert_after_rewriter]: 4.363e-05 [order_py_execute_after_rewriter]: 2.718e-05 [mutable_eliminate]: 0.00085276 [jit_opt_b]: 0.00028222, [1] [Cycle 1]: 0.00027309, [2] [frontend_op_eliminate]: 0.00013544 [inline_after_opt_a]: 0.00012295 [cconv]: 5.329e-05 [loop_unroll]: 0.00056861 [jit_opt_after_cconv]: 0.00087047, [1] [Cycle 1]: 0.00086004, [11] [c_1]: 0.00028316 [parameter_eliminate]: 5.72999e-06 [updatestate_depend_eliminate]: 4.212e-05 [updatestate_assign_eliminate]: 3.571e-05 [updatestate_loads_eliminate]: 3.357e-05 [cse]: 0.00016266 [call_graph_tuple_transform]: 0.00012736 [tuple_list_get_item_eliminator]: 4.784e-05 [none_parameter_eliminate]: 3.14999e-06 [renormalize]: 9.20001e-07 [switch_simplify]: 4.485e-05 [remove_dup_value]: 0.00016203 [partial_unused_args_eliminate]: 2.76999e-06 [environ_conv]: 4.832e-05 [add_recomputation]: 0.00033339 [cse_after_recomputation]: 0.00015644, [1] [Cycle 1]: 0.00014645, [1] [cse]: 0.00013043 [auto_monad_reorder]: 0.00012718 [get_jit_bprop_graph]: 2.76e-06 [rewriter_after_jit_bprop_graph]: 6.02001e-06 [opt_after_jit_grad]: 0.00082752 [symbol_engine_optimizer]: 0.00032759, [1] [Cycle 1]: 0.00031946, [6] [build]: 3.075e-05 [elim_shapecalc]: 5.162e-05 [elim_not_effective]: 8.179e-05 [opt_reshape]: 4.729e-05 [fold_const_symbol]: 7.148e-05 [renormalize]: 1.17e-06 [validate]: 0.00026109 Sums bootstrap : 0.000571s : 0.03% type_inference : 1.737166s : 80.73% event_method : 0.000364s : 0.02% auto_monad : 0.014804s : 0.69% graph_reusing : 0.000174s : 0.01% pre_auto_parallel : 0.000049s : 0.00% py_interpret_to_execute : 0.000718s : 0.03% rewriter_before_opt_a : 0.004653s : 0.22% expand_dump_flag : 0.000058s : 0.00% jit_opt_a.switch_simplify : 0.002072s : 0.10% jit_opt_a.loop_unroll : 0.001049s : 0.05% jit_opt_a.a_1 : 0.062477s : 2.90% jit_opt_a.with_stream_mark : 0.000600s : 0.03% jit_opt_a.recompute_prepare : 0.000330s : 0.02% jit_opt_a.updatestate_depend_eliminate : 0.000772s : 0.04% jit_opt_a.updatestate_assign_eliminate : 0.000170s : 0.01% jit_opt_a.updatestate_loads_eliminate : 0.000323s : 0.01% jit_opt_a.parameter_eliminate : 0.000017s : 0.00% jit_opt_a.specialize_transform : 0.000242s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000321s : 0.01% jit_opt_a.accelerated_algorithm : 0.000330s : 0.02% jit_opt_a.meta_shard_fg_expand : 0.000099s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000203s : 0.01% jit_opt_a.merge_forward : 0.000128s : 0.01% jit_opt_a.cell_reuse_recompute_pass : 0.000013s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000395s : 0.02% jit_opt_a.j_node_and_user_rematch : 0.000341s : 0.02% jit_opt_a.meta_fg_expand : 0.079119s : 3.68% jit_opt_a.replace_old_param : 0.000598s : 0.03% jit_opt_a.inline_without_move : 0.000498s : 0.02% jit_opt_a.renormalize : 0.233953s : 10.87% jit_opt_a.add_forward_monad_depend : 0.000108s : 0.01% jit_opt_a.auto_monad_grad : 0.000051s : 0.00% jit_opt_a.auto_monad_eliminator : 0.001009s : 0.05% jit_opt_a.cse : 0.001720s : 0.08% jit_opt_a.replace_applicator : 0.000994s : 0.05% py_interpret_to_execute_after_opt_a : 0.000059s : 0.00% rewriter_after_opt_a : 0.000454s : 0.02% convert_after_rewriter : 0.000044s : 0.00% order_py_execute_after_rewriter : 0.000027s : 0.00% mutable_eliminate : 0.000853s : 0.04% jit_opt_b.frontend_op_eliminate : 0.000135s : 0.01% jit_opt_b.inline_after_opt_a : 0.000123s : 0.01% cconv : 0.000053s : 0.00% loop_unroll : 0.000569s : 0.03% jit_opt_after_cconv.c_1 : 0.000283s : 0.01% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000042s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000036s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000034s : 0.00% jit_opt_after_cconv.cse : 0.000163s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000127s : 0.01% 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 : 0.000045s : 0.00% remove_dup_value : 0.000162s : 0.01% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000048s : 0.00% add_recomputation : 0.000333s : 0.02% cse_after_recomputation.cse : 0.000130s : 0.01% auto_monad_reorder : 0.000127s : 0.01% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.00% opt_after_jit_grad : 0.000828s : 0.04% symbol_engine_optimizer.build : 0.000031s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000052s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000082s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000047s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000071s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000261s : 0.01% Time group info: ------[substitution.] 0.012730 1520 0.87% : 0.000111s : 5: substitution.arithmetic_simplify 0.24% : 0.000031s : 3: substitution.cast_eliminate 1.22% : 0.000156s : 50: substitution.depend_value_elim 0.08% : 0.000011s : 32: substitution.elim_not_effective 0.08% : 0.000010s : 4: substitution.environ_get_add_eliminate 0.03% : 0.000004s : 2: substitution.environ_get_depend_swap 0.08% : 0.000011s : 4: substitution.environ_get_eliminate 0.21% : 0.000026s : 4: substitution.environ_get_set_eliminate 0.09% : 0.000011s : 32: substitution.fold_const_symbol 15.91% : 0.002025s : 8: substitution.getattr_setattr_resolve 0.24% : 0.000030s : 44: substitution.graph_param_transform 59.26% : 0.007543s : 170: substitution.inline 0.67% : 0.000086s : 12: substitution.inline_without_move 0.45% : 0.000058s : 147: substitution.j_node_and_user_rematch 0.53% : 0.000068s : 17: substitution.less_batch_normalization 0.27% : 0.000034s : 1: substitution.list_to_tuple_eliminator_ 0.26% : 0.000033s : 30: substitution.load_eliminater 0.83% : 0.000106s : 66: substitution.minmaximum_grad 0.01% : 0.000001s : 1: substitution.opt_reshape 0.40% : 0.000051s : 12: substitution.partial_eliminate 0.24% : 0.000031s : 6: substitution.reduce_eliminate 0.05% : 0.000006s : 4: substitution.redundant_stop_gradient_eliminater 0.65% : 0.000083s : 147: substitution.remove_not_recompute_node 1.68% : 0.000214s : 55: substitution.replace_applicator 0.43% : 0.000055s : 76: substitution.replace_old_param 0.85% : 0.000109s : 14: substitution.reshape_eliminate 0.05% : 0.000006s : 1: substitution.set_cell_output_no_recompute 0.04% : 0.000006s : 3: substitution.split_environ_get_set_with_tuple_value 0.62% : 0.000079s : 33: substitution.switch_simplify 0.06% : 0.000007s : 1: substitution.tile_eliminate 2.89% : 0.000368s : 76: substitution.tuple_list_convert_item_index_to_positive 2.49% : 0.000317s : 83: substitution.tuple_list_get_item_depend_reorder 4.21% : 0.000536s : 160: substitution.tuple_list_get_item_eliminator 1.26% : 0.000161s : 97: substitution.updatestate_pure_node_eliminater 2.74% : 0.000349s : 120: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.736236 2 95.48% : 1.657766s : 1: type_inference.infer 4.52% : 0.078470s : 1: type_inference.specialize ------[replace.] 0.004291 312 0.44% : 0.000019s : 1: replace.arithmetic_simplify 0.74% : 0.000032s : 3: replace.cast_eliminate 1.08% : 0.000046s : 5: replace.depend_value_elim 0.94% : 0.000040s : 2: replace.environ_get_set_eliminate 3.59% : 0.000154s : 6: replace.getattr_setattr_resolve 46.60% : 0.002000s : 170: replace.inline 0.60% : 0.000026s : 1: replace.list_to_tuple_eliminator_ 0.97% : 0.000042s : 2: replace.partial_eliminate 4.44% : 0.000191s : 3: replace.replace_applicator 0.17% : 0.000007s : 1: replace.reshape_eliminate 12.58% : 0.000540s : 33: replace.switch_simplify 3.04% : 0.000130s : 7: replace.tuple_list_get_item_depend_reorder 24.28% : 0.001042s : 77: replace.tuple_list_get_item_eliminator 0.54% : 0.000023s : 1: replace.updatestate_useless_node_eliminater ------[match.] 0.010027 312 0.58% : 0.000059s : 1: match.arithmetic_simplify 0.28% : 0.000028s : 3: match.cast_eliminate 0.08% : 0.000008s : 5: match.depend_value_elim 0.21% : 0.000021s : 2: match.environ_get_set_eliminate 19.24% : 0.001929s : 6: match.getattr_setattr_resolve 74.02% : 0.007422s : 170: match.inline 0.34% : 0.000034s : 1: match.list_to_tuple_eliminator_ 0.26% : 0.000026s : 2: match.partial_eliminate 0.40% : 0.000040s : 3: match.replace_applicator 0.03% : 0.000003s : 1: match.reshape_eliminate 0.64% : 0.000064s : 33: match.switch_simplify 1.21% : 0.000121s : 7: match.tuple_list_get_item_depend_reorder 2.54% : 0.000254s : 77: match.tuple_list_get_item_eliminator 0.18% : 0.000018s : 1: match.updatestate_useless_node_eliminater ------[predicate.] 0.005596 33426 1.39% : 0.000078s : 570: predicate.accumulaten_eliminater 0.18% : 0.000010s : 44: predicate.ad_related_special_op_eliminate 1.33% : 0.000074s : 570: predicate.addn_check_dump 1.56% : 0.000088s : 570: predicate.addn_zero_filter 2.44% : 0.000136s : 571: predicate.arithmetic_simplify 2.13% : 0.000119s : 575: predicate.cast_eliminate 0.11% : 0.000006s : 44: predicate.check_bprop_eliminate 1.46% : 0.000082s : 570: predicate.compare_switch_simplify 1.55% : 0.000087s : 570: predicate.depend_value_elim 1.35% : 0.000075s : 577: predicate.dict_get_item_const_eliminator 1.38% : 0.000077s : 577: predicate.dict_get_item_eliminator 1.36% : 0.000076s : 577: predicate.dict_set_item_eliminator 0.14% : 0.000008s : 44: predicate.dumpgradient_eliminate 0.07% : 0.000004s : 44: predicate.elim_not_effective 0.12% : 0.000007s : 44: predicate.elim_shapecalc_of_broadcastargs 1.34% : 0.000075s : 575: predicate.environ_add_const_eliminate 1.33% : 0.000074s : 577: predicate.environ_get_add_eliminate 1.31% : 0.000074s : 575: predicate.environ_get_depend_swap 1.37% : 0.000077s : 577: predicate.environ_get_eliminate 1.33% : 0.000075s : 577: predicate.environ_get_set_eliminate 0.06% : 0.000003s : 44: predicate.fold_const_symbol 0.55% : 0.000031s : 202: predicate.get_grad_eliminate 0.28% : 0.000016s : 40: predicate.getattr_setattr_resolve 0.05% : 0.000003s : 44: predicate.graph_param_transform 4.11% : 0.000230s : 923: predicate.inline 1.25% : 0.000070s : 408: predicate.inline_without_move 0.26% : 0.000015s : 202: predicate.j_node_and_user_rematch 0.68% : 0.000038s : 212: predicate.less_batch_normalization 1.67% : 0.000093s : 662: predicate.list_to_tuple_eliminator_ 1.86% : 0.000104s : 708: predicate.load_eliminater 0.19% : 0.000011s : 44: predicate.loop_unroll_after_grad 3.43% : 0.000192s : 1151: predicate.loop_unroll_before_grad 1.53% : 0.000085s : 628: predicate.make_slice_get_slice_eliminator 1.34% : 0.000075s : 570: predicate.merge_addn 1.37% : 0.000077s : 571: predicate.minmaximum_grad 0.21% : 0.000012s : 44: predicate.mutable_eliminate 0.11% : 0.000006s : 44: predicate.opt_reshape 2.14% : 0.000120s : 708: predicate.partial_eliminate 1.38% : 0.000077s : 565: predicate.print_const_string_wrapper 1.73% : 0.000097s : 571: predicate.reduce_eliminate 8.98% : 0.000502s : 664: predicate.redundant_stop_gradient_eliminater 0.27% : 0.000015s : 202: predicate.remove_not_recompute_node 1.99% : 0.000111s : 1150: predicate.replace_applicator 0.60% : 0.000034s : 408: predicate.replace_old_param 0.07% : 0.000004s : 44: predicate.reset_defer_inline 1.41% : 0.000079s : 572: predicate.reshape_eliminate 1.47% : 0.000082s : 565: predicate.row_tensor_add_zeros_like 0.13% : 0.000007s : 44: predicate.row_tensor_eliminate 1.41% : 0.000079s : 565: predicate.same_eliminate 0.38% : 0.000021s : 244: predicate.set_cell_output_no_recompute 0.24% : 0.000013s : 88: predicate.special_op_eliminate 0.61% : 0.000034s : 202: predicate.specialize_transform 1.67% : 0.000093s : 565: predicate.split_environ_get_set_with_tuple_value 1.34% : 0.000075s : 565: predicate.stack_unstack_eliminate 0.12% : 0.000007s : 44: predicate.switch_call_monad_eliminater 3.72% : 0.000208s : 835: predicate.switch_defer_inline 2.44% : 0.000137s : 835: predicate.switch_layer_defer_inline 6.28% : 0.000351s : 2096: predicate.switch_simplify 1.48% : 0.000083s : 571: predicate.tile_eliminate 1.40% : 0.000078s : 571: predicate.transpose_eliminate 1.82% : 0.000102s : 577: predicate.tuple_list_convert_item_index_to_positive 1.64% : 0.000092s : 584: predicate.tuple_list_get_item_depend_reorder 3.16% : 0.000177s : 749: predicate.tuple_list_get_item_eliminator 1.72% : 0.000096s : 584: predicate.tuple_list_set_item_eliminator 1.80% : 0.000101s : 661: predicate.tuple_to_list_eliminator_ 1.79% : 0.000100s : 708: predicate.updatestate_pure_node_eliminater 2.53% : 0.000141s : 911: predicate.updatestate_useless_node_eliminater 1.81% : 0.000101s : 565: predicate.value_based_eliminate 0.10% : 0.000006s : 44: predicate.virtual_view_grad_eliminate 0.15% : 0.000008s : 44: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.084084 407 86.82% : 0.073000s : 208: func_graph_cloner_run.FuncGraphClonerGraph 13.18% : 0.011084s : 199: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.480567 106 0.01% : 0.000339s : 1: add_recomputation 0.60% : 0.014822s : 1: auto_monad 0.01% : 0.000131s : 1: auto_monad_reorder 0.02% : 0.000597s : 1: bootstrap 0.00% : 0.000056s : 1: cconv 0.00% : 0.000048s : 1: convert_after_rewriter 0.01% : 0.000160s : 1: cse_after_recomputation 0.00% : 0.000051s : 1: environ_conv 0.02% : 0.000373s : 1: event_method 0.00% : 0.000063s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000182s : 1: graph_reusing 16.51% : 0.409427s : 1: jit_opt_a 0.04% : 0.000875s : 1: jit_opt_after_cconv 0.01% : 0.000286s : 1: jit_opt_b 0.02% : 0.000578s : 1: loop_unroll 0.03% : 0.000864s : 1: mutable_eliminate 2.81% : 0.069666s : 52: opt.transform.jit_opt_a 0.02% : 0.000497s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000247s : 4: opt.transform.jit_opt_b 0.00% : 0.000062s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000070s : 1: opt.transform.mutable_eliminate 0.01% : 0.000157s : 1: opt.transform.opt_after_jit_grad 0.09% : 0.002319s : 4: opt.transform.opt_resolve 0.01% : 0.000247s : 4: opt.transform.symbol_engine_opt 0.03% : 0.000838s : 1: opt_after_jit_grad 0.00% : 0.000030s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000052s : 1: pre_auto_parallel 0.03% : 0.000727s : 1: py_interpret_to_execute 0.00% : 0.000062s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000167s : 1: remove_dup_value 7.07% : 0.175481s : 3: renormalize.infer 2.35% : 0.058404s : 3: renormalize.specialize 0.00% : 0.000008s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000461s : 1: rewriter_after_opt_a 0.19% : 0.004681s : 1: rewriter_before_opt_a 0.01% : 0.000331s : 1: symbol_engine_optimizer 70.03% : 1.737195s : 1: type_inference . TotalTime = 0.166037, [21] [bootstrap]: 0.0007749 [type_inference]: 0.129641 [event_method]: 0.00073301 [auto_monad]: 0.00046894 [graph_reusing]: 1.133e-05 [inline]: 3.08e-06 [add_attr]: 0.00497801, [1] [add_attr_with_inline]: 