[WARNING] ME(171177:281473318367024,MainProcess):2026-01-29-17:39:43.727.045 [mindspore/graph/_mark_deprecated.py:40] Module 'mindspore.common.api' is deprecated from version 2.9.0 and will be removed in a future version, use 'mindspore.graph.api' instead. ==================================================Ascend ============================= test session starts ============================== platform linux -- Python 3.9.19, pytest-6.2.5, py-1.11.0, pluggy-1.5.0 rootdir: /home/jenkins/mindspore/testcases/testcases/tests/st/mint/optim, configfile: ../../../../../../../sault/virtual_test/virtualenv_004/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 2 items test_fused_adamw.py ........[WARNING] ANALYZER(171177,ffff9d27af30,python3.9):2026-01-29-17:44:08.665.323 [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 = 7.56006, [33] [bootstrap]: 0.00060834 [type_inference]: 4.10364 [event_method]: 0.00036381 [auto_monad]: 0.00250272 [graph_reusing]: 0.00013997 [pre_auto_parallel]: 3.328e-05 [py_interpret_to_execute]: 0.00051038 [rewriter_before_opt_a]: 0.0524358 [expand_dump_flag]: 5.648e-05 [jit_opt_a]: 0.75812, [4] [Cycle 1]: 0.610645, [27] [switch_simplify]: 0.00146897 [loop_unroll]: 0.00069224 [a_1]: 0.146704 [with_stream_mark]: 0.00018151 [recompute_prepare]: 0.00012042 [updatestate_depend_eliminate]: 0.0006022 [updatestate_assign_eliminate]: 5.072e-05 [updatestate_loads_eliminate]: 0.00012367 [parameter_eliminate]: 5.72999e-06 [specialize_transform]: 7.808e-05 [updatestate_useless_node_eliminater]: 9.776e-05 [accelerated_algorithm]: 0.00013294 [meta_shard_fg_expand]: 3.869e-05 [get_grad_eliminate_]: 6.235e-05 [merge_forward]: 3.554e-05 [cell_reuse_recompute_pass]: 2.25002e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.0001303 [j_node_and_user_rematch]: 0.00011499 [meta_fg_expand]: 0.183139 [replace_old_param]: 0.00039649 [inline_without_move]: 0.00036798 [renormalize]: 0.273079 [add_forward_monad_depend]: 0.00017923 [auto_monad_grad]: 3.896e-05 [auto_monad_eliminator]: 0.0005254 [cse]: 0.00113158 [replace_applicator]: 0.00064857 [Cycle 2]: 0.102871, [27] [switch_simplify]: 0.00038934 [loop_unroll]: 0.00033345 [a_1]: 0.0101627 [with_stream_mark]: 0.00027385 [recompute_prepare]: 0.00011652 [updatestate_depend_eliminate]: 0.00010996 [updatestate_assign_eliminate]: 3.927e-05 [updatestate_loads_eliminate]: 0.00012372 [parameter_eliminate]: 3.26001e-06 [specialize_transform]: 5.901e-05 [updatestate_useless_node_eliminater]: 0.0001349 [accelerated_algorithm]: 6.157e-05 [meta_shard_fg_expand]: 2.706e-05 [get_grad_eliminate_]: 4.897e-05 [merge_forward]: 3.039e-05 [cell_reuse_recompute_pass]: 4.07003e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.682e-05 [j_node_and_user_rematch]: 8.274e-05 [meta_fg_expand]: 0.00093068 [replace_old_param]: 8.735e-05 [inline_without_move]: 5.031e-05 [renormalize]: 0.00918237 [add_forward_monad_depend]: 1.437e-05 [auto_monad_grad]: 3.78999e-06 [auto_monad_eliminator]: 0.00017 [cse]: 0.00019231 [replace_applicator]: 7.043e-05 [Cycle 3]: 0.0340956, [27] [switch_simplify]: 4.534e-05 [loop_unroll]: 4.401e-05 [a_1]: 0.00141785 [with_stream_mark]: 4.456e-05 [recompute_prepare]: 4.553e-05 [updatestate_depend_eliminate]: 3.087e-05 [updatestate_assign_eliminate]: 3.003e-05 [updatestate_loads_eliminate]: 3.253e-05 [parameter_eliminate]: 2.19001e-06 [specialize_transform]: 4.456e-05 [updatestate_useless_node_eliminater]: 6.17e-05 [accelerated_algorithm]: 5.343e-05 [meta_shard_fg_expand]: 1.091e-05 [get_grad_eliminate_]: 4.154e-05 [merge_forward]: 5.564e-05 [cell_reuse_recompute_pass]: 3.89002e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.447e-05 [j_node_and_user_rematch]: 7.611e-05 [meta_fg_expand]: 1.898e-05 [replace_old_param]: 5.566e-05 [inline_without_move]: 4.37e-05 [renormalize]: 0.0312367 [add_forward_monad_depend]: 1.228e-05 [auto_monad_grad]: 2.47001e-06 [auto_monad_eliminator]: 0.00012273 [cse]: 0.0001895 [replace_applicator]: 6.782e-05 [Cycle 4]: 0.00252679, [27] [switch_simplify]: 4.478e-05 [loop_unroll]: 4.325e-05 [a_1]: 0.00131355 [with_stream_mark]: 4.062e-05 [recompute_prepare]: 4.333e-05 [updatestate_depend_eliminate]: 3.008e-05 [updatestate_assign_eliminate]: 3.032e-05 [updatestate_loads_eliminate]: 2.995e-05 [parameter_eliminate]: 2.04e-06 [specialize_transform]: 4.451e-05 [updatestate_useless_node_eliminater]: 6.147e-05 [accelerated_algorithm]: 5.354e-05 [meta_shard_fg_expand]: 1.017e-05 [get_grad_eliminate_]: 4.267e-05 [merge_forward]: 2.592e-05 [cell_reuse_recompute_pass]: 4.09002e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.358e-05 [j_node_and_user_rematch]: 7.793e-05 [meta_fg_expand]: 1.882e-05 [replace_old_param]: 5.483e-05 [inline_without_move]: 4.333e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 2.68003e-06 [auto_monad_grad]: 1.55999e-06 [auto_monad_eliminator]: 7.838e-05 [cse]: 0.00013004 [replace_applicator]: 4.558e-05 [py_interpret_to_execute_after_opt_a]: 5.436e-05 [rewriter_after_opt_a]: 0.00042548 [convert_after_rewriter]: 5.908e-05 [order_py_execute_after_rewriter]: 2.53e-05 [mutable_eliminate]: 0.00087872 [jit_opt_b]: 0.00027548, [1] [Cycle 1]: 0.0002666, [2] [frontend_op_eliminate]: 0.00013279 [inline_after_opt_a]: 0.00011897 [cconv]: 4.658e-05 [loop_unroll]: 0.00055411 [jit_opt_after_cconv]: 0.00080258, [1] [Cycle 1]: 0.00079298, [11] [c_1]: 0.00026473 [parameter_eliminate]: 4.60001e-06 [updatestate_depend_eliminate]: 3.804e-05 [updatestate_assign_eliminate]: 3.221e-05 [updatestate_loads_eliminate]: 3.099e-05 [cse]: 0.00014752 [call_graph_tuple_transform]: 0.00011333 [tuple_list_get_item_eliminator]: 4.411e-05 [none_parameter_eliminate]: 2.24999e-06 [renormalize]: 5.60016e-07 [switch_simplify]: 4.286e-05 [remove_dup_value]: 0.00014167 [partial_unused_args_eliminate]: 2.84001e-06 [environ_conv]: 4.28e-05 [add_recomputation]: 0.00029379 [cse_after_recomputation]: 0.00013913, [1] [Cycle 1]: 0.0001301, [1] [cse]: 0.00011849 [auto_monad_reorder]: 0.00012099 [get_jit_bprop_graph]: 2.16e-06 [rewriter_after_jit_bprop_graph]: 5.09998e-06 [opt_after_jit_grad]: 0.00071433 [symbol_engine_optimizer]: 0.00032944, [1] [Cycle 1]: 0.00032213, [6] [build]: 2.647e-05 [elim_shapecalc]: 5.264e-05 [elim_not_effective]: 7.968e-05 [opt_reshape]: 4.668e-05 [fold_const_symbol]: 8.007e-05 [renormalize]: 6.19999e-07 [validate]: 0.00021299 [backend_pass]: 1.40999e-06 [task_emit]: 2.63601 [execute]: 1.03e-05 Sums bootstrap : 0.000608s : 0.01% type_inference : 