0.00493521, [1] [Cycle 1]: 0.00011834, [2] [tag_attr]: 5.37e-05 [meta_addattr_fg_expand]: 1.183e-05 [parallel-infer-symbol]: 3.66001e-06 [pre_auto_parallel]: 6.949e-05 [insert-virtual-dataset]: 2.93e-06 [parallel-infer-symbol-second]: 8.89995e-07 [dataset_repeat_opt]: 1.99999e-06 [pipeline_split]: 1.70001e-06 [optimize]: 0.0283642, [53] [py_interpret_to_execute]: 6.415e-05 [rewriter_before_opt_a]: 0.00016834 [opt_a]: 0.0247683, [2] [Cycle 1]: 0.0230345, [45] [expand_dump_flag]: 6.56999e-06 [switch_simplify]: 0.0002244 [loop_unroll]: 6.253e-05 [a_1]: 0.00196776 [with_stream_mark]: 4.025e-05 [recompute_prepare]: 2.946e-05 [updatestate_depend_eliminate]: 8.487e-05 [updatestate_assign_eliminate]: 1.001e-05 [updatestate_loads_eliminate]: 6.587e-05 [parameter_eliminate]: 2.59999e-06 [a_2]: 0.00024131 [accelerated_algorithm]: 4.524e-05 [shard]: 2.99999e-06 [meta_shard_fg_expand]: 1.002e-05 [shard_inline]: 1.723e-05 [merge_send_recv]: 1.587e-05 [auto_parallel]: 1.663e-05 [parallel]: 0.00012154 [flash_sp]: 2.427e-05 [merge_comm]: 1.133e-05 [allreduce_fusion]: 9.17999e-06 [matmul_add_comm_reduction]: 1.922e-05 [allreduce_slice_to_reducescatter]: 1.02e-06 [virtual_shard_identity]: 2.43e-05 [virtual_dataset]: 1.629e-05 [get_grad_eliminate_]: 1.478e-05 [virtual_output]: 1.53e-05 [merge_forward]: 9.84999e-06 [cell_reuse_recompute_pass]: 1.85001e-06 [offload_activation]: 2.059e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.224e-05 [merge_recompute_call_nodes]: 1.45999e-06 [before_grad]: 2.678e-05 [set_forward_comm_id_for_comm_node_pass]: 1.018e-05 [meta_fg_expand]: 1.018e-05 [flash_sp_send_recv_attached]: 5.40999e-06 [receive_attached]: 2.26998e-06 [after_resolve]: 2.395e-05 [a_after_grad]: 2.445e-05 [renormalize]: 0.0189237 [add_forward_monad_depend]: 1.203e-05 [auto_monad_grad]: 2.93e-06 [auto_monad_eliminator]: 6.134e-05 [cse]: 0.00024743 [a_3]: 0.00013078 [Cycle 2]: 0.0017176, [45] [expand_dump_flag]: 3.24001e-06 [switch_simplify]: 1.916e-05 [loop_unroll]: 1.593e-05 [a_1]: 0.00042743 [with_stream_mark]: 2.605e-05 [recompute_prepare]: 1.565e-05 [updatestate_depend_eliminate]: 1.051e-05 [updatestate_assign_eliminate]: 1.079e-05 [updatestate_loads_eliminate]: 1.42e-05 [parameter_eliminate]: 2.02999e-06 [a_2]: 0.00021032 [accelerated_algorithm]: 2.236e-05 [shard]: 2.18002e-06 [meta_shard_fg_expand]: 5.21002e-06 [shard_inline]: 1.439e-05 [merge_send_recv]: 1.563e-05 [auto_parallel]: 1.513e-05 [parallel]: 9.57001e-06 [flash_sp]: 4.17003e-06 [merge_comm]: 9.29998e-06 [allreduce_fusion]: 8.37998e-06 [matmul_add_comm_reduction]: 1.922e-05 [allreduce_slice_to_reducescatter]: 6.50005e-07 [virtual_shard_identity]: 1.634e-05 [virtual_dataset]: 1.44e-05 [get_grad_eliminate_]: 1.411e-05 [virtual_output]: 1.407e-05 [merge_forward]: 1.018e-05 [cell_reuse_recompute_pass]: 4.3e-06 [offload_activation]: 1.892e-05 [cell_reuse_handle_not_recompute_node_pass]: 0.00018018 [merge_recompute_call_nodes]: 1.96998e-06 [before_grad]: 2.783e-05 [set_forward_comm_id_for_comm_node_pass]: 1.249e-05 [meta_fg_expand]: 7.95e-06 [flash_sp_send_recv_attached]: 1.57001e-06 [receive_attached]: 2.48e-06 [after_resolve]: 2.411e-05 [a_after_grad]: 2.414e-05 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 3.61999e-06 [auto_monad_grad]: 2.28998e-06 [auto_monad_eliminator]: 4.251e-05 [cse]: 5.477e-05 [a_3]: 9.547e-05 [py_interpret_to_execute_after_opt_a]: 2.681e-05 [slice_cell_reuse_recomputed_activation]: 2.26e-06 [rewriter_after_opt_a]: 0.00019848 [convert_after_rewriter]: 1.493e-05 [order_py_execute_after_rewriter]: 1.053e-05 [mutable_eliminate]: 0.00080585 [opt_b]: 0.00049374, [1] [Cycle 1]: 0.000486, [7] [b_1]: 0.00033909 [b_2]: 1.601e-05 [updatestate_depend_eliminate]: 1.301e-05 [updatestate_assign_eliminate]: 8.99e-06 [updatestate_loads_eliminate]: 1.205e-05 [renormalize]: 6.39993e-07 [cse]: 5.617e-05 [optimize_parallel_all_gather_comm]: 3.071e-05 [overlap_param_gather]: 5.47001e-06 [cconv]: 3.55e-05 [loop_unroll]: 0.00049121 [opt_after_cconv]: 0.00022731, [1] [Cycle 1]: 0.00022024, [7] [c_1]: 0.0001009 [parameter_eliminate]: 4.03999e-06 [updatestate_depend_eliminate]: 1.347e-05 [updatestate_assign_eliminate]: 8.47e-06 [updatestate_loads_eliminate]: 1.015e-05 [cse]: 4.656e-05 [renormalize]: 3.60014e-07 [remove_dup_value]: 5.83e-05 [tuple_transform]: 0.00014466, [1] [Cycle 1]: 0.00013987, [4] [d_1]: 0.0001016 [none_parameter_eliminate]: 1.97001e-06 [renormalize]: 2.00002e-07 [switch_simplify]: 1.496e-05 [partial_unused_args_eliminate]: 1.87999e-06 [add_recomputation]: 0.00013864 [cse_after_recomputation]: 5.331e-05, [1] [Cycle 1]: 4.774e-05, [1] [cse]: 4.117e-05 [environ_conv]: 1.534e-05 [swap_dp_allreduce_reducescatter]: 1.257e-05 [bias_add_comm_swap]: 2.61e-06 [label_micro_interleaved_index]: 5.52001e-06 [label_fine_grained_interleaved_index]: 2.64999e-06 [merge_cast_opt]: 1.31002e-06 [slice_recompute_activation]: 2.06e-06 [micro_interleaved_order_control]: 2.36e-06 [assign_add_opt]: 1.19e-06 [ForceFp32Comm]: 8.80013e-07 [remove_cast_before_assign_add]: 1.15999e-06 [full_micro_interleaved_order_control]: 2.56e-06 [reorder_send_recv_between_fp_bp]: 2.39001e-06 [comm_op_add_attrs]: 1.26002e-06 [add_comm_op_reuse_tag]: 1.11002e-06 [interleave_split_concat_branches]: 1.25001e-06 [interleave_parallel_branches]: 1.04e-06 [overlap_opt_shard_in_pipeline]: 3.763e-05 [overlap_opt_shard_grad_in_pipeline]: 1.90001e-06 [control_data_broadcast_order]: 2.876e-05 [grouped_pairwise_exchange_alltoall]: 1.55001e-06 [offloading_packed_experts]: 7.15e-06 [overlap_recompute_and_grad_model_parallel]: 8.25e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.27e-06 [overlap_recompute_allgather_and_fa_grad]: 1.69e-06 [overlap_recompute_comm]: 2.36998e-06 [overlap_grad_ring_attention]: 6.63e-06 [overlap_grad_flash_sp]: 4.255e-05 [begin_end_overlap_inline]: 5.3001e-07 [split_matmul_comm_elemetwise]: 2.37999e-06 [split_layernorm_comm]: 1.59998e-06 [handle_group_info]: 1.05999e-06 [symbol_engine_optimizer]: 0.00014293, [1] [Cycle 1]: 0.00013818, [6] [build]: 1.461e-05 [elim_shapecalc]: 2.256e-05 [elim_not_effective]: 2.849e-05 [opt_reshape]: 1.569e-05 [fold_const_symbol]: 2.447e-05 [renormalize]: 3.20026e-07 [detach_backward]: 2.85998e-06 [pipeline_parallel_scheduler]: 1.57001e-06 [auto_monad_reorder]: 8.89e-05 [get_jit_bprop_graph]: 1.79e-06 [rewriter_after_jit_bprop_graph]: 6.84999e-06 [opt_after_jit_grad]: 0.00056368 [validate]: 7.248e-05 Sums bootstrap : 0.000775s : 0.49% type_inference : 0.129641s : 81.14% event_method : 0.000733s : 0.46% auto_monad : 0.000469s : 0.29% graph_reusing : 0.000011s : 0.01% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000054s : 0.03% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000012s : 0.01% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000069s : 0.04% 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 : 0.000064s : 0.04% optimize.rewriter_before_opt_a : 0.000168s : 0.11% optimize.opt_a.expand_dump_flag : 0.000010s : 0.01% optimize.opt_a.switch_simplify : 0.000244s : 0.15% optimize.opt_a.loop_unroll : 0.000078s : 0.05% optimize.opt_a.a_1 : 0.002395s : 1.50% optimize.opt_a.with_stream_mark : 0.000066s : 0.04% optimize.opt_a.recompute_prepare : 0.000045s : 0.03% optimize.opt_a.updatestate_depend_eliminate : 0.000095s : 0.06% optimize.opt_a.updatestate_assign_eliminate : 0.000021s : 0.01% optimize.opt_a.updatestate_loads_eliminate : 0.000080s : 0.05% optimize.opt_a.parameter_eliminate : 0.000005s : 0.00% optimize.opt_a.a_2 : 0.000452s : 0.28% optimize.opt_a.accelerated_algorithm : 0.000068s : 0.04% optimize.opt_a.shard : 0.000005s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000015s : 0.01% optimize.opt_a.shard_inline : 0.000032s : 0.02% optimize.opt_a.merge_send_recv : 0.000032s : 0.02% optimize.opt_a.auto_parallel : 0.000032s : 0.02% optimize.opt_a.parallel : 0.000131s : 0.08% optimize.opt_a.flash_sp : 0.000028s : 0.02% optimize.opt_a.merge_comm : 0.000021s : 0.01% optimize.opt_a.allreduce_fusion : 0.000018s : 0.01% optimize.opt_a.matmul_add_comm_reduction : 0.000038s : 0.02% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000041s : 0.03% optimize.opt_a.virtual_dataset : 0.000031s : 0.02% optimize.opt_a.get_grad_eliminate_ : 0.000029s : 0.02% optimize.opt_a.virtual_output : 0.000029s : 0.02% optimize.opt_a.merge_forward : 0.000020s : 0.01% optimize.opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% optimize.opt_a.offload_activation : 0.000040s : 0.02% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000212s : 0.13% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000055s : 0.03% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000023s : 0.01% optimize.opt_a.meta_fg_expand : 0.000018s : 0.01% optimize.opt_a.flash_sp_send_recv_attached : 0.000007s : 0.00% optimize.opt_a.receive_attached : 0.000005s : 0.00% optimize.opt_a.after_resolve : 0.000048s : 0.03% optimize.opt_a.a_after_grad : 0.000049s : 0.03% optimize.opt_a.renormalize : 0.018924s : 11.84% optimize.opt_a.add_forward_monad_depend : 0.000016s : 0.01% optimize.opt_a.auto_monad_grad : 0.000005s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000104s : 0.06% optimize.opt_a.cse : 0.000302s : 0.19% optimize.opt_a.a_3 : 0.000226s : 0.14% optimize.py_interpret_to_execute_after_opt_a : 0.000027s : 0.02% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000198s : 0.12% optimize.convert_after_rewriter : 0.000015s : 0.01% optimize.order_py_execute_after_rewriter : 0.000011s : 0.01% optimize.mutable_eliminate : 0.000806s : 0.50% optimize.opt_b.b_1 : 0.000339s : 0.21% optimize.opt_b.b_2 : 0.000016s : 0.01% optimize.opt_b.updatestate_depend_eliminate : 0.000013s : 0.01% optimize.opt_b.updatestate_assign_eliminate : 0.000009s : 0.01% optimize.opt_b.updatestate_loads_eliminate : 0.000012s : 0.01% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000056s : 0.04% optimize.optimize_parallel_all_gather_comm : 0.000031s : 0.02% optimize.overlap_param_gather : 0.000005s : 0.00% optimize.cconv : 0.000035s : 0.02% optimize.loop_unroll : 0.000491s : 0.31% optimize.opt_after_cconv.c_1 : 0.000101s : 0.06% optimize.opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000013s : 0.01% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000008s : 0.01% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000010s : 0.01% optimize.opt_after_cconv.cse : 0.000047s : 0.03% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.000058s : 0.04% optimize.tuple_transform.d_1 : 0.000102s : 0.06% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 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 : 0.000139s : 0.09% optimize.cse_after_recomputation.cse : 0.000041s : 0.03% optimize.environ_conv : 0.000015s : 0.01% optimize.swap_dp_allreduce_reducescatter : 0.000013s : 0.01% optimize.bias_add_comm_swap : 0.000003s : 0.00% optimize.label_micro_interleaved_index : 0.000006s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000001s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000002s : 0.00% optimize.assign_add_opt : 0.000001s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000001s : 0.00% optimize.full_micro_interleaved_order_control : 0.000003s : 0.00% optimize.reorder_send_recv_between_fp_bp : 0.000002s : 0.00% optimize.comm_op_add_attrs : 0.000001s : 0.00% optimize.add_comm_op_reuse_tag : 0.000001s : 0.00% optimize.interleave_split_concat_branches : 0.000001s : 0.00% optimize.interleave_parallel_branches : 0.000001s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000038s : 0.02% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000029s : 0.02% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000007s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000008s : 0.01% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000001s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000002s : 0.00% optimize.overlap_recompute_comm : 0.000002s : 0.00% optimize.overlap_grad_ring_attention : 0.000007s : 0.00% optimize.overlap_grad_flash_sp : 0.000043s : 0.03% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000002s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000015s : 0.01% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000023s : 0.01% optimize.symbol_engine_optimizer.elim_not_effective : 0.000028s : 0.02% optimize.symbol_engine_optimizer.opt_reshape : 0.000016s : 0.01% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000024s : 0.02% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000003s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000089s : 0.06% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000564s : 0.35% validate : 0.000072s : 0.05% Time group info: ------[substitution.] 0.000647 165 1.69% : 0.000011s : 2: substitution.depend_value_elim 0.58% : 0.000004s : 9: substitution.elim_not_effective 0.57% : 0.000004s : 9: substitution.fold_const_symbol 1.67% : 0.000011s : 12: substitution.graph_param_transform 63.67% : 0.000412s : 11: substitution.inline 1.42% : 0.000009s : 18: substitution.j_node_and_user_rematch 3.91% : 0.000025s : 4: substitution.less_batch_normalization 1.31% : 0.000008s : 12: substitution.load_eliminater 2.37% : 0.000015s : 18: substitution.remove_not_recompute_node 1.46% : 0.000009s : 6: substitution.replace_old_param 1.96% : 0.000013s : 2: substitution.switch_simplify 5.06% : 0.000033s : 30: substitution.updatestate_pure_node_eliminater 14.34% : 0.000093s : 32: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.129509 2 97.45% : 0.126206s : 1: type_inference.infer 2.55% : 0.003303s : 1: type_inference.specialize ------[replace.] 0.000162 13 59.41% : 0.000096s : 11: replace.inline 40.59% : 0.000066s : 2: replace.switch_simplify ------[match.] 0.000417 13 97.27% : 0.000405s : 11: match.inline 2.73% : 0.000011s : 2: match.switch_simplify ------[predicate.] 0.000630 4059 1.11% : 0.000007s : 49: predicate.accumulaten_eliminater 0.56% : 0.000004s : 12: predicate.ad_related_special_op_eliminate 0.51% : 0.000003s : 24: predicate.addn_check_dump 1.13% : 0.000007s : 49: predicate.addn_zero_filter 1.03% : 0.000006s : 49: predicate.adjust_all_reduce_mul_add 2.33% : 0.000015s : 73: predicate.arithmetic_simplify 1.23% : 0.000008s : 49: predicate.cast_eliminate 0.58% : 0.000004s : 24: predicate.check_bprop_eliminate 0.52% : 0.000003s : 24: predicate.compare_switch_simplify 0.15% : 0.000001s : 12: predicate.const_output_eliminate 0.56% : 0.000004s : 24: predicate.depend_value_elim 1.20% : 0.000008s : 49: predicate.dict_get_item_const_eliminator 1.26% : 0.000008s : 49: predicate.dict_get_item_eliminator 1.09% : 0.000007s : 49: predicate.dict_set_item_eliminator 0.70% : 0.000004s : 24: predicate.dumpgradient_eliminate 0.16% : 0.000001s : 12: predicate.elim_not_effective 0.30% : 0.000002s : 12: predicate.elim_shapecalc_of_broadcastargs 1.32% : 0.000008s : 61: predicate.environ_add_const_eliminate 1.29% : 0.000008s : 61: predicate.environ_get_add_eliminate 1.30% : 0.000008s : 61: predicate.environ_get_depend_swap 1.95% : 0.000012s : 85: predicate.environ_get_eliminate 1.28% : 0.000008s : 61: predicate.environ_get_set_eliminate 1.35% : 0.000008s : 60: predicate.exchange_switch_depend_value 2.02% : 0.000013s : 60: predicate.float_depend_g_call 0.51% : 0.000003s : 24: predicate.float_environ_get_switch 0.82% : 0.000005s : 36: predicate.float_tuple_getitem_switch 0.15% : 0.000001s : 12: predicate.fold_const_symbol 0.66% : 0.000004s : 24: predicate.get_grad_eliminate 0.16% : 0.000001s : 12: predicate.graph_param_transform 0.52% : 0.000003s : 24: predicate.incorporate_call 0.50% : 0.000003s : 24: predicate.incorporate_call_switch 5.62% : 0.000035s : 181: predicate.inline 0.77% : 0.000005s : 24: predicate.inline_without_move 0.31% : 0.000002s : 24: predicate.j_node_and_user_rematch 0.98% : 0.000006s : 24: predicate.less_batch_normalization 1.74% : 0.000011s : 73: predicate.list_to_tuple_eliminator_ 2.70% : 0.000017s : 122: predicate.load_eliminater 0.64% : 0.000004s : 12: predicate.loop_unroll_after_grad 1.76% : 0.000011s : 78: predicate.loop_unroll_before_grad 1.67% : 0.000010s : 73: predicate.make_slice_get_slice_eliminator 0.58% : 0.000004s : 24: predicate.merge_addn 0.51% : 0.000003s : 24: predicate.micro_step_allgather_replace 0.54% : 0.000003s : 24: predicate.mini_step_allgather_replace 1.07% : 0.000007s : 49: predicate.minmaximum_grad 0.68% : 0.000004s : 12: predicate.mutable_eliminate 0.40% : 0.000003s : 12: predicate.opt_reshape 0.38% : 0.000002s : 12: predicate.parallel_virtual_node 1.91% : 0.000012s : 60: predicate.partial_defer_inline 1.50% : 0.000009s : 61: predicate.partial_eliminate 1.13% : 0.000007s : 49: predicate.print_const_string_wrapper 0.57% : 0.000004s : 24: predicate.reduce_all_const_elim 1.44% : 0.000009s : 49: predicate.reduce_eliminate 2.68% : 0.000017s : 122: predicate.redundant_stop_gradient_eliminater 0.40% : 0.000003s : 24: predicate.remove_not_recompute_node 1.18% : 0.000007s : 73: predicate.replace_applicator 0.49% : 0.000003s : 24: predicate.replace_old_param 0.18% : 0.000001s : 12: predicate.reset_defer_inline 1.19% : 0.000008s : 49: predicate.reshape_eliminate 0.60% : 0.000004s : 24: predicate.row_tensor_add_zeros_like 0.31% : 0.000002s : 12: predicate.row_tensor_eliminate 0.81% : 0.000005s : 24: predicate.same_eliminate 0.46% : 0.000003s : 32: predicate.set_cell_output_no_recompute 0.73% : 0.000005s : 24: predicate.shard_identity_eliminate 0.62% : 0.000004s : 24: predicate.special_op_eliminate 0.63% : 0.000004s : 24: predicate.specialize_transform 0.77% : 0.000005s : 24: predicate.split_environ_get_set_with_tuple_value 0.74% : 0.000005s : 24: predicate.stack_unstack_eliminate 0.31% : 0.000002s : 12: predicate.switch_call_monad_eliminater 1.45% : 0.000009s : 60: predicate.switch_defer_inline 2.08% : 0.000013s : 84: predicate.switch_layer_defer_inline 4.56% : 0.000029s : 178: predicate.switch_simplify 1.10% : 0.000007s : 49: predicate.tile_eliminate 1.13% : 0.000007s : 49: predicate.transpose_eliminate 1.78% : 0.000011s : 73: predicate.tuple_list_convert_item_index_to_positive 1.88% : 0.000012s : 73: predicate.tuple_list_get_item_const_eliminator 1.69% : 0.000011s : 73: predicate.tuple_list_get_item_depend_reorder 2.84% : 0.000018s : 97: predicate.tuple_list_get_item_eliminator 1.78% : 0.000011s : 73: predicate.tuple_list_get_set_item_eliminator 2.32% : 0.000015s : 97: predicate.tuple_list_set_item_eliminator 1.66% : 0.000010s : 73: predicate.tuple_to_list_eliminator_ 2.81% : 0.000018s : 122: predicate.updatestate_pure_node_eliminater 3.58% : 0.000023s : 146: predicate.updatestate_useless_node_eliminater 0.30% : 0.000002s : 12: predicate.value_based_eliminate 0.65% : 0.000004s : 24: predicate.virtual_dataset_eliminate 0.58% : 0.000004s : 24: predicate.virtual_output_eliminate 0.26% : 0.000002s : 12: predicate.virtual_view_grad_eliminate 0.33% : 0.000002s : 12: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.021772 18 94.94% : 0.020669s : 5: func_graph_cloner_run.FuncGraphClonerGraph 5.06% : 0.001102s : 13: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.222686 192 0.00% : 0.000004s : 1: ForceFp32Comm 2.24% : 0.004985s : 1: add_attr 2.22% : 0.004940s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.06% : 0.000144s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.22% : 0.000489s : 1: auto_monad 0.04% : 0.000094s : 1: auto_monad_reorder 0.00% : 0.000003s : 1: begin_end_overlap_inline 0.00% : 0.000005s : 1: bias_add_comm_swap 0.36% : 0.000810s : 1: bootstrap 0.02% : 0.000039s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.01% : 0.000032s : 1: control_data_broadcast_order 0.01% : 0.000019s : 1: convert_after_rewriter 0.03% : 0.000056s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.01% : 0.000020s : 1: environ_conv 0.34% : 0.000760s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000017s : 1: graph_reusing 0.00% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000007s : 1: inline 0.00% : 0.000006s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000009s : 1: label_micro_interleaved_index 0.22% : 0.000500s : 1: loop_unroll 0.00% : 0.000004s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.37% : 0.000816s : 1: mutable_eliminate 0.00% : 0.000010s : 1: offloading_packed_experts 0.01% : 0.000027s : 1: opt.transform.loop_unroll_optimizer 0.01% : 0.000030s : 1: opt.transform.mutable_eliminate 1.76% : 0.003910s : 78: opt.transform.opt_a 0.04% : 0.000099s : 1: opt.transform.opt_after_cconv 0.02% : 0.000054s : 1: opt.transform.opt_after_jit_grad 0.14% : 0.000322s : 28: opt.transform.opt_b 0.05% : 0.000114s : 2: opt.transform.opt_trans_graph 0.04% : 0.000087s : 4: opt.transform.symbol_engine_opt 11.12% : 0.024772s : 1: opt_a 0.10% : 0.000231s : 1: opt_after_cconv 0.26% : 0.000575s : 1: opt_after_jit_grad 0.22% : 0.000498s : 1: opt_b 12.74% : 0.028371s : 1: optimize 0.02% : 0.000035s : 1: optimize_parallel_all_gather_comm 0.01% : 0.000014s : 1: order_py_execute_after_rewriter 0.02% : 0.000046s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000011s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.02% : 0.000042s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000009s : 1: overlap_param_gather 0.00% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.01% : 0.000011s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000005s : 1: overlap_recompute_comm 0.00% : 0.000008s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pipeline_parallel_scheduler 0.00% : 0.000004s : 1: pipeline_split 0.03% : 0.000075s : 1: pre_auto_parallel 0.03% : 0.000071s : 1: py_interpret_to_execute 0.01% : 0.000031s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.03% : 0.000063s : 1: remove_dup_value 7.91% : 0.017608s : 1: renormalize.infer 0.58% : 0.001299s : 1: renormalize.specialize 0.00% : 0.000005s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.09% : 0.000205s : 1: rewriter_after_opt_a 0.08% : 0.000175s : 1: rewriter_before_opt_a 0.00% : 0.000005s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000005s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.01% : 0.000016s : 1: swap_dp_allreduce_reducescatter 0.07% : 0.000147s : 1: symbol_engine_optimizer 0.07% : 0.000148s : 1: tuple_transform 58.23% : 0.129677s : 1: type_inference [WARNING] ME(169177:281472870252336,MainProcess):2026-01-29-17:44:36.806.192 [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(169177,ffff8271ff30,python3.9):2026-01-29-17:44:38.043.376 [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_70:_{[0]: ValueNode 359__tuple_getitem_by_number_71, [1]: CNode_72, [2]: ValueNode 1} TotalTime = 1.55251, [30] [bootstrap]: 0.00029473 [type_inference]: 1.23464 [event_method]: 0.00037435 [auto_monad]: 0.00220745 [graph_reusing]: 0.00013913 [pre_auto_parallel]: 2.321e-05 [py_interpret_to_execute]: 0.00061458 [rewriter_before_opt_a]: 0.00477205 [expand_dump_flag]: 6.672e-05 [jit_opt_a]: 0.288529, [4] [Cycle 1]: 0.200615, [27] [switch_simplify]: 0.00171767 [loop_unroll]: 0.0007248 [a_1]: 0.0213767 [with_stream_mark]: 0.00027165 [recompute_prepare]: 0.00013956 [updatestate_depend_eliminate]: 0.00059976 [updatestate_assign_eliminate]: 6.583e-05 [updatestate_loads_eliminate]: 0.0001442 [parameter_eliminate]: 6.09001e-06 [specialize_transform]: 8.52e-05 [updatestate_useless_node_eliminater]: 0.00010343 [accelerated_algorithm]: 0.00016435 [meta_shard_fg_expand]: 5.17e-05 [get_grad_eliminate_]: 0.0159094 [merge_forward]: 6.923e-05 [cell_reuse_recompute_pass]: 4.73001e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00014764 [j_node_and_user_rematch]: 0.00011747 [meta_fg_expand]: 0.0175232 [replace_old_param]: 0.00040305 [inline_without_move]: 0.00039202 [renormalize]: 0.137636 [add_forward_monad_depend]: 6.791e-05 [auto_monad_grad]: 3.875e-05 [auto_monad_eliminator]: 0.00053169 [cse]: 0.00105554 [replace_applicator]: 0.00065187 [Cycle 2]: 0.0482571, [27] [switch_simplify]: 0.00032327 [loop_unroll]: 0.00030725 [a_1]: 0.0225947 [with_stream_mark]: 0.00017586 [recompute_prepare]: 7.203e-05 [updatestate_depend_eliminate]: 7.887e-05 [updatestate_assign_eliminate]: 3.749e-05 [updatestate_loads_eliminate]: 0.00011194 [parameter_eliminate]: 3.05002e-06 [specialize_transform]: 5.83e-05 [updatestate_useless_node_eliminater]: 7.648e-05 [accelerated_algorithm]: 6.159e-05 [meta_shard_fg_expand]: 2.146e-05 [get_grad_eliminate_]: 4.96e-05 [merge_forward]: 3.007e-05 [cell_reuse_recompute_pass]: 1.94e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.342e-05 [j_node_and_user_rematch]: 8.246e-05 [meta_fg_expand]: 0.00094083 [replace_old_param]: 8.967e-05 [inline_without_move]: 5.094e-05 [renormalize]: 0.0220913 [add_forward_monad_depend]: 1.592e-05 [auto_monad_grad]: 3.73999e-06 [auto_monad_eliminator]: 0.00022112 [cse]: 0.00022654 [replace_applicator]: 8.141e-05 [Cycle 3]: 0.00701184, [27] [switch_simplify]: 4.837e-05 [loop_unroll]: 4.557e-05 [a_1]: 0.00155953 [with_stream_mark]: 6.215e-05 [recompute_prepare]: 5.35e-05 [updatestate_depend_eliminate]: 3.422e-05 [updatestate_assign_eliminate]: 3.159e-05 [updatestate_loads_eliminate]: 3.44e-05 [parameter_eliminate]: 3.09001e-06 [specialize_transform]: 4.852e-05 [updatestate_useless_node_eliminater]: 6.848e-05 [accelerated_algorithm]: 5.724e-05 [meta_shard_fg_expand]: 1.935e-05 [get_grad_eliminate_]: 4.511e-05 [merge_forward]: 2.927e-05 [cell_reuse_recompute_pass]: 3.67998e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.95e-05 [j_node_and_user_rematch]: 7.893e-05 [meta_fg_expand]: 2.033e-05 [replace_old_param]: 6.382e-05 [inline_without_move]: 4.684e-05 [renormalize]: 0.00385007 [add_forward_monad_depend]: 1.308e-05 [auto_monad_grad]: 3.43999e-06 [auto_monad_eliminator]: 0.00014414 [cse]: 0.00020936 [replace_applicator]: 7.5e-05 [Cycle 4]: 0.00286166, [27] [switch_simplify]: 4.65e-05 [loop_unroll]: 4.386e-05 [a_1]: 0.0014349 [with_stream_mark]: 0.00010087 [recompute_prepare]: 5.802e-05 [updatestate_depend_eliminate]: 3.535e-05 [updatestate_assign_eliminate]: 3.27e-05 [updatestate_loads_eliminate]: 3.148e-05 [parameter_eliminate]: 2.98e-06 [specialize_transform]: 4.709e-05 [updatestate_useless_node_eliminater]: 7.552e-05 [accelerated_algorithm]: 5.736e-05 [meta_shard_fg_expand]: 1.795e-05 [get_grad_eliminate_]: 4.416e-05 [merge_forward]: 2.828e-05 [cell_reuse_recompute_pass]: 4.17e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.674e-05 [j_node_and_user_rematch]: 7.498e-05 [meta_fg_expand]: 1.978e-05 [replace_old_param]: 5.852e-05 [inline_without_move]: 4.331e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 4.1e-06 [auto_monad_grad]: 3.4e-06 [auto_monad_eliminator]: 0.00010565 [cse]: 0.00016242 [replace_applicator]: 4.912e-05 [py_interpret_to_execute_after_opt_a]: 6.17e-05 [rewriter_after_opt_a]: 0.00044971 [convert_after_rewriter]: 4.165e-05 [order_py_execute_after_rewriter]: 2.563e-05 [mutable_eliminate]: 0.015357 [jit_opt_b]: 0.00029765, [1] [Cycle 1]: 0.00028548, [2] [frontend_op_eliminate]: 0.00014569 [inline_after_opt_a]: 0.00012293 [cconv]: 5.909e-05 [loop_unroll]: 0.00075796 [jit_opt_after_cconv]: 0.00090313, [1] [Cycle 1]: 0.0008925, [11] [c_1]: 0.00029706 [parameter_eliminate]: 7.29001e-06 [updatestate_depend_eliminate]: 4.996e-05 [updatestate_assign_eliminate]: 3.437e-05 [updatestate_loads_eliminate]: 3.284e-05 [cse]: 0.00019031 [call_graph_tuple_transform]: 0.00011896 [tuple_list_get_item_eliminator]: 4.471e-05 [none_parameter_eliminate]: 3.28e-06 [renormalize]: 1.00001e-06 [switch_simplify]: 4.404e-05 [remove_dup_value]: 0.00017114 [partial_unused_args_eliminate]: 3.25e-06 [environ_conv]: 4.241e-05 [add_recomputation]: 0.0002889 [cse_after_recomputation]: 0.00016041, [1] [Cycle 1]: 0.00015018, [1] [cse]: 0.00013564 [auto_monad_reorder]: 0.00013367 [get_jit_bprop_graph]: 2.51998e-06 [rewriter_after_jit_bprop_graph]: 9.53002e-06 [opt_after_jit_grad]: 0.00099766 [symbol_engine_optimizer]: 0.00036153, [1] [Cycle 1]: 0.00035135, [6] [build]: 4.07e-05 [elim_shapecalc]: 5.355e-05 [elim_not_effective]: 9.01e-05 [opt_reshape]: 4.935e-05 [fold_const_symbol]: 7.578e-05 [renormalize]: 8.2e-07 [validate]: 0.0001926 Sums bootstrap : 0.000295s : 0.02% type_inference : 1.234640s : 81.20% event_method : 0.000374s : 0.02% auto_monad : 0.002207s : 0.15% graph_reusing : 0.000139s : 0.01% pre_auto_parallel : 0.000023s : 0.00% py_interpret_to_execute : 0.000615s : 0.04% rewriter_before_opt_a : 0.004772s : 0.31% expand_dump_flag : 0.000067s : 0.00% jit_opt_a.switch_simplify : 0.002136s : 0.14% jit_opt_a.loop_unroll : 0.001121s : 0.07% jit_opt_a.a_1 : 0.046966s : 3.09% jit_opt_a.with_stream_mark : 0.000611s : 0.04% jit_opt_a.recompute_prepare : 0.000323s : 0.02% jit_opt_a.updatestate_depend_eliminate : 0.000748s : 0.05% jit_opt_a.updatestate_assign_eliminate : 0.000168s : 0.01% jit_opt_a.updatestate_loads_eliminate : 0.000322s : 0.02% jit_opt_a.parameter_eliminate : 0.000015s : 0.00% jit_opt_a.specialize_transform : 0.000239s : 0.02% jit_opt_a.updatestate_useless_node_eliminater : 0.000324s : 0.02% jit_opt_a.accelerated_algorithm : 0.000341s : 0.02% jit_opt_a.meta_shard_fg_expand : 0.000110s : 0.01% jit_opt_a.get_grad_eliminate_ : 0.016048s : 