4.103640s : 54.93% event_method : 0.000364s : 0.00% auto_monad : 0.002503s : 0.03% graph_reusing : 0.000140s : 0.00% pre_auto_parallel : 0.000033s : 0.00% py_interpret_to_execute : 0.000510s : 0.01% rewriter_before_opt_a : 0.052436s : 0.70% expand_dump_flag : 0.000056s : 0.00% jit_opt_a.switch_simplify : 0.001948s : 0.03% jit_opt_a.loop_unroll : 0.001113s : 0.01% jit_opt_a.a_1 : 0.159598s : 2.14% jit_opt_a.with_stream_mark : 0.000541s : 0.01% jit_opt_a.recompute_prepare : 0.000326s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000773s : 0.01% jit_opt_a.updatestate_assign_eliminate : 0.000150s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000310s : 0.00% jit_opt_a.parameter_eliminate : 0.000013s : 0.00% jit_opt_a.specialize_transform : 0.000226s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000356s : 0.00% jit_opt_a.accelerated_algorithm : 0.000301s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000087s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000196s : 0.00% jit_opt_a.merge_forward : 0.000147s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000014s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000395s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000352s : 0.00% jit_opt_a.meta_fg_expand : 0.184107s : 2.46% jit_opt_a.replace_old_param : 0.000594s : 0.01% jit_opt_a.inline_without_move : 0.000505s : 0.01% jit_opt_a.renormalize : 0.313498s : 4.20% jit_opt_a.add_forward_monad_depend : 0.000209s : 0.00% jit_opt_a.auto_monad_grad : 0.000047s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000897s : 0.01% jit_opt_a.cse : 0.001643s : 0.02% jit_opt_a.replace_applicator : 0.000832s : 0.01% py_interpret_to_execute_after_opt_a : 0.000054s : 0.00% rewriter_after_opt_a : 0.000425s : 0.01% convert_after_rewriter : 0.000059s : 0.00% order_py_execute_after_rewriter : 0.000025s : 0.00% mutable_eliminate : 0.000879s : 0.01% jit_opt_b.frontend_op_eliminate : 0.000133s : 0.00% jit_opt_b.inline_after_opt_a : 0.000119s : 0.00% cconv : 0.000047s : 0.00% loop_unroll : 0.000554s : 0.01% jit_opt_after_cconv.c_1 : 0.000265s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000038s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000032s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000031s : 0.00% jit_opt_after_cconv.cse : 0.000148s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000113s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000044s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000043s : 0.00% remove_dup_value : 0.000142s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000043s : 0.00% add_recomputation : 0.000294s : 0.00% cse_after_recomputation.cse : 0.000118s : 0.00% auto_monad_reorder : 0.000121s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000005s : 0.00% opt_after_jit_grad : 0.000714s : 0.01% symbol_engine_optimizer.build : 0.000026s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000053s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000080s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000047s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000080s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000213s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 2.636007s : 35.29% execute : 0.000010s : 0.00% Time group info: ------[substitution.] 0.138942 1515 0.07% : 0.000096s : 5: substitution.arithmetic_simplify 0.02% : 0.000024s : 3: substitution.cast_eliminate 0.08% : 0.000115s : 50: substitution.depend_value_elim 0.01% : 0.000011s : 32: substitution.elim_not_effective 0.01% : 0.000009s : 4: substitution.environ_get_add_eliminate 0.00% : 0.000004s : 2: substitution.environ_get_depend_swap 0.01% : 0.000009s : 4: substitution.environ_get_eliminate 0.04% : 0.000051s : 4: substitution.environ_get_set_eliminate 0.01% : 0.000011s : 32: substitution.fold_const_symbol 1.21% : 0.001678s : 8: substitution.getattr_setattr_resolve 0.02% : 0.000028s : 43: substitution.graph_param_transform 96.82% : 0.134520s : 170: substitution.inline 0.07% : 0.000091s : 12: substitution.inline_without_move 0.04% : 0.000058s : 147: substitution.j_node_and_user_rematch 0.05% : 0.000065s : 17: substitution.less_batch_normalization 0.02% : 0.000025s : 1: substitution.list_to_tuple_eliminator_ 0.02% : 0.000026s : 30: substitution.load_eliminater 0.07% : 0.000099s : 66: substitution.minmaximum_grad 0.00% : 0.000001s : 1: substitution.opt_reshape 0.03% : 0.000038s : 12: substitution.partial_eliminate 0.02% : 0.000026s : 6: substitution.reduce_eliminate 0.00% : 0.000006s : 4: substitution.redundant_stop_gradient_eliminater 0.06% : 0.000081s : 147: substitution.remove_not_recompute_node 0.13% : 0.000182s : 55: substitution.replace_applicator 0.04% : 0.000051s : 72: substitution.replace_old_param 0.06% : 0.000090s : 14: substitution.reshape_eliminate 0.00% : 0.000005s : 1: substitution.set_cell_output_no_recompute 0.00% : 0.000005s : 3: substitution.split_environ_get_set_with_tuple_value 0.06% : 0.000080s : 33: substitution.switch_simplify 0.00% : 0.000007s : 1: substitution.tile_eliminate 0.24% : 0.000329s : 76: substitution.tuple_list_convert_item_index_to_positive 0.18% : 0.000254s : 83: substitution.tuple_list_get_item_depend_reorder 0.33% : 0.000457s : 160: substitution.tuple_list_get_item_eliminator 0.09% : 0.000118s : 97: substitution.updatestate_pure_node_eliminater 0.21% : 0.000291s : 120: substitution.updatestate_useless_node_eliminater ------[type_inference.] 4.102811 2 93.80% : 3.848592s : 1: type_inference.infer 6.20% : 0.254220s : 1: type_inference.specialize ------[replace.] 0.003611 312 0.25% : 0.000009s : 1: replace.arithmetic_simplify 0.64% : 0.000023s : 3: replace.cast_eliminate 1.10% : 0.000040s : 5: replace.depend_value_elim 1.14% : 0.000041s : 2: replace.environ_get_set_eliminate 3.92% : 0.000142s : 6: replace.getattr_setattr_resolve 45.67% : 0.001649s : 170: replace.inline 0.49% : 0.000018s : 1: replace.list_to_tuple_eliminator_ 0.90% : 0.000032s : 2: replace.partial_eliminate 2.44% : 0.000088s : 3: replace.replace_applicator 0.19% : 0.000007s : 1: replace.reshape_eliminate 11.82% : 0.000427s : 33: replace.switch_simplify 2.80% : 0.000101s : 7: replace.tuple_list_get_item_depend_reorder 28.11% : 0.001015s : 77: replace.tuple_list_get_item_eliminator 0.52% : 0.000019s : 1: replace.updatestate_useless_node_eliminater ------[match.] 