1.06% jit_opt_a.merge_forward : 0.000157s : 0.01% jit_opt_a.cell_reuse_recompute_pass : 0.000015s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000417s : 0.03% jit_opt_a.j_node_and_user_rematch : 0.000354s : 0.02% jit_opt_a.meta_fg_expand : 0.018504s : 1.22% jit_opt_a.replace_old_param : 0.000615s : 0.04% jit_opt_a.inline_without_move : 0.000533s : 0.04% jit_opt_a.renormalize : 0.163578s : 10.76% jit_opt_a.add_forward_monad_depend : 0.000101s : 0.01% jit_opt_a.auto_monad_grad : 0.000049s : 0.00% jit_opt_a.auto_monad_eliminator : 0.001003s : 0.07% jit_opt_a.cse : 0.001654s : 0.11% jit_opt_a.replace_applicator : 0.000857s : 0.06% py_interpret_to_execute_after_opt_a : 0.000062s : 0.00% rewriter_after_opt_a : 0.000450s : 0.03% convert_after_rewriter : 0.000042s : 0.00% order_py_execute_after_rewriter : 0.000026s : 0.00% mutable_eliminate : 0.015357s : 1.01% jit_opt_b.frontend_op_eliminate : 0.000146s : 0.01% jit_opt_b.inline_after_opt_a : 0.000123s : 0.01% cconv : 0.000059s : 0.00% loop_unroll : 0.000758s : 0.05% jit_opt_after_cconv.c_1 : 0.000297s : 0.02% jit_opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000050s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000034s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000033s : 0.00% jit_opt_after_cconv.cse : 0.000190s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000119s : 0.01% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000045s : 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 : 0.000171s : 0.01% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000042s : 0.00% add_recomputation : 0.000289s : 0.02% cse_after_recomputation.cse : 0.000136s : 0.01% auto_monad_reorder : 0.000134s : 0.01% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000010s : 0.00% opt_after_jit_grad : 0.000998s : 0.07% symbol_engine_optimizer.build : 0.000041s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000054s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000090s : 0.01% symbol_engine_optimizer.opt_reshape : 0.000049s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000076s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000193s : 0.01% Time group info: ------[substitution.] 0.024965 1520 0.42% : 0.000104s : 5: substitution.arithmetic_simplify 0.14% : 0.000034s : 3: substitution.cast_eliminate 0.62% : 0.000154s : 50: substitution.depend_value_elim 0.04% : 0.000011s : 32: substitution.elim_not_effective 0.05% : 0.000012s : 4: substitution.environ_get_add_eliminate 0.02% : 0.000005s : 2: substitution.environ_get_depend_swap 0.04% : 0.000011s : 4: substitution.environ_get_eliminate 0.11% : 0.000026s : 4: substitution.environ_get_set_eliminate 0.04% : 0.000011s : 32: substitution.fold_const_symbol 7.81% : 0.001949s : 8: substitution.getattr_setattr_resolve 0.12% : 0.000029s : 44: substitution.graph_param_transform 30.79% : 0.007686s : 170: substitution.inline 0.41% : 0.000101s : 12: substitution.inline_without_move 0.23% : 0.000059s : 147: substitution.j_node_and_user_rematch 0.28% : 0.000070s : 17: substitution.less_batch_normalization 0.13% : 0.000032s : 1: substitution.list_to_tuple_eliminator_ 0.13% : 0.000033s : 30: substitution.load_eliminater 0.41% : 0.000103s : 66: substitution.minmaximum_grad 0.00% : 0.000001s : 1: substitution.opt_reshape 0.21% : 0.000054s : 12: substitution.partial_eliminate 0.13% : 0.000033s : 6: substitution.reduce_eliminate 0.03% : 0.000007s : 4: substitution.redundant_stop_gradient_eliminater 0.35% : 0.000087s : 147: substitution.remove_not_recompute_node 0.75% : 0.000188s : 55: substitution.replace_applicator 0.23% : 0.000056s : 76: substitution.replace_old_param 0.43% : 0.000106s : 14: substitution.reshape_eliminate 0.03% : 0.000008s : 1: substitution.set_cell_output_no_recompute 0.02% : 0.000004s : 3: substitution.split_environ_get_set_with_tuple_value 0.40% : 0.000100s : 33: substitution.switch_simplify 0.02% : 0.000006s : 1: substitution.tile_eliminate 49.73% : 0.012416s : 76: substitution.tuple_list_convert_item_index_to_positive 1.19% : 0.000297s : 83: substitution.tuple_list_get_item_depend_reorder 2.66% : 0.000665s : 160: substitution.tuple_list_get_item_eliminator 0.64% : 0.000160s : 97: substitution.updatestate_pure_node_eliminater 1.39% : 0.000348s : 120: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.233832 2 93.34% : 1.151708s : 1: type_inference.infer 6.66% : 0.082125s : 1: type_inference.specialize ------[replace.] 0.004092 312 0.33% : 0.000013s : 1: replace.arithmetic_simplify 0.68% : 0.000028s : 3: replace.cast_eliminate 1.21% : 0.000049s : 5: replace.depend_value_elim 0.94% : 0.000039s : 2: replace.environ_get_set_eliminate 3.55% : 0.000145s : 6: replace.getattr_setattr_resolve 47.88% : 0.001959s : 170: replace.inline 0.50% : 0.000020s : 1: replace.list_to_tuple_eliminator_ 1.28% : 0.000052s : 2: replace.partial_eliminate 2.21% : 0.000090s : 3: replace.replace_applicator 0.19% : 0.000008s : 1: replace.reshape_eliminate 13.08% : 0.000535s : 33: replace.switch_simplify 3.19% : 0.000131s : 7: replace.tuple_list_get_item_depend_reorder 24.36% : 0.000997s : 77: replace.tuple_list_get_item_eliminator 0.60% : 0.000025s : 1: replace.updatestate_useless_node_eliminater ------[match.] 0.010036 312 0.54% : 0.000054s : 1: match.arithmetic_simplify 0.31% : 0.000031s : 3: match.cast_eliminate 0.08% : 0.000008s : 5: match.depend_value_elim 0.21% : 0.000022s : 2: match.environ_get_set_eliminate 18.05% : 0.001812s : 6: match.getattr_setattr_resolve 75.30% : 0.007557s : 170: match.inline 0.30% : 0.000031s : 1: match.list_to_tuple_eliminator_ 0.29% : 0.000029s : 2: match.partial_eliminate 0.32% : 0.000033s : 3: match.replace_applicator 0.03% : 0.000003s : 1: match.reshape_eliminate 0.85% : 0.000085s : 33: match.switch_simplify 1.19% : 0.000119s : 7: match.tuple_list_get_item_depend_reorder 2.34% : 0.000235s : 77: match.tuple_list_get_item_eliminator 0.17% : 0.000017s : 1: match.updatestate_useless_node_eliminater ------[predicate.] 0.005765 33426 1.36% : 0.000078s : 570: predicate.accumulaten_eliminater 0.29% : 0.000017s : 44: predicate.ad_related_special_op_eliminate 1.29% : 0.000074s : 570: predicate.addn_check_dump 1.54% : 0.000089s : 570: predicate.addn_zero_filter 2.28% : 0.000131s : 571: predicate.arithmetic_simplify 1.38% : 0.000080s : 575: predicate.cast_eliminate 0.11% : 0.000006s : 44: predicate.check_bprop_eliminate 1.38% : 0.000080s : 570: predicate.compare_switch_simplify 1.60% : 0.000092s : 570: predicate.depend_value_elim 1.28% : 0.000074s : 577: predicate.dict_get_item_const_eliminator 1.38% : 0.000079s : 577: predicate.dict_get_item_eliminator 1.30% : 0.000075s : 577: predicate.dict_set_item_eliminator 0.15% : 0.000009s : 44: predicate.dumpgradient_eliminate 0.07% : 0.000004s : 44: predicate.elim_not_effective 0.12% : 0.000007s : 44: predicate.elim_shapecalc_of_broadcastargs 1.28% : 0.000074s : 575: predicate.environ_add_const_eliminate 1.30% : 0.000075s : 577: predicate.environ_get_add_eliminate 1.30% : 0.000075s : 575: predicate.environ_get_depend_swap 1.41% : 0.000081s : 577: predicate.environ_get_eliminate 1.32% : 0.000076s : 577: predicate.environ_get_set_eliminate 0.06% : 0.000003s : 44: predicate.fold_const_symbol 0.78% : 0.000045s : 202: predicate.get_grad_eliminate 0.26% : 0.000015s : 40: predicate.getattr_setattr_resolve 0.05% : 0.000003s : 44: predicate.graph_param_transform 3.93% : 0.000227s : 923: predicate.inline 1.30% : 0.000075s : 408: predicate.inline_without_move 0.26% : 0.000015s : 202: predicate.j_node_and_user_rematch 0.67% : 0.000039s : 212: predicate.less_batch_normalization 1.61% : 0.000093s : 662: predicate.list_to_tuple_eliminator_ 1.75% : 0.000101s : 708: predicate.load_eliminater 0.28% : 0.000016s : 44: predicate.loop_unroll_after_grad 3.90% : 0.000225s : 1151: predicate.loop_unroll_before_grad 1.50% : 0.000087s : 628: predicate.make_slice_get_slice_eliminator 1.29% : 0.000074s : 570: predicate.merge_addn 1.38% : 0.000079s : 571: predicate.minmaximum_grad 0.47% : 0.000027s : 44: predicate.mutable_eliminate 0.12% : 0.000007s : 44: predicate.opt_reshape 2.07% : 0.000119s : 708: predicate.partial_eliminate 1.35% : 0.000078s : 565: predicate.print_const_string_wrapper 1.76% : 0.000102s : 571: predicate.reduce_eliminate 1.58% : 0.000091s : 664: predicate.redundant_stop_gradient_eliminater 0.27% : 0.000015s : 202: predicate.remove_not_recompute_node 1.95% : 0.000112s : 1150: predicate.replace_applicator 0.57% : 0.000033s : 408: predicate.replace_old_param 0.07% : 0.000004s : 44: predicate.reset_defer_inline 1.36% : 0.000079s : 572: predicate.reshape_eliminate 1.33% : 0.000077s : 565: predicate.row_tensor_add_zeros_like 0.13% : 0.000008s : 44: predicate.row_tensor_eliminate 1.37% : 0.000079s : 565: predicate.same_eliminate 0.36% : 0.000021s : 244: predicate.set_cell_output_no_recompute 0.24% : 0.000014s : 88: predicate.special_op_eliminate 0.58% : 0.000033s : 202: predicate.specialize_transform 1.54% : 0.000089s : 565: predicate.split_environ_get_set_with_tuple_value 1.91% : 0.000110s : 565: predicate.stack_unstack_eliminate 0.12% : 0.000007s : 44: predicate.switch_call_monad_eliminater 3.76% : 0.000217s : 835: predicate.switch_defer_inline 2.43% : 0.000140s : 835: predicate.switch_layer_defer_inline 6.96% : 0.000401s : 2096: predicate.switch_simplify 1.44% : 0.000083s : 571: predicate.tile_eliminate 1.37% : 0.000079s : 571: predicate.transpose_eliminate 2.06% : 0.000119s : 577: predicate.tuple_list_convert_item_index_to_positive 2.15% : 0.000124s : 584: predicate.tuple_list_get_item_depend_reorder 9.91% : 0.000571s : 749: predicate.tuple_list_get_item_eliminator 1.76% : 0.000102s : 584: predicate.tuple_list_set_item_eliminator 1.67% : 0.000096s : 661: predicate.tuple_to_list_eliminator_ 1.72% : 0.000099s : 708: predicate.updatestate_pure_node_eliminater 2.48% : 0.000143s : 911: predicate.updatestate_useless_node_eliminater 1.77% : 0.000102s : 565: predicate.value_based_eliminate 0.11% : 0.000006s : 44: predicate.virtual_view_grad_eliminate 0.14% : 0.000008s : 44: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.117012 407 48.66% : 0.056934s : 208: func_graph_cloner_run.FuncGraphClonerGraph 51.34% : 0.060078s : 199: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.789322 106 0.02% : 0.000294s : 1: add_recomputation 0.12% : 0.002220s : 1: auto_monad 0.01% : 0.000138s : 1: auto_monad_reorder 0.02% : 0.000313s : 1: bootstrap 0.00% : 0.000062s : 1: cconv 0.00% : 0.000045s : 1: convert_after_rewriter 0.01% : 0.000163s : 1: cse_after_recomputation 0.00% : 0.000045s : 1: environ_conv 0.02% : 0.000384s : 1: event_method 0.00% : 0.000074s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000146s : 1: graph_reusing 16.13% : 0.288533s : 1: jit_opt_a 0.05% : 0.000908s : 1: jit_opt_after_cconv 0.02% : 0.000302s : 1: jit_opt_b 0.04% : 0.000773s : 1: loop_unroll 0.86% : 0.015384s : 1: mutable_eliminate 3.92% : 0.070135s : 52: opt.transform.jit_opt_a 0.03% : 0.000499s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000258s : 4: opt.transform.jit_opt_b 0.00% : 0.000079s : 1: opt.transform.loop_unroll_optimizer 0.01% : 0.000117s : 1: opt.transform.mutable_eliminate 0.01% : 0.000185s : 1: opt.transform.opt_after_jit_grad 0.13% : 0.002238s : 4: opt.transform.opt_resolve 0.01% : 0.000264s : 4: opt.transform.symbol_engine_opt 0.06% : 0.001014s : 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% : 0.000026s : 1: pre_auto_parallel 0.03% : 0.000623s : 1: py_interpret_to_execute 0.00% : 0.000065s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000176s : 1: remove_dup_value 5.35% : 0.095745s : 3: renormalize.infer 3.79% : 0.067772s : 3: renormalize.specialize 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.000457s : 1: rewriter_after_opt_a 0.27% : 0.004805s : 1: rewriter_before_opt_a 0.02% : 0.000365s : 1: symbol_engine_optimizer 69.00% : 1.234664s : 1: type_inference TotalTime = 0.112579, [21] [bootstrap]: 0.00071695 [type_inference]: 0.0920692 [event_method]: 0.00085382 [auto_monad]: 0.0004702 [graph_reusing]: 1.107e-05 [inline]: 3.51999e-06 [add_attr]: 0.0047897, [1] [add_attr_with_inline]: 0.00477156, [1] [Cycle 1]: 0.00013635, [2] [tag_attr]: 6.687e-05 [meta_addattr_fg_expand]: 1.197e-05 [parallel-infer-symbol]: 3.4e-06 [pre_auto_parallel]: 7.567e-05 [insert-virtual-dataset]: 2.98e-06 [parallel-infer-symbol-second]: 1.07e-06 [dataset_repeat_opt]: 2.07001e-06 [pipeline_split]: 1.69e-06 [optimize]: 0.0124468, [53] [py_interpret_to_execute]: 7.256e-05 [rewriter_before_opt_a]: 0.000182 [opt_a]: 0.00849073, [2] [Cycle 1]: 0.00695856, [45] [expand_dump_flag]: 6.98e-06 [switch_simplify]: 0.0001819 [loop_unroll]: 5.894e-05 [a_1]: 0.00208937 [with_stream_mark]: 4.363e-05 [recompute_prepare]: 3.163e-05 [updatestate_depend_eliminate]: 8.719e-05 [updatestate_assign_eliminate]: 1.031e-05 [updatestate_loads_eliminate]: 6.665e-05 [parameter_eliminate]: 2.73e-06 [a_2]: 0.00024027 [accelerated_algorithm]: 4.492e-05 [shard]: 2.36e-06 [meta_shard_fg_expand]: 7.68001e-06 [shard_inline]: 1.646e-05 [merge_send_recv]: 1.609e-05 [auto_parallel]: 1.796e-05 [parallel]: 3.678e-05 [flash_sp]: 1.449e-05 [merge_comm]: 1.13e-05 [allreduce_fusion]: 9.06998e-06 [matmul_add_comm_reduction]: 1.842e-05 [allreduce_slice_to_reducescatter]: 1.15001e-06 [virtual_shard_identity]: 1.903e-05 [virtual_dataset]: 1.596e-05 [get_grad_eliminate_]: 1.444e-05 [virtual_output]: 1.503e-05 [merge_forward]: 9.79999e-06 [cell_reuse_recompute_pass]: 2.96001e-06 [offload_activation]: 2.029e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.425e-05 [merge_recompute_call_nodes]: 1.53002e-06 [before_grad]: 2.66e-05 [set_forward_comm_id_for_comm_node_pass]: 9.86e-06 [meta_fg_expand]: 9.29998e-06 [flash_sp_send_recv_attached]: 6.61999e-06 [receive_attached]: 2.54001e-06 [after_resolve]: 2.856e-05 [a_after_grad]: 2.959e-05 [renormalize]: 0.00287429 [add_forward_monad_depend]: 1.093e-05 [auto_monad_grad]: 2.60002e-06 [auto_monad_eliminator]: 6.041e-05 [cse]: 0.00024897 [a_3]: 0.00012663 [Cycle 2]: 0.00151431, [45] [expand_dump_flag]: 2.71e-06 [switch_simplify]: 1.928e-05 [loop_unroll]: 1.545e-05 [a_1]: 0.0004275 [with_stream_mark]: 2.551e-05 [recompute_prepare]: 1.523e-05 [updatestate_depend_eliminate]: 1.07e-05 [updatestate_assign_eliminate]: 1.066e-05 [updatestate_loads_eliminate]: 1.407e-05 [parameter_eliminate]: 1.82001e-06 [a_2]: 0.00020925 [accelerated_algorithm]: 2.183e-05 [shard]: 2.51e-06 [meta_shard_fg_expand]: 5.37999e-06 [shard_inline]: 1.471e-05 [merge_send_recv]: 1.366e-05 [auto_parallel]: 1.475e-05 [parallel]: 1.015e-05 [flash_sp]: 3.96001e-06 [merge_comm]: 9.22001e-06 [allreduce_fusion]: 8.23001e-06 [matmul_add_comm_reduction]: 1.704e-05 [allreduce_slice_to_reducescatter]: 6.50005e-07 [virtual_shard_identity]: 1.751e-05 [virtual_dataset]: 1.436e-05 [get_grad_eliminate_]: 1.383e-05 [virtual_output]: 1.373e-05 [merge_forward]: 9.41998e-06 [cell_reuse_recompute_pass]: 3.2e-06 [offload_activation]: 1.704e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.802e-05 [merge_recompute_call_nodes]: 2.07999e-06 [before_grad]: 2.441e-05 [set_forward_comm_id_for_comm_node_pass]: 9.42001e-06 [meta_fg_expand]: 7.21999e-06 [flash_sp_send_recv_attached]: 1.66e-06 [receive_attached]: 2.36e-06 [after_resolve]: 2.175e-05 [a_after_grad]: 2.321e-05 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 3.51999e-06 [auto_monad_grad]: 2.68e-06 [auto_monad_eliminator]: 4.164e-05 [cse]: 5.67e-05 [a_3]: 9.731e-05 [py_interpret_to_execute_after_opt_a]: 2.799e-05 [slice_cell_reuse_recomputed_activation]: 2.32001e-06 [rewriter_after_opt_a]: 0.00021503 [convert_after_rewriter]: 1.527e-05 [order_py_execute_after_rewriter]: 1.082e-05 [mutable_eliminate]: 0.00086519 [opt_b]: 0.00057367, [1] [Cycle 1]: 0.00056335, [7] [b_1]: 0.0003875 [b_2]: 1.787e-05 [updatestate_depend_eliminate]: 1.696e-05 [updatestate_assign_eliminate]: 9.46e-06 [updatestate_loads_eliminate]: 1.367e-05 [renormalize]: 5.69999e-07 [cse]: 7.302e-05 [optimize_parallel_all_gather_comm]: 3.611e-05 [overlap_param_gather]: 2.09e-06 [cconv]: 4.022e-05 [loop_unroll]: 0.00067867 [opt_after_cconv]: 0.00025482, [1] [Cycle 1]: 0.00024583, [7] [c_1]: 0.00010835 [parameter_eliminate]: 5.62001e-06 [updatestate_depend_eliminate]: 1.485e-05 [updatestate_assign_eliminate]: 9.01002e-06 [updatestate_loads_eliminate]: 1.326e-05 [cse]: 5.602e-05 [renormalize]: 4.7998e-07 [remove_dup_value]: 6.367e-05 [tuple_transform]: 0.00015015, [1] [Cycle 1]: 0.00014485, [4] [d_1]: 0.00010553 [none_parameter_eliminate]: 2.06e-06 [renormalize]: 3.10014e-07 [switch_simplify]: 1.559e-05 [partial_unused_args_eliminate]: 1.97001e-06 [add_recomputation]: 0.00010933 [cse_after_recomputation]: 5.138e-05, [1] [Cycle 1]: 4.647e-05, [1] [cse]: 4.036e-05 [environ_conv]: 1.578e-05 [swap_dp_allreduce_reducescatter]: 1.266e-05 [bias_add_comm_swap]: 3.42002e-06 [label_micro_interleaved_index]: 5.87999e-06 [label_fine_grained_interleaved_index]: 2.58e-06 [merge_cast_opt]: 1.32e-06 [slice_recompute_activation]: 2.46e-06 [micro_interleaved_order_control]: 2.69999e-06 [assign_add_opt]: 1.25999e-06 [ForceFp32Comm]: 8.50006e-07 [remove_cast_before_assign_add]: 1.48002e-06 [full_micro_interleaved_order_control]: 2.32001e-06 [reorder_send_recv_between_fp_bp]: 2.96001e-06 [comm_op_add_attrs]: 1.02e-06 [add_comm_op_reuse_tag]: 9.39996e-07 [interleave_split_concat_branches]: 1.17e-06 [interleave_parallel_branches]: 1.30001e-06 [overlap_opt_shard_in_pipeline]: 5.15999e-06 [overlap_opt_shard_grad_in_pipeline]: 1.75001e-06 [control_data_broadcast_order]: 2.849e-05 [grouped_pairwise_exchange_alltoall]: 1.68002e-06 [offloading_packed_experts]: 7.78999e-06 [overlap_recompute_and_grad_model_parallel]: 7.85e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.37e-06 [overlap_recompute_allgather_and_fa_grad]: 1.43002e-06 [overlap_recompute_comm]: 2.54999e-06 [overlap_grad_ring_attention]: 9.27001e-06 [overlap_grad_flash_sp]: 4.888e-05 [begin_end_overlap_inline]: 5.50004e-07 [split_matmul_comm_elemetwise]: 2.38998e-06 [split_layernorm_comm]: 1.94e-06 [handle_group_info]: 1.26002e-06 [symbol_engine_optimizer]: 0.0001554, [1] [Cycle 1]: 0.00015018, [6] [build]: 1.57e-05 [elim_shapecalc]: 2.128e-05 [elim_not_effective]: 3.33e-05 [opt_reshape]: 1.785e-05 [fold_const_symbol]: 2.868e-05 [renormalize]: 2.19996e-07 [detach_backward]: 2.36e-06 [pipeline_parallel_scheduler]: 2.21e-06 [auto_monad_reorder]: 7.001e-05 [get_jit_bprop_graph]: 1.99e-06 [rewriter_after_jit_bprop_graph]: 7.52998e-06 [opt_after_jit_grad]: 0.00070574 [validate]: 8.043e-05 Sums bootstrap : 0.000717s : 0.67% type_inference : 0.092069s : 86.41% event_method : 0.000854s : 0.80% auto_monad : 0.000470s : 0.44% graph_reusing : 0.000011s : 0.01% inline : 0.000004s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000067s : 0.06% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000012s : 0.01% parallel-infer-symbol : 0.000003s : 0.00% pre_auto_parallel : 0.000076s : 0.07% 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 : 0.000073s : 0.07% optimize.rewriter_before_opt_a : 0.000182s : 0.17% optimize.opt_a.expand_dump_flag : 0.000010s : 0.01% optimize.opt_a.switch_simplify : 0.000201s : 0.19% optimize.opt_a.loop_unroll : 0.000074s : 0.07% optimize.opt_a.a_1 : 0.002517s : 2.36% optimize.opt_a.with_stream_mark : 0.000069s : 0.06% optimize.opt_a.recompute_prepare : 0.000047s : 0.04% optimize.opt_a.updatestate_depend_eliminate : 0.000098s : 0.09% optimize.opt_a.updatestate_assign_eliminate : 0.000021s : 0.02% optimize.opt_a.updatestate_loads_eliminate : 0.000081s : 0.08% optimize.opt_a.parameter_eliminate : 0.000005s : 0.00% optimize.opt_a.a_2 : 0.000450s : 0.42% optimize.opt_a.accelerated_algorithm : 0.000067s : 0.06% optimize.opt_a.shard : 0.000005s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000013s : 0.01% optimize.opt_a.shard_inline : 0.000031s : 0.03% optimize.opt_a.merge_send_recv : 0.000030s : 0.03% optimize.opt_a.auto_parallel : 0.000033s : 0.03% optimize.opt_a.parallel : 0.000047s : 0.04% optimize.opt_a.flash_sp : 0.000018s : 0.02% optimize.opt_a.merge_comm : 0.000021s : 0.02% optimize.opt_a.allreduce_fusion : 0.000017s : 0.02% optimize.opt_a.matmul_add_comm_reduction : 0.000035s : 0.03% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000037s : 0.03% optimize.opt_a.virtual_dataset : 0.000030s : 0.03% optimize.opt_a.get_grad_eliminate_ : 0.000028s : 0.03% optimize.opt_a.virtual_output : 0.000029s : 0.03% optimize.opt_a.merge_forward : 0.000019s : 0.02% optimize.opt_a.cell_reuse_recompute_pass : 0.000006s : 0.01% optimize.opt_a.offload_activation : 0.000037s : 0.04% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000062s : 0.06% optimize.opt_a.merge_recompute_call_nodes : 0.000004s : 0.00% optimize.opt_a.before_grad : 0.000051s : 0.05% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000019s : 0.02% optimize.opt_a.meta_fg_expand : 0.000017s : 0.02% optimize.opt_a.flash_sp_send_recv_attached : 0.000008s : 0.01% optimize.opt_a.receive_attached : 0.000005s : 0.00% optimize.opt_a.after_resolve : 0.000050s : 0.05% optimize.opt_a.a_after_grad : 0.000053s : 0.05% optimize.opt_a.renormalize : 0.002874s : 2.70% optimize.opt_a.add_forward_monad_depend : 0.000014s : 0.01% optimize.opt_a.auto_monad_grad : 0.000005s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000102s : 0.10% optimize.opt_a.cse : 0.000306s : 0.29% optimize.opt_a.a_3 : 0.000224s : 0.21% optimize.py_interpret_to_execute_after_opt_a : 0.000028s : 0.03% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000215s : 0.20% optimize.convert_after_rewriter : 0.000015s : 0.01% optimize.order_py_execute_after_rewriter : 0.000011s : 0.01% optimize.mutable_eliminate : 0.000865s : 0.81% optimize.opt_b.b_1 : 0.000388s : 0.36% optimize.opt_b.b_2 : 0.000018s : 0.02% optimize.opt_b.updatestate_depend_eliminate : 0.000017s : 0.02% optimize.opt_b.updatestate_assign_eliminate : 0.000009s : 0.01% optimize.opt_b.updatestate_loads_eliminate : 0.000014s : 0.01% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000073s : 0.07% optimize.optimize_parallel_all_gather_comm : 0.000036s : 0.03% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000040s : 0.04% optimize.loop_unroll : 0.000679s : 0.64% optimize.opt_after_cconv.c_1 : 0.000108s : 0.10% optimize.opt_after_cconv.parameter_eliminate : 0.000006s : 0.01% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000015s : 0.01% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000009s : 0.01% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000013s : 0.01% optimize.opt_after_cconv.cse : 0.000056s : 0.05% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.000064s : 0.06% optimize.tuple_transform.d_1 : 0.000106s : 0.10% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000016s : 0.01% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000109s : 0.10% optimize.cse_after_recomputation.cse : 0.000040s : 0.04% optimize.environ_conv : 0.000016s : 0.01% optimize.swap_dp_allreduce_reducescatter : 0.000013s : 0.01% optimize.bias_add_comm_swap : 0.000003s : 0.00% optimize.label_micro_interleaved_index : 0.000006s : 0.01% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000001s : 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 : 0.000001s : 0.00% optimize.full_micro_interleaved_order_control : 0.000002s : 0.00% optimize.reorder_send_recv_between_fp_bp : 0.000003s : 0.00% optimize.comm_op_add_attrs : 0.000001s : 0.00% optimize.add_comm_op_reuse_tag : 0.000001s : 0.00% optimize.interleave_split_concat_branches : 0.000001s : 0.00% optimize.interleave_parallel_branches : 0.000001s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000005s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000028s : 0.03% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000008s : 0.01% optimize.overlap_recompute_and_grad_model_parallel : 0.000008s : 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 : 0.000009s : 0.01% optimize.overlap_grad_flash_sp : 0.000049s : 0.05% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000002s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000016s : 0.01% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000021s : 0.02% optimize.symbol_engine_optimizer.elim_not_effective : 0.000033s : 0.03% optimize.symbol_engine_optimizer.opt_reshape : 0.000018s : 0.02% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000029s : 0.03% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000002s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000070s : 0.07% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.01% opt_after_jit_grad : 0.000706s : 0.66% validate : 0.000080s : 0.08% Time group info: ------[substitution.] 0.000735 165 1.52% : 0.000011s : 2: substitution.depend_value_elim 0.74% : 0.000005s : 9: substitution.elim_not_effective 0.69% : 0.000005s : 9: substitution.fold_const_symbol 1.54% : 0.000011s : 12: substitution.graph_param_transform 65.57% : 0.000482s : 11: substitution.inline 1.19% : 0.000009s : 18: substitution.j_node_and_user_rematch 3.14% : 0.000023s : 4: substitution.less_batch_normalization 1.33% : 0.000010s : 12: substitution.load_eliminater 1.96% : 0.000014s : 18: substitution.remove_not_recompute_node 1.11% : 0.000008s : 6: substitution.replace_old_param 1.92% : 0.000014s : 2: substitution.switch_simplify 5.10% : 0.000037s : 30: substitution.updatestate_pure_node_eliminater 14.20% : 0.000104s : 32: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.091945 2 96.94% : 0.089131s : 1: type_inference.infer 3.06% : 0.002814s : 1: type_inference.specialize ------[replace.] 0.000184 13 63.44% : 0.000117s : 11: replace.inline 36.56% : 0.000067s : 2: replace.switch_simplify ------[match.] 0.000486 13 97.42% : 0.000473s : 11: match.inline 2.58% : 0.000013s : 2: match.switch_simplify ------[predicate.] 0.000641 4059 1.10% : 0.000007s : 49: predicate.accumulaten_eliminater 0.68% : 0.000004s : 12: predicate.ad_related_special_op_eliminate 0.52% : 0.000003s : 24: predicate.addn_check_dump 1.11% : 0.000007s : 49: predicate.addn_zero_filter 1.04% : 0.000007s : 49: predicate.adjust_all_reduce_mul_add 2.43% : 0.000016s : 73: predicate.arithmetic_simplify 1.15% : 0.000007s : 49: predicate.cast_eliminate 0.56% : 0.000004s : 24: predicate.check_bprop_eliminate 0.50% : 0.000003s : 24: predicate.compare_switch_simplify 0.15% : 0.000001s : 12: predicate.const_output_eliminate 0.53% : 0.000003s : 24: predicate.depend_value_elim 1.17% : 0.000008s : 49: predicate.dict_get_item_const_eliminator 1.15% : 0.000007s : 49: predicate.dict_get_item_eliminator 1.08% : 0.000007s : 49: predicate.dict_set_item_eliminator 0.66% : 0.000004s : 24: predicate.dumpgradient_eliminate 0.17% : 0.000001s : 12: predicate.elim_not_effective 0.39% : 0.000002s : 12: predicate.elim_shapecalc_of_broadcastargs 1.41% : 0.000009s : 61: predicate.environ_add_const_eliminate 1.32% : 0.000008s : 61: predicate.environ_get_add_eliminate 1.32% : 0.000008s : 61: predicate.environ_get_depend_swap 1.85% : 0.000012s : 85: predicate.environ_get_eliminate 1.29% : 0.000008s : 61: predicate.environ_get_set_eliminate 1.30% : 0.000008s : 60: predicate.exchange_switch_depend_value 2.05% : 0.000013s : 60: predicate.float_depend_g_call 0.51% : 0.000003s : 24: predicate.float_environ_get_switch 0.76% : 0.000005s : 36: predicate.float_tuple_getitem_switch 0.14% : 0.000001s : 12: predicate.fold_const_symbol 0.54% : 0.000003s : 24: predicate.get_grad_eliminate 0.15% : 0.000001s : 12: predicate.graph_param_transform 0.50% : 0.000003s : 24: predicate.incorporate_call 0.47% : 0.000003s : 24: predicate.incorporate_call_switch 5.74% : 0.000037s : 181: predicate.inline 0.71% : 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 1.69% : 0.000011s : 73: predicate.list_to_tuple_eliminator_ 2.75% : 0.000018s : 122: predicate.load_eliminater 0.86% : 0.000006s : 12: predicate.loop_unroll_after_grad 1.81% : 0.000012s : 78: predicate.loop_unroll_before_grad 1.74% : 0.000011s : 73: predicate.make_slice_get_slice_eliminator 0.56% : 0.000004s : 24: predicate.merge_addn 0.54% : 0.000003s : 24: predicate.micro_step_allgather_replace 0.51% : 0.000003s : 24: predicate.mini_step_allgather_replace 1.03% : 0.000007s : 49: predicate.minmaximum_grad 0.97% : 0.000006s : 12: predicate.mutable_eliminate 0.29% : 0.000002s : 12: predicate.opt_reshape 0.36% : 0.000002s : 12: predicate.parallel_virtual_node 1.88% : 0.000012s : 60: predicate.partial_defer_inline 1.45% : 0.000009s : 61: predicate.partial_eliminate 1.10% : 0.000007s : 49: predicate.print_const_string_wrapper 0.59% : 0.000004s : 24: predicate.reduce_all_const_elim 1.45% : 0.000009s : 49: predicate.reduce_eliminate 2.68% : 0.000017s : 122: predicate.redundant_stop_gradient_eliminater 0.37% : 0.000002s : 24: predicate.remove_not_recompute_node 1.22% : 0.000008s : 73: predicate.replace_applicator 0.33% : 0.000002s : 24: predicate.replace_old_param 0.27% : 0.000002s : 12: predicate.reset_defer_inline 1.27% : 0.000008s : 49: predicate.reshape_eliminate 0.56% : 0.000004s : 24: predicate.row_tensor_add_zeros_like 0.34% : 0.000002s : 12: predicate.row_tensor_eliminate 0.67% : 0.000004s : 24: predicate.same_eliminate 0.40% : 0.000003s : 32: predicate.set_cell_output_no_recompute 0.62% : 0.000004s : 24: predicate.shard_identity_eliminate 0.63% : 0.000004s : 24: predicate.special_op_eliminate 0.69% : 0.000004s : 24: predicate.specialize_transform 0.77% : 0.000005s : 24: predicate.split_environ_get_set_with_tuple_value 0.70% : 0.000004s : 24: predicate.stack_unstack_eliminate 0.29% : 0.000002s : 12: predicate.switch_call_monad_eliminater 1.38% : 0.000009s : 60: predicate.switch_defer_inline 1.92% : 0.000012s : 84: predicate.switch_layer_defer_inline 4.67% : 0.000030s : 178: predicate.switch_simplify 1.41% : 0.000009s : 49: predicate.tile_eliminate 1.14% : 0.000007s : 49: predicate.transpose_eliminate 1.80% : 0.000012s : 73: predicate.tuple_list_convert_item_index_to_positive 1.86% : 0.000012s : 73: predicate.tuple_list_get_item_const_eliminator 1.64% : 0.000010s : 73: predicate.tuple_list_get_item_depend_reorder 2.90% : 0.000019s : 97: predicate.tuple_list_get_item_eliminator 1.66% : 0.000011s : 73: predicate.tuple_list_get_set_item_eliminator 2.52% : 0.000016s : 97: predicate.tuple_list_set_item_eliminator 1.75% : 0.000011s : 73: predicate.tuple_to_list_eliminator_ 2.72% : 0.000017s : 122: predicate.updatestate_pure_node_eliminater 3.46% : 0.000022s : 146: predicate.updatestate_useless_node_eliminater 0.31% : 0.000002s : 12: predicate.value_based_eliminate 0.56% : 0.000004s : 24: predicate.virtual_dataset_eliminate 0.60% : 0.000004s : 24: predicate.virtual_output_eliminate 0.27% : 0.000002s : 12: predicate.virtual_view_grad_eliminate 0.38% : 0.000002s : 12: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.001630 18 38.14% : 0.000622s : 5: func_graph_cloner_run.FuncGraphClonerGraph 61.86% : 0.001008s : 13: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.137119 192 0.00% : 0.000003s : 1: ForceFp32Comm 3.50% : 0.004797s : 1: add_attr 3.48% : 0.004777s : 1: add_attr_with_inline 0.00% : 0.000003s : 1: add_comm_op_reuse_tag 0.08% : 0.000114s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.36% : 0.000492s : 1: auto_monad 0.06% : 0.000076s : 1: auto_monad_reorder 0.00% : 0.000003s : 1: begin_end_overlap_inline 0.00% : 0.000007s : 1: bias_add_comm_swap 0.55% : 0.000751s : 1: bootstrap 0.03% : 0.000044s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.02% : 0.000032s : 1: control_data_broadcast_order 0.01% : 0.000019s : 1: convert_after_rewriter 0.04% : 0.000054s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.01% : 0.000020s : 1: environ_conv 0.65% : 0.000893s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.01% : 0.000016s : 1: graph_reusing 0.00% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.01% : 0.000007s : 1: inline 0.00% : 0.000007s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.01% : 0.000009s : 1: label_micro_interleaved_index 0.50% : 0.000691s : 1: loop_unroll 0.00% : 0.000004s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.64% : 0.000881s : 1: mutable_eliminate 0.01% : 0.000011s : 1: offloading_packed_experts 0.02% : 0.000030s : 1: opt.transform.loop_unroll_optimizer 0.03% : 0.000037s : 1: opt.transform.mutable_eliminate 2.80% : 0.003834s : 78: opt.transform.opt_a 0.08% : 0.000107s : 1: opt.transform.opt_after_cconv 0.04% : 0.000060s : 1: opt.transform.opt_after_jit_grad 0.27% : 0.000368s : 28: opt.transform.opt_b 0.09% : 0.000118s : 2: opt.transform.opt_trans_graph 0.07% : 0.000096s : 4: opt.transform.symbol_engine_opt 6.20% : 0.008495s : 1: opt_a 0.19% : 0.000259s : 1: opt_after_cconv 0.52% : 0.000718s : 1: opt_after_jit_grad 0.42% : 0.000578s : 1: opt_b 9.08% : 0.012453s : 1: optimize 0.03% : 0.000040s : 1: optimize_parallel_all_gather_comm 0.01% : 0.000014s : 1: order_py_execute_after_rewriter 0.04% : 0.000052s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.01% : 0.000013s : 1: overlap_grad_ring_attention 0.00% : 0.000004s : 1: overlap_opt_shard_grad_in_pipeline 0.01% : 0.000008s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000006s : 1: overlap_param_gather 0.00% : 0.000004s : 1: overlap_recompute_allgather_and_fa_grad 0.01% : 0.000011s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 1: overlap_recompute_comm 0.01% : 0.000008s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.06% : 0.000082s : 1: pre_auto_parallel 0.06% : 0.000078s : 1: py_interpret_to_execute 0.02% : 0.000033s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.05% : 0.000068s : 1: remove_dup_value 1.10% : 0.001504s : 1: renormalize.infer 0.99% : 0.001354s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.01% : 0.000011s : 1: rewriter_after_jit_bprop_graph 0.16% : 0.000223s : 1: rewriter_after_opt_a 0.14% : 0.000189s : 1: rewriter_before_opt_a 0.00% : 0.000005s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000005s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.01% : 0.000016s : 1: swap_dp_allreduce_reducescatter 0.12% : 0.000158s : 1: symbol_engine_optimizer 0.11% : 0.000153s : 1: tuple_transform 67.17% : 0.092105s : 1: type_inference . [hook] pytest_runtest_teardown:test_mint_optim_fused_adamw_basic_amsgrad[0] tests/st/mint/optim/test_fused_adamw.py::test_mint_optim_fused_adamw_basic_amsgrad[0],max_mem:20.0M [WARNING] ME(169177:281472870252336,MainProcess):2026-01-29-17:44:40.473.034 [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(169177,ffff8271ff30,python3.9):2026-01-29-17:44:41.677.281 [mindspore/ccsrc/frontend/jit/ps/static_analysis/auto_monad.cc:1601] ClearIsolatedNodes] Some side effect nodes were eliminated by mistake. The node is:@426_train_step_101:_{[0]: ValueNode 575__tuple_getitem_by_number_102, [1]: CNode_103, [2]: ValueNode 1} TotalTime = 1.51538, [30] [bootstrap]: 0.00050614 [type_inference]: 1.20133 [event_method]: 0.00036757 [auto_monad]: 0.00219838 [graph_reusing]: 0.00013174 [pre_auto_parallel]: 1.945e-05 [py_interpret_to_execute]: 0.00056176 [rewriter_before_opt_a]: 0.00468287 [expand_dump_flag]: 3.801e-05 [jit_opt_a]: 0.298306, [4] [Cycle 1]: 0.210303, [27] [switch_simplify]: 0.00153229 [loop_unroll]: 0.00065885 [a_1]: 0.0422959 [with_stream_mark]: 0.00020507 [recompute_prepare]: 0.00012696 [updatestate_depend_eliminate]: 0.00060352 [updatestate_assign_eliminate]: 6.146e-05 [updatestate_loads_eliminate]: 0.00014321 [parameter_eliminate]: 6.24999e-06 [specialize_transform]: 8.571e-05 [updatestate_useless_node_eliminater]: 0.00010156 [accelerated_algorithm]: 0.0001364 [meta_shard_fg_expand]: 3.906e-05 [get_grad_eliminate_]: 6.502e-05 [merge_forward]: 4.384e-05 [cell_reuse_recompute_pass]: 2.27999e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00012939 [j_node_and_user_rematch]: 0.00011467 [meta_fg_expand]: 0.0169678 [replace_old_param]: 0.00039042 [inline_without_move]: 0.00041581 [renormalize]: 0.12312 [add_forward_monad_depend]: 6.664e-05 [auto_monad_grad]: 4.071e-05 [auto_monad_eliminator]: 0.0202163 [cse]: 0.00135307 [replace_applicator]: 0.00074601 [Cycle 2]: 0.0500601, [27] [switch_simplify]: 0.00034098 [loop_unroll]: 0.00030955 [a_1]: 0.0105609 [with_stream_mark]: 0.000164 [recompute_prepare]: 7.819e-05 [updatestate_depend_eliminate]: 0.00010984 [updatestate_assign_eliminate]: 3.981e-05 [updatestate_loads_eliminate]: 0.00011772 [parameter_eliminate]: 3.49001e-06 [specialize_transform]: 5.99e-05 [updatestate_useless_node_eliminater]: 8.46e-05 [accelerated_algorithm]: 6.661e-05 [meta_shard_fg_expand]: 2.221e-05 [get_grad_eliminate_]: 4.958e-05 [merge_forward]: 3.242e-05 [cell_reuse_recompute_pass]: 2.28002e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.668e-05 [j_node_and_user_rematch]: 8.679e-05 [meta_fg_expand]: 0.00114136 [replace_old_param]: 0.00011323 [inline_without_move]: 5.71e-05 [renormalize]: 0.0354935 [add_forward_monad_depend]: 1.47e-05 [auto_monad_grad]: 3.11999e-06 [auto_monad_eliminator]: 0.00020726 [cse]: 0.00032715 [replace_applicator]: 8.31e-05 [Cycle 3]: 0.00677353, [27] [switch_simplify]: 5.29e-05 [loop_unroll]: 4.723e-05 [a_1]: 0.00152526 [with_stream_mark]: 6.971e-05 [recompute_prepare]: 8.505e-05 [updatestate_depend_eliminate]: 3.835e-05 [updatestate_assign_eliminate]: 3.249e-05 [updatestate_loads_eliminate]: 3.431e-05 [parameter_eliminate]: 3.14999e-06 [specialize_transform]: 4.844e-05 [updatestate_useless_node_eliminater]: 7.931e-05 [accelerated_algorithm]: 5.719e-05 [meta_shard_fg_expand]: 2.163e-05 [get_grad_eliminate_]: 4.753e-05 [merge_forward]: 3.168e-05 [cell_reuse_recompute_pass]: 4.07998e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.196e-05 [j_node_and_user_rematch]: 7.96e-05 [meta_fg_expand]: 1.945e-05 [replace_old_param]: 6.297e-05 [inline_without_move]: 4.655e-05 [renormalize]: 0.00360276 [add_forward_monad_depend]: 1.328e-05 [auto_monad_grad]: 2.76e-06 [auto_monad_eliminator]: 0.00012924 [cse]: 0.00019414 [replace_applicator]: 7.118e-05 [Cycle 4]: 0.00557536, [27] [switch_simplify]: 4.541e-05 [loop_unroll]: 4.248e-05 [a_1]: 0.00395204 [with_stream_mark]: 9.834e-05 [recompute_prepare]: 6.311e-05 [updatestate_depend_eliminate]: 3.736e-05 [updatestate_assign_eliminate]: 3.394e-05 [updatestate_loads_eliminate]: 3.308e-05 [parameter_eliminate]: 2.79999e-06 [specialize_transform]: 4.807e-05 [updatestate_useless_node_eliminater]: 8.391e-05 [accelerated_algorithm]: 6.147e-05 [meta_shard_fg_expand]: 2.421e-05 [get_grad_eliminate_]: 4.65e-05 [merge_forward]: 3.284e-05 [cell_reuse_recompute_pass]: 4.53001e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00012235 [j_node_and_user_rematch]: 8.047e-05 [meta_fg_expand]: 1.964e-05 [replace_old_param]: 6.464e-05 [inline_without_move]: 4.68e-05 [renormalize]: 7.99773e-08 [add_forward_monad_depend]: 6.53e-06 [auto_monad_grad]: 3.54002e-06 [auto_monad_eliminator]: 0.00013052 [cse]: 0.00017841 [replace_applicator]: 5.566e-05 [py_interpret_to_execute_after_opt_a]: 6.365e-05 [rewriter_after_opt_a]: 0.00045537 [convert_after_rewriter]: 4.242e-05 [order_py_execute_after_rewriter]: 2.597e-05 [mutable_eliminate]: 0.00093197 [jit_opt_b]: 0.00029369, [1] [Cycle 1]: 0.00028316, [2] [frontend_op_eliminate]: 0.00014071 [inline_after_opt_a]: 0.00012555 [cconv]: 5.992e-05 [loop_unroll]: 0.00066621 [jit_opt_after_cconv]: 0.00093656, [1] [Cycle 1]: 0.00092588, [11] [c_1]: 0.00029362 [parameter_eliminate]: 6.19001e-06 [updatestate_depend_eliminate]: 5.103e-05 [updatestate_assign_eliminate]: 3.438e-05 [updatestate_loads_eliminate]: 3.308e-05 [cse]: 0.00020658 [call_graph_tuple_transform]: 0.00012245 [tuple_list_get_item_eliminator]: 4.564e-05 [none_parameter_eliminate]: 3.03e-06 [renormalize]: 1.14e-06 [switch_simplify]: 4.563e-05 [remove_dup_value]: 0.00072549 [partial_unused_args_eliminate]: 5.59e-06 [environ_conv]: 4.68e-05 [add_recomputation]: 0.00031468 [cse_after_recomputation]: 0.00017039, [1] [Cycle 1]: 0.0001592, [1] [cse]: 0.00013775 [auto_monad_reorder]: 0.00012137 [get_jit_bprop_graph]: 2.58998e-06 [rewriter_after_jit_bprop_graph]: 0.00036672 [opt_after_jit_grad]: 0.00093323 [symbol_engine_optimizer]: 0.00033565, [1] [Cycle 1]: 0.00032626, [6] [build]: 2.88e-05 [elim_shapecalc]: 5.326e-05 [elim_not_effective]: 8.289e-05 [opt_reshape]: 4.78e-05 [fold_const_symbol]: 7.455e-05 [renormalize]: 3.80009e-07 [validate]: 0.00026476 Sums bootstrap : 0.000506s : 0.03% type_inference : 1.201332s : 80.76% event_method : 0.000368s : 0.02% auto_monad : 0.002198s : 0.15% graph_reusing : 0.000132s : 0.01% pre_auto_parallel : 0.000019s : 0.00% py_interpret_to_execute : 0.000562s : 0.04% rewriter_before_opt_a : 0.004683s : 0.31% expand_dump_flag : 0.000038s : 0.00% jit_opt_a.switch_simplify : 0.001972s : 0.13% jit_opt_a.loop_unroll : 0.001058s : 0.07% jit_opt_a.a_1 : 0.058334s : 3.92% jit_opt_a.with_stream_mark : 0.000537s : 0.04% jit_opt_a.recompute_prepare : 0.000353s : 0.02% jit_opt_a.updatestate_depend_eliminate : 0.000789s : 0.05% jit_opt_a.updatestate_assign_eliminate : 0.000168s : 0.01% jit_opt_a.updatestate_loads_eliminate : 0.000328s : 0.02% jit_opt_a.parameter_eliminate : 0.000016s : 0.00% jit_opt_a.specialize_transform : 0.000242s : 0.02% jit_opt_a.updatestate_useless_node_eliminater : 0.000349s : 0.02% jit_opt_a.accelerated_algorithm : 0.000322s : 0.02% jit_opt_a.meta_shard_fg_expand : 0.000107s : 0.01% jit_opt_a.get_grad_eliminate_ : 0.000209s : 0.01% jit_opt_a.merge_forward : 0.000141s : 0.01% jit_opt_a.cell_reuse_recompute_pass : 0.000013s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000440s : 0.03% jit_opt_a.j_node_and_user_rematch : 0.000362s : 0.02% jit_opt_a.meta_fg_expand : 0.018148s : 1.22% jit_opt_a.replace_old_param : 0.000631s : 0.04% jit_opt_a.inline_without_move : 0.000566s : 0.04% jit_opt_a.renormalize : 0.162216s : 10.90% jit_opt_a.add_forward_monad_depend : 0.000101s : 0.01% jit_opt_a.auto_monad_grad : 0.000050s : 0.00% jit_opt_a.auto_monad_eliminator : 0.020683s : 1.39% jit_opt_a.cse : 0.002053s : 0.14% jit_opt_a.replace_applicator : 0.000956s : 0.06% py_interpret_to_execute_after_opt_a : 0.000064s : 0.00% rewriter_after_opt_a : 0.000455s : 0.03% convert_after_rewriter : 0.000042s : 0.00% order_py_execute_after_rewriter : 0.000026s : 0.00% mutable_eliminate : 0.000932s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000141s : 0.01% jit_opt_b.inline_after_opt_a : 0.000126s : 0.01% cconv : 0.000060s : 0.00% loop_unroll : 0.000666s : 0.04% jit_opt_after_cconv.c_1 : 0.000294s : 0.02% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000051s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000034s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000033s : 0.00% jit_opt_after_cconv.cse : 0.000207s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000122s : 0.01% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000046s : 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 : 0.000046s : 0.00% remove_dup_value : 0.000725s : 0.05% partial_unused_args_eliminate : 0.000006s : 0.00% environ_conv : 0.000047s : 0.00% add_recomputation : 0.000315s : 0.02% cse_after_recomputation.cse : 0.000138s : 0.01% auto_monad_reorder : 0.000121s : 0.01% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000367s : 0.02% opt_after_jit_grad : 0.000933s : 0.06% symbol_engine_optimizer.build : 0.000029s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000053s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000083s : 0.01% symbol_engine_optimizer.opt_reshape : 0.000048s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000075s : 0.01% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000265s : 0.02% Time group info: ------[substitution.] 0.012299 1554 0.91% : 0.000112s : 5: substitution.arithmetic_simplify 0.29% : 0.000036s : 3: substitution.cast_eliminate 1.18% : 0.000145s : 51: substitution.depend_value_elim 0.09% : 0.000011s : 32: substitution.elim_not_effective 0.08% : 0.000010s : 4: substitution.environ_get_add_eliminate 0.04% : 0.000004s : 2: substitution.environ_get_depend_swap 0.08% : 0.000010s : 4: substitution.environ_get_eliminate 0.19% : 0.000024s : 4: substitution.environ_get_set_eliminate 0.08% : 0.000010s : 32: substitution.fold_const_symbol 14.09% : 0.001733s : 8: substitution.getattr_setattr_resolve 0.23% : 0.000029s : 44: substitution.graph_param_transform 59.66% : 0.007338s : 174: substitution.inline 1.02% : 0.000125s : 12: substitution.inline_without_move 0.48% : 0.000059s : 147: substitution.j_node_and_user_rematch 0.54% : 0.000067s : 17: substitution.less_batch_normalization 0.28% : 0.000034s : 1: substitution.list_to_tuple_eliminator_ 0.32% : 0.000039s : 30: substitution.load_eliminater 0.83% : 0.000102s : 69: substitution.minmaximum_grad 0.01% : 0.000001s : 1: substitution.opt_reshape 0.35% : 0.000043s : 12: substitution.partial_eliminate 0.27% : 0.000033s : 6: substitution.reduce_eliminate 0.06% : 0.000008s : 5: substitution.redundant_stop_gradient_eliminater 0.90% : 0.000111s : 147: substitution.remove_not_recompute_node 1.68% : 0.000206s : 55: substitution.replace_applicator 0.61% : 0.000075s : 76: substitution.replace_old_param 0.91% : 0.000112s : 14: substitution.reshape_eliminate 0.05% : 0.000007s : 1: substitution.set_cell_output_no_recompute 0.04% : 0.000005s : 3: substitution.split_environ_get_set_with_tuple_value 0.72% : 0.000089s : 34: substitution.switch_simplify 0.06% : 0.000007s : 1: substitution.tile_eliminate 2.93% : 0.000360s : 79: substitution.tuple_list_convert_item_index_to_positive 2.41% : 0.000296s : 88: substitution.tuple_list_get_item_depend_reorder 4.40% : 0.000542s : 167: substitution.tuple_list_get_item_eliminator 1.33% : 0.000164s : 101: substitution.updatestate_pure_node_eliminater 2.89% : 0.000355s : 125: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.200534 2 91.76% : 1.101558s : 1: type_inference.infer 8.24% : 0.098976s : 1: type_inference.specialize ------[replace.] 0.004231 322 0.45% : 0.000019s : 1: replace.arithmetic_simplify 0.86% : 0.000036s : 3: replace.cast_eliminate 1.12% : 0.000047s : 5: replace.depend_value_elim 0.81% : 0.000034s : 2: replace.environ_get_set_eliminate 3.39% : 0.000143s : 6: replace.getattr_setattr_resolve 49.27% : 0.002085s : 174: replace.inline 0.74% : 0.000031s : 1: replace.list_to_tuple_eliminator_ 0.87% : 0.000037s : 2: replace.partial_eliminate 2.65% : 0.000112s : 3: replace.replace_applicator 0.25% : 0.000011s : 1: replace.reshape_eliminate 11.13% : 0.000471s : 34: replace.switch_simplify 3.69% : 0.000156s : 9: replace.tuple_list_get_item_depend_reorder 24.11% : 0.001020s : 79: replace.tuple_list_get_item_eliminator 0.65% : 0.000028s : 2: replace.updatestate_useless_node_eliminater ------[match.] 0.009525 322 0.61% : 0.000058s : 1: match.arithmetic_simplify 0.35% : 0.000033s : 3: match.cast_eliminate 0.08% : 0.000008s : 5: match.depend_value_elim 0.19% : 0.000018s : 2: match.environ_get_set_eliminate 17.20% : 0.001638s : 6: match.getattr_setattr_resolve 75.79% : 0.007219s : 174: match.inline 0.35% : 0.000033s : 1: match.list_to_tuple_eliminator_ 0.23% : 0.000022s : 2: match.partial_eliminate 0.40% : 0.000038s : 3: match.replace_applicator 0.08% : 0.000008s : 1: match.reshape_eliminate 0.74% : 0.000071s : 34: match.switch_simplify 1.19% : 0.000114s : 9: match.tuple_list_get_item_depend_reorder 2.61% : 0.000249s : 79: match.tuple_list_get_item_eliminator 0.19% : 0.000018s : 2: match.updatestate_useless_node_eliminater ------[predicate.] 0.005409 34488 1.50% : 0.000081s : 591: predicate.accumulaten_eliminater 0.21% : 0.000011s : 44: predicate.ad_related_special_op_eliminate 1.48% : 0.000080s : 591: predicate.addn_check_dump 1.76% : 0.000095s : 591: predicate.addn_zero_filter 2.63% : 0.000142s : 592: predicate.arithmetic_simplify 1.53% : 0.000083s : 596: predicate.cast_eliminate 0.12% : 0.000006s : 44: predicate.check_bprop_eliminate 1.50% : 0.000081s : 591: predicate.compare_switch_simplify 1.65% : 0.000089s : 591: predicate.depend_value_elim 1.45% : 0.000079s : 598: predicate.dict_get_item_const_eliminator 1.49% : 0.000081s : 598: predicate.dict_get_item_eliminator 1.50% : 0.000081s : 598: predicate.dict_set_item_eliminator 0.16% : 0.000008s : 44: predicate.dumpgradient_eliminate 0.07% : 0.000004s : 44: predicate.elim_not_effective 0.13% : 0.000007s : 44: predicate.elim_shapecalc_of_broadcastargs 1.46% : 0.000079s : 596: predicate.environ_add_const_eliminate 1.46% : 0.000079s : 598: predicate.environ_get_add_eliminate 1.44% : 0.000078s : 596: predicate.environ_get_depend_swap 1.50% : 0.000081s : 598: predicate.environ_get_eliminate 1.48% : 0.000080s : 598: predicate.environ_get_set_eliminate 0.06% : 0.000003s : 44: predicate.fold_const_symbol 0.55% : 0.000030s : 202: predicate.get_grad_eliminate 0.29% : 0.000016s : 40: predicate.getattr_setattr_resolve 0.06% : 0.000003s : 44: predicate.graph_param_transform 4.54% : 0.000246s : 953: predicate.inline 1.36% : 0.000074s : 408: predicate.inline_without_move 0.28% : 0.000015s : 202: predicate.j_node_and_user_rematch 0.70% : 0.000038s : 212: predicate.less_batch_normalization 1.80% : 0.000097s : 687: predicate.list_to_tuple_eliminator_ 2.04% : 0.000110s : 733: predicate.load_eliminater 0.22% : 0.000012s : 44: predicate.loop_unroll_after_grad 3.45% : 0.000187s : 1178: predicate.loop_unroll_before_grad 1.62% : 0.000088s : 651: predicate.make_slice_get_slice_eliminator 1.44% : 0.000078s : 591: predicate.merge_addn 1.51% : 0.000082s : 592: predicate.minmaximum_grad 0.30% : 0.000016s : 44: predicate.mutable_eliminate 0.12% : 0.000006s : 44: predicate.opt_reshape 2.40% : 0.000130s : 733: predicate.partial_eliminate 1.57% : 0.000085s : 586: predicate.print_const_string_wrapper 1.96% : 0.000106s : 592: predicate.reduce_eliminate 1.92% : 0.000104s : 689: predicate.redundant_stop_gradient_eliminater 0.30% : 0.000016s : 202: predicate.remove_not_recompute_node 2.17% : 0.000117s : 1175: predicate.replace_applicator 0.60% : 0.000033s : 408: predicate.replace_old_param 0.07% : 0.000004s : 44: predicate.reset_defer_inline 1.52% : 0.000082s : 593: predicate.reshape_eliminate 1.71% : 0.000093s : 586: predicate.row_tensor_add_zeros_like 0.15% : 0.000008s : 44: predicate.row_tensor_eliminate 1.74% : 0.000094s : 586: predicate.same_eliminate 0.40% : 0.000022s : 247: predicate.set_cell_output_no_recompute 0.24% : 0.000013s : 88: predicate.special_op_eliminate 0.62% : 0.000033s : 202: predicate.specialize_transform 1.79% : 0.000097s : 586: predicate.split_environ_get_set_with_tuple_value 1.49% : 0.000081s : 586: predicate.stack_unstack_eliminate 0.12% : 0.000007s : 44: predicate.switch_call_monad_eliminater 3.95% : 0.000214s : 865: predicate.switch_defer_inline 2.76% : 0.000149s : 865: predicate.switch_layer_defer_inline 6.44% : 0.000348s : 2155: predicate.switch_simplify 1.58% : 0.000085s : 592: predicate.tile_eliminate 1.53% : 0.000083s : 592: predicate.transpose_eliminate 2.02% : 0.000109s : 598: predicate.tuple_list_convert_item_index_to_positive 1.82% : 0.000098s : 607: predicate.tuple_list_get_item_depend_reorder 3.43% : 0.000186s : 774: predicate.tuple_list_get_item_eliminator 1.89% : 0.000102s : 607: predicate.tuple_list_set_item_eliminator 1.87% : 0.000101s : 686: predicate.tuple_to_list_eliminator_ 2.03% : 0.000110s : 733: predicate.updatestate_pure_node_eliminater 2.82% : 0.000153s : 937: predicate.updatestate_useless_node_eliminater 1.93% : 0.000104s : 586: predicate.value_based_eliminate 0.12% : 0.000006s : 44: predicate.virtual_view_grad_eliminate 0.14% : 0.000008s : 44: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.096976 415 72.59% : 0.070393s : 212: func_graph_cloner_run.FuncGraphClonerGraph 27.41% : 0.026583s : 203: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.746007 106 0.02% : 0.000320s : 1: add_recomputation 0.13% : 0.002209s : 1: auto_monad 0.01% : 0.000126s : 1: auto_monad_reorder 0.03% : 0.000538s : 1: bootstrap 0.00% : 0.000063s : 1: cconv 0.00% : 0.000046s : 1: convert_after_rewriter 0.01% : 0.000174s : 1: cse_after_recomputation 0.00% : 0.000050s : 1: environ_conv 0.02% : 0.000375s : 1: event_method 0.00% : 0.000044s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000137s : 1: graph_reusing 17.09% : 0.298311s : 1: jit_opt_a 0.05% : 0.000941s : 1: jit_opt_after_cconv 0.02% : 0.000297s : 1: jit_opt_b 0.04% : 0.000677s : 1: loop_unroll 0.05% : 0.000945s : 1: mutable_eliminate 3.76% : 0.065647s : 52: opt.transform.jit_opt_a 0.03% : 0.000500s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000255s : 4: opt.transform.jit_opt_b 0.00% : 0.000068s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000084s : 1: opt.transform.mutable_eliminate 0.01% : 0.000164s : 1: opt.transform.opt_after_jit_grad 0.12% : 0.002013s : 4: opt.transform.opt_resolve 0.01% : 0.000254s : 4: opt.transform.symbol_engine_opt 0.05% : 0.000945s : 1: opt_after_jit_grad 0.00% : 0.000028s : 1: order_py_execute_after_rewriter 0.00% : 0.000009s : 1: partial_unused_args_eliminate 0.00% : 0.000022s : 1: pre_auto_parallel 0.03% : 0.000568s : 1: py_interpret_to_execute 0.00% : 0.000068s : 1: py_interpret_to_execute_after_opt_a 0.04% : 0.000739s : 1: remove_dup_value 6.91% : 0.120681s : 3: renormalize.infer 2.38% : 0.041469s : 3: renormalize.specialize 0.02% : 0.000372s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.000464s : 1: rewriter_after_opt_a 0.27% : 0.004704s : 1: rewriter_before_opt_a 0.02% : 0.000339s : 1: symbol_engine_optimizer 68.81% : 1.201352s : 1: type_inference [WARNING] ME(169177:281472870252336,MainProcess):2026-01-29-17:44:42.687.812 [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(169177,ffff8271ff30,python3.9):2026-01-29-17:44:44.143.730 [mindspore/ccsrc/frontend/jit/ps/static_analysis/auto_monad.cc:1601] ClearIsolatedNodes] Some side effect nodes were eliminated by mistake. The node is:@629_train_step_126:_{[0]: ValueNode 778__tuple_getitem_by_number_127, [1]: CNode_128, [2]: ValueNode 1} TotalTime = 1.77121, [30] [bootstrap]: 0.00029135 [type_inference]: 1.45254 [event_method]: 0.00083196 [auto_monad]: 0.0027879 [graph_reusing]: 0.00017904 [pre_auto_parallel]: 3.005e-05 [py_interpret_to_execute]: 0.00090773 [rewriter_before_opt_a]: 0.00503069 [expand_dump_flag]: 5.999e-05 [jit_opt_a]: 0.302047, [4] [Cycle 1]: 0.220504, [27] [switch_simplify]: 0.0014968 [loop_unroll]: 0.00063863 [a_1]: 0.0362856 [with_stream_mark]: 0.00031903 [recompute_prepare]: 0.00013751 [updatestate_depend_eliminate]: 0.00062977 [updatestate_assign_eliminate]: 6.513e-05 [updatestate_loads_eliminate]: 0.00012833 [parameter_eliminate]: 5.24e-06 [specialize_transform]: 8.406e-05 [updatestate_useless_node_eliminater]: 9.652e-05 [accelerated_algorithm]: 0.00013481 [meta_shard_fg_expand]: 6.057e-05 [get_grad_eliminate_]: 6.352e-05 [merge_forward]: 4.135e-05 [cell_reuse_recompute_pass]: 2.32999e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00012241 [j_node_and_user_rematch]: 0.0001086 [meta_fg_expand]: 0.0462595 [replace_old_param]: 0.00042066 [inline_without_move]: 0.0003929 [renormalize]: 0.129638 [add_forward_monad_depend]: 0.00010574 [auto_monad_grad]: 4.842e-05 [auto_monad_eliminator]: 0.00067857 [cse]: 0.00123055 [replace_applicator]: 0.00077265 [Cycle 2]: 0.0417822, [27] [switch_simplify]: 0.00041597 [loop_unroll]: 0.00034375 [a_1]: 0.0103902 [with_stream_mark]: 0.0002375 [recompute_prepare]: 8.582e-05 [updatestate_depend_eliminate]: 8.405e-05 [updatestate_assign_eliminate]: 3.823e-05 [updatestate_loads_eliminate]: 0.00011605 [parameter_eliminate]: 3.48999e-06 [specialize_transform]: 6.283e-05 [updatestate_useless_node_eliminater]: 8.225e-05 [accelerated_algorithm]: 6.105e-05 [meta_shard_fg_expand]: 2.942e-05 [get_grad_eliminate_]: 5.069e-05 [merge_forward]: 3.064e-05 [cell_reuse_recompute_pass]: 3.34001e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00040309 [j_node_and_user_rematch]: 9.332e-05 [meta_fg_expand]: 0.0165431 [replace_old_param]: 0.00012207 [inline_without_move]: 5.234e-05 [renormalize]: 0.0115942 [add_forward_monad_depend]: 1.505e-05 [auto_monad_grad]: 4.25e-06 [auto_monad_eliminator]: 0.00021725 [cse]: 0.00021624 [replace_applicator]: 7.741e-05 [Cycle 3]: 0.0197078, [27] [switch_simplify]: 4.754e-05 [loop_unroll]: 4.474e-05 [a_1]: 0.0146343 [with_stream_mark]: 8.415e-05 [recompute_prepare]: 5.745e-05 [updatestate_depend_eliminate]: 3.63e-05 [updatestate_assign_eliminate]: 3.319e-05 [updatestate_loads_eliminate]: 3.39e-05 [parameter_eliminate]: 2.45002e-06 [specialize_transform]: 4.959e-05 [updatestate_useless_node_eliminater]: 7.811e-05 [accelerated_algorithm]: 6.124e-05 [meta_shard_fg_expand]: 2.294e-05 [get_grad_eliminate_]: 4.486e-05 [merge_forward]: 2.881e-05 [cell_reuse_recompute_pass]: 4.63001e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.118e-05 [j_node_and_user_rematch]: 7.462e-05 [meta_fg_expand]: 1.93e-05 [replace_old_param]: 6.052e-05 [inline_without_move]: 4.537e-05 [renormalize]: 0.00349515 [add_forward_monad_depend]: 1.223e-05 [auto_monad_grad]: 2.87002e-06 [auto_monad_eliminator]: 0.00013143 [cse]: 0.00019371 [replace_applicator]: 7.022e-05 [Cycle 4]: 0.00269808, [27] [switch_simplify]: 4.553e-05 [loop_unroll]: 4.341e-05 [a_1]: 0.00137877 [with_stream_mark]: 5.056e-05 [recompute_prepare]: 4.687e-05 [updatestate_depend_eliminate]: 3.408e-05 [updatestate_assign_eliminate]: 3.226e-05 [updatestate_loads_eliminate]: 3.276e-05 [parameter_eliminate]: 2.40002e-06 [specialize_transform]: 5.213e-05 [updatestate_useless_node_eliminater]: 6.464e-05 [accelerated_algorithm]: 5.485e-05 [meta_shard_fg_expand]: 1.664e-05 [get_grad_eliminate_]: 4.626e-05 [merge_forward]: 2.747e-05 [cell_reuse_recompute_pass]: 3.45e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.017e-05 [j_node_and_user_rematch]: 7.442e-05 [meta_fg_expand]: 1.971e-05 [replace_old_param]: 5.78e-05 [inline_without_move]: 4.454e-05 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 4.06001e-06 [auto_monad_grad]: 2.70002e-06 [auto_monad_eliminator]: 0.00010209 [cse]: 0.00015335 [replace_applicator]: 5.272e-05 [py_interpret_to_execute_after_opt_a]: 6.02e-05 [rewriter_after_opt_a]: 0.00045842 [convert_after_rewriter]: 3.907e-05 [order_py_execute_after_rewriter]: 2.539e-05 [mutable_eliminate]: 0.0009076 [jit_opt_b]: 0.00029033, [1] [Cycle 1]: 0.00027925, [2] [frontend_op_eliminate]: 0.00014081 [inline_after_opt_a]: 0.00012382 [cconv]: 5.472e-05 [loop_unroll]: 0.00070008 [jit_opt_after_cconv]: 0.00086301, [1] [Cycle 1]: 0.000851, [11] [c_1]: 0.00029204 [parameter_eliminate]: 6.61e-06 [updatestate_depend_eliminate]: 4.835e-05 [updatestate_assign_eliminate]: 3.229e-05 [updatestate_loads_eliminate]: 3.158e-05 [cse]: 0.00016771 [call_graph_tuple_transform]: 0.00011532 [tuple_list_get_item_eliminator]: 4.527e-05 [none_parameter_eliminate]: 2.53e-06 [renormalize]: 1.02998e-06 [switch_simplify]: 4.402e-05 [remove_dup_value]: 0.00016265 [partial_unused_args_eliminate]: 3.03e-06 [environ_conv]: 3.865e-05 [add_recomputation]: 0.00028612 [cse_after_recomputation]: 0.00017989, [1] [Cycle 1]: 0.00016809, [1] [cse]: 0.00015251 [auto_monad_reorder]: 0.0001195 [get_jit_bprop_graph]: 2.83e-06 [rewriter_after_jit_bprop_graph]: 0.00037421 [opt_after_jit_grad]: 0.00092336 [symbol_engine_optimizer]: 0.00033541, [1] [Cycle 1]: 0.00032638, [6] [build]: 3.606e-05 [elim_shapecalc]: 5.246e-05 [elim_not_effective]: 8.291e-05 [opt_reshape]: 4.723e-05 [fold_const_symbol]: 7.303e-05 [renormalize]: 6.00005e-07 [validate]: 0.0001753 Sums bootstrap : 0.000291s : 0.02% type_inference : 1.452542s : 82.92% event_method : 0.000832s : 0.05% auto_monad : 0.002788s : 0.16% graph_reusing : 0.000179s : 0.01% pre_auto_parallel : 0.000030s : 0.00% py_interpret_to_execute : 0.000908s : 0.05% rewriter_before_opt_a : 0.005031s : 0.29% expand_dump_flag : 0.000060s : 0.00% jit_opt_a.switch_simplify : 0.002006s : 0.11% jit_opt_a.loop_unroll : 0.001071s : 0.06% jit_opt_a.a_1 : 0.062689s : 3.58% jit_opt_a.with_stream_mark : 0.000691s : 0.04% jit_opt_a.recompute_prepare : 0.000328s : 0.02% jit_opt_a.updatestate_depend_eliminate : 0.000784s : 0.04% jit_opt_a.updatestate_assign_eliminate : 0.000169s : 0.01% jit_opt_a.updatestate_loads_eliminate : 0.000311s : 0.02% jit_opt_a.parameter_eliminate : 0.000014s : 0.00% jit_opt_a.specialize_transform : 0.000249s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000322s : 0.02% jit_opt_a.accelerated_algorithm : 0.000312s : 0.02% jit_opt_a.meta_shard_fg_expand : 0.000130s : 0.01% jit_opt_a.get_grad_eliminate_ : 0.000205s : 0.01% jit_opt_a.merge_forward : 0.000128s : 0.01% jit_opt_a.cell_reuse_recompute_pass : 0.000014s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000707s : 0.04% jit_opt_a.j_node_and_user_rematch : 0.000351s : 0.02% jit_opt_a.meta_fg_expand : 0.062842s : 3.59% jit_opt_a.replace_old_param : 0.000661s : 0.04% jit_opt_a.inline_without_move : 0.000535s : 0.03% jit_opt_a.renormalize : 0.144728s : 8.26% jit_opt_a.add_forward_monad_depend : 0.000137s : 0.01% jit_opt_a.auto_monad_grad : 0.000058s : 0.00% jit_opt_a.auto_monad_eliminator : 0.001129s : 0.06% jit_opt_a.cse : 0.001794s : 0.10% jit_opt_a.replace_applicator : 0.000973s : 0.06% py_interpret_to_execute_after_opt_a : 0.000060s : 0.00% rewriter_after_opt_a : 0.000458s : 0.03% convert_after_rewriter : 0.000039s : 0.00% order_py_execute_after_rewriter : 0.000025s : 0.00% mutable_eliminate : 0.000908s : 0.05% jit_opt_b.frontend_op_eliminate : 0.000141s : 0.01% jit_opt_b.inline_after_opt_a : 0.000124s : 0.01% cconv : 0.000055s : 0.00% loop_unroll : 0.000700s : 0.04% jit_opt_after_cconv.c_1 : 0.000292s : 0.02% jit_opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000048s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000032s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000032s : 0.00% jit_opt_after_cconv.cse : 0.000168s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000115s : 0.01% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000045s : 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 : 0.000163s : 0.01% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000039s : 0.00% add_recomputation : 0.000286s : 0.02% cse_after_recomputation.cse : 0.000153s : 0.01% auto_monad_reorder : 0.000119s : 0.01% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000374s : 0.02% opt_after_jit_grad : 0.000923s : 0.05% symbol_engine_optimizer.build : 0.000036s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000052s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000083s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000047s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000073s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000175s : 0.01% Time group info: ------[substitution.] 0.027870 1554 0.39% : 0.000108s : 5: substitution.arithmetic_simplify 0.11% : 0.000031s : 3: substitution.cast_eliminate 0.46% : 0.000128s : 51: substitution.depend_value_elim 0.04% : 0.000011s : 32: substitution.elim_not_effective 0.04% : 0.000010s : 4: substitution.environ_get_add_eliminate 0.02% : 0.000004s : 2: substitution.environ_get_depend_swap 0.04% : 0.000010s : 4: substitution.environ_get_eliminate 0.10% : 0.000028s : 4: substitution.environ_get_set_eliminate 0.04% : 0.000010s : 32: substitution.fold_const_symbol 6.77% : 0.001887s : 8: substitution.getattr_setattr_resolve 0.10% : 0.000029s : 44: substitution.graph_param_transform 24.08% : 0.006712s : 174: substitution.inline 0.35% : 0.000098s : 12: substitution.inline_without_move 0.21% : 0.000059s : 147: substitution.j_node_and_user_rematch 0.24% : 0.000068s : 17: substitution.less_batch_normalization 0.13% : 0.000036s : 1: substitution.list_to_tuple_eliminator_ 0.12% : 0.000034s : 30: substitution.load_eliminater 0.37% : 0.000103s : 69: substitution.minmaximum_grad 0.01% : 0.000002s : 1: substitution.opt_reshape 0.12% : 0.000035s : 12: substitution.partial_eliminate 0.10% : 0.000029s : 6: substitution.reduce_eliminate 0.04% : 0.000010s : 5: substitution.redundant_stop_gradient_eliminater 0.31% : 0.000086s : 147: substitution.remove_not_recompute_node 0.76% : 0.000212s : 55: substitution.replace_applicator 0.20% : 0.000055s : 76: substitution.replace_old_param 0.33% : 0.000092s : 14: substitution.reshape_eliminate 0.02% : 0.000006s : 1: substitution.set_cell_output_no_recompute 0.02% : 0.000005s : 3: substitution.split_environ_get_set_with_tuple_value 0.37% : 0.000102s : 34: substitution.switch_simplify 0.03% : 0.000007s : 1: substitution.tile_eliminate 1.30% : 0.000363s : 79: substitution.tuple_list_convert_item_index_to_positive 1.01% : 0.000283s : 88: substitution.tuple_list_get_item_depend_reorder 1.75% : 0.000488s : 167: substitution.tuple_list_get_item_eliminator 0.52% : 0.000144s : 101: substitution.updatestate_pure_node_eliminater 59.52% : 0.016588s : 125: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.450997 2 95.24% : 1.381911s : 1: type_inference.infer 4.76% : 0.069086s : 1: type_inference.specialize ------[replace.] 0.003846 322 0.37% : 0.000014s : 1: replace.arithmetic_simplify 0.89% : 0.000034s : 3: replace.cast_eliminate 1.23% : 0.000047s : 5: replace.depend_value_elim 1.03% : 0.000040s : 2: replace.environ_get_set_eliminate 4.19% : 0.000161s : 6: replace.getattr_setattr_resolve 45.91% : 0.001766s : 174: replace.inline 0.62% : 0.000024s : 1: replace.list_to_tuple_eliminator_ 0.84% : 0.000032s : 2: replace.partial_eliminate 2.94% : 0.000113s : 3: replace.replace_applicator 0.16% : 0.000006s : 1: replace.reshape_eliminate 11.81% : 0.000454s : 34: replace.switch_simplify 3.28% : 0.000126s : 9: replace.tuple_list_get_item_depend_reorder 26.06% : 0.001002s : 79: replace.tuple_list_get_item_eliminator 0.66% : 0.000026s : 2: replace.updatestate_useless_node_eliminater ------[match.] 0.009028 322 0.61% : 0.000055s : 1: match.arithmetic_simplify 0.32% : 0.000029s : 3: match.cast_eliminate 0.09% : 0.000008s : 5: match.depend_value_elim 0.25% : 0.000023s : 2: match.environ_get_set_eliminate 19.72% : 0.001780s : 6: match.getattr_setattr_resolve 73.21% : 0.006609s : 174: match.inline 0.39% : 0.000035s : 1: match.list_to_tuple_eliminator_ 0.18% : 0.000017s : 2: match.partial_eliminate 0.45% : 0.000040s : 3: match.replace_applicator 0.03% : 0.000002s : 1: match.reshape_eliminate 0.98% : 0.000088s : 34: match.switch_simplify 1.24% : 0.000112s : 9: match.tuple_list_get_item_depend_reorder 2.33% : 0.000210s : 79: match.tuple_list_get_item_eliminator 0.21% : 0.000019s : 2: match.updatestate_useless_node_eliminater ------[predicate.] 0.005357 34488 1.49% : 0.000080s : 591: predicate.accumulaten_eliminater 0.28% : 0.000015s : 44: predicate.ad_related_special_op_eliminate 1.47% : 0.000079s : 591: predicate.addn_check_dump 1.55% : 0.000083s : 591: predicate.addn_zero_filter 2.23% : 0.000120s : 592: predicate.arithmetic_simplify 1.74% : 0.000093s : 596: predicate.cast_eliminate 0.11% : 0.000006s : 44: predicate.check_bprop_eliminate 1.47% : 0.000079s : 591: predicate.compare_switch_simplify 1.63% : 0.000088s : 591: predicate.depend_value_elim 1.66% : 0.000089s : 598: predicate.dict_get_item_const_eliminator 1.52% : 0.000081s : 598: predicate.dict_get_item_eliminator 1.47% : 0.000079s : 598: predicate.dict_set_item_eliminator 0.15% : 0.000008s : 44: predicate.dumpgradient_eliminate 0.07% : 0.000004s : 44: predicate.elim_not_effective 0.13% : 0.000007s : 44: predicate.elim_shapecalc_of_broadcastargs 1.46% : 0.000078s : 596: predicate.environ_add_const_eliminate 1.47% : 0.000079s : 598: predicate.environ_get_add_eliminate 1.46% : 0.000078s : 596: predicate.environ_get_depend_swap 1.51% : 0.000081s : 598: predicate.environ_get_eliminate 1.48% : 0.000079s : 598: predicate.environ_get_set_eliminate 0.06% : 0.000003s : 44: predicate.fold_const_symbol 0.56% : 0.000030s : 202: predicate.get_grad_eliminate 0.30% : 0.000016s : 40: predicate.getattr_setattr_resolve 0.06% : 0.000003s : 44: predicate.graph_param_transform 4.77% : 0.000256s : 953: predicate.inline 1.46% : 0.000078s : 408: predicate.inline_without_move 0.28% : 0.000015s : 202: predicate.j_node_and_user_rematch 0.70% : 0.000037s : 212: predicate.less_batch_normalization 1.79% : 0.000096s : 687: predicate.list_to_tuple_eliminator_ 1.99% : 0.000106s : 733: predicate.load_eliminater 0.24% : 0.000013s : 44: predicate.loop_unroll_after_grad 3.69% : 0.000197s : 1178: predicate.loop_unroll_before_grad 1.65% : 0.000088s : 651: predicate.make_slice_get_slice_eliminator 1.45% : 0.000078s : 591: predicate.merge_addn 1.50% : 0.000080s : 592: predicate.minmaximum_grad 0.30% : 0.000016s : 44: predicate.mutable_eliminate 0.12% : 0.000007s : 44: predicate.opt_reshape 2.28% : 0.000122s : 733: predicate.partial_eliminate 1.55% : 0.000083s : 586: predicate.print_const_string_wrapper 1.97% : 0.000105s : 592: predicate.reduce_eliminate 1.80% : 0.000096s : 689: predicate.redundant_stop_gradient_eliminater 0.30% : 0.000016s : 202: predicate.remove_not_recompute_node 2.13% : 0.000114s : 1175: predicate.replace_applicator 0.62% : 0.000033s : 408: predicate.replace_old_param 0.07% : 0.000004s : 44: predicate.reset_defer_inline 1.51% : 0.000081s : 593: predicate.reshape_eliminate 1.54% : 0.000083s : 586: predicate.row_tensor_add_zeros_like 0.14% : 0.000008s : 44: predicate.row_tensor_eliminate 1.50% : 0.000080s : 586: predicate.same_eliminate 0.40% : 0.000021s : 247: predicate.set_cell_output_no_recompute 0.25% : 0.000014s : 88: predicate.special_op_eliminate 0.66% : 0.000035s : 202: predicate.specialize_transform 1.74% : 0.000093s : 586: predicate.split_environ_get_set_with_tuple_value 1.46% : 0.000078s : 586: predicate.stack_unstack_eliminate 0.12% : 0.000007s : 44: predicate.switch_call_monad_eliminater 4.16% : 0.000223s : 865: predicate.switch_defer_inline 2.50% : 0.000134s : 865: predicate.switch_layer_defer_inline 7.44% : 0.000399s : 2155: predicate.switch_simplify 1.59% : 0.000085s : 592: predicate.tile_eliminate 1.49% : 0.000080s : 592: predicate.transpose_eliminate 1.93% : 0.000104s : 598: predicate.tuple_list_convert_item_index_to_positive 1.76% : 0.000094s : 607: predicate.tuple_list_get_item_depend_reorder 3.08% : 0.000165s : 774: predicate.tuple_list_get_item_eliminator 1.98% : 0.000106s : 607: predicate.tuple_list_set_item_eliminator 1.78% : 0.000096s : 686: predicate.tuple_to_list_eliminator_ 1.93% : 0.000104s : 733: predicate.updatestate_pure_node_eliminater 2.69% : 0.000144s : 937: predicate.updatestate_useless_node_eliminater 2.08% : 0.000112s : 586: predicate.value_based_eliminate 0.11% : 0.000006s : 44: predicate.virtual_view_grad_eliminate 0.14% : 0.000008s : 44: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.128827 415 90.73% : 0.116890s : 212: func_graph_cloner_run.FuncGraphClonerGraph 9.27% : 0.011937s : 203: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.989251 106 0.01% : 0.000291s : 1: add_recomputation 0.14% : 0.002807s : 1: auto_monad 0.01% : 0.000124s : 1: auto_monad_reorder 0.02% : 0.000314s : 1: bootstrap 0.00% : 0.000058s : 1: cconv 0.00% : 0.000043s : 1: convert_after_rewriter 0.01% : 0.000183s : 1: cse_after_recomputation 0.00% : 0.000041s : 1: environ_conv 0.04% : 0.000857s : 1: event_method 0.00% : 0.000066s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000186s : 1: graph_reusing 15.18% : 0.302052s : 1: jit_opt_a 0.04% : 0.000867s : 1: jit_opt_after_cconv 0.01% : 0.000294s : 1: jit_opt_b 0.04% : 0.000712s : 1: loop_unroll 0.05% : 0.000922s : 1: mutable_eliminate 3.53% : 0.070275s : 52: opt.transform.jit_opt_a 0.02% : 0.000490s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000255s : 4: opt.transform.jit_opt_b 0.00% : 0.000073s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000085s : 1: opt.transform.mutable_eliminate 0.01% : 0.000168s : 1: opt.transform.opt_after_jit_grad 0.11% : 0.002196s : 4: opt.transform.opt_resolve 0.01% : 0.000251s : 4: opt.transform.symbol_engine_opt 0.05% : 0.000938s : 1: opt_after_jit_grad 0.00% : 0.000029s : 1: order_py_execute_after_rewriter 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000033s : 1: pre_auto_parallel 0.05% : 0.000924s : 1: py_interpret_to_execute 0.00% : 0.000064s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000168s : 1: remove_dup_value 5.02% : 0.099852s : 3: renormalize.infer 2.25% : 0.044805s : 3: renormalize.specialize 0.02% : 0.000380s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000466s : 1: rewriter_after_opt_a 0.25% : 0.005059s : 1: rewriter_before_opt_a 0.02% : 0.000339s : 1: symbol_engine_optimizer 73.02% : 1.452571s : 1: type_inference . [hook] pytest_runtest_teardown:test_mint_optim_fused_adamw_basic_amsgrad[1] tests/st/mint/optim/test_fused_adamw.py::test_mint_optim_fused_adamw_basic_amsgrad[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_amsgrad[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 470.31s (0:07:50) ==================