0.136558 312 0.04% : 0.000048s : 1: match.arithmetic_simplify 0.02% : 0.000021s : 3: match.cast_eliminate 0.01% : 0.000007s : 5: match.depend_value_elim 0.03% : 0.000046s : 2: match.environ_get_set_eliminate 1.15% : 0.001576s : 6: match.getattr_setattr_resolve 98.43% : 0.134409s : 170: match.inline 0.02% : 0.000024s : 1: match.list_to_tuple_eliminator_ 0.01% : 0.000018s : 2: match.partial_eliminate 0.02% : 0.000032s : 3: match.replace_applicator 0.00% : 0.000002s : 1: match.reshape_eliminate 0.05% : 0.000065s : 33: match.switch_simplify 0.07% : 0.000091s : 7: match.tuple_list_get_item_depend_reorder 0.15% : 0.000200s : 77: match.tuple_list_get_item_eliminator 0.01% : 0.000017s : 1: match.updatestate_useless_node_eliminater ------[predicate.] 0.004955 33167 1.49% : 0.000074s : 566: predicate.accumulaten_eliminater 0.20% : 0.000010s : 43: predicate.ad_related_special_op_eliminate 1.50% : 0.000074s : 566: predicate.addn_check_dump 1.52% : 0.000075s : 566: predicate.addn_zero_filter 2.06% : 0.000102s : 567: predicate.arithmetic_simplify 1.56% : 0.000077s : 571: predicate.cast_eliminate 0.13% : 0.000006s : 43: predicate.check_bprop_eliminate 1.48% : 0.000073s : 566: predicate.compare_switch_simplify 1.63% : 0.000081s : 566: predicate.depend_value_elim 1.49% : 0.000074s : 573: predicate.dict_get_item_const_eliminator 1.55% : 0.000077s : 573: predicate.dict_get_item_eliminator 1.54% : 0.000076s : 573: predicate.dict_set_item_eliminator 0.15% : 0.000008s : 43: predicate.dumpgradient_eliminate 0.07% : 0.000004s : 43: predicate.elim_not_effective 0.15% : 0.000007s : 43: predicate.elim_shapecalc_of_broadcastargs 1.53% : 0.000076s : 571: predicate.environ_add_const_eliminate 1.52% : 0.000075s : 573: predicate.environ_get_add_eliminate 1.50% : 0.000074s : 571: predicate.environ_get_depend_swap 1.92% : 0.000095s : 573: predicate.environ_get_eliminate 1.53% : 0.000076s : 573: predicate.environ_get_set_eliminate 0.07% : 0.000003s : 43: predicate.fold_const_symbol 0.56% : 0.000028s : 198: predicate.get_grad_eliminate 0.29% : 0.000014s : 40: predicate.getattr_setattr_resolve 0.07% : 0.000004s : 43: predicate.graph_param_transform 4.18% : 0.000207s : 917: predicate.inline 1.36% : 0.000067s : 404: predicate.inline_without_move 0.28% : 0.000014s : 198: predicate.j_node_and_user_rematch 0.71% : 0.000035s : 208: predicate.less_batch_normalization 1.87% : 0.000093s : 658: predicate.list_to_tuple_eliminator_ 1.96% : 0.000097s : 703: predicate.load_eliminater 0.19% : 0.000010s : 43: predicate.loop_unroll_after_grad 3.87% : 0.000192s : 1143: predicate.loop_unroll_before_grad 1.71% : 0.000085s : 623: predicate.make_slice_get_slice_eliminator 1.47% : 0.000073s : 566: predicate.merge_addn 1.56% : 0.000077s : 567: predicate.minmaximum_grad 0.22% : 0.000011s : 43: predicate.mutable_eliminate 0.13% : 0.000006s : 43: predicate.opt_reshape 2.41% : 0.000120s : 703: predicate.partial_eliminate 1.48% : 0.000073s : 561: predicate.print_const_string_wrapper 1.96% : 0.000097s : 567: predicate.reduce_eliminate 1.83% : 0.000091s : 660: predicate.redundant_stop_gradient_eliminater 0.30% : 0.000015s : 198: predicate.remove_not_recompute_node 2.21% : 0.000110s : 1142: predicate.replace_applicator 0.63% : 0.000031s : 404: predicate.replace_old_param 0.08% : 0.000004s : 43: predicate.reset_defer_inline 1.53% : 0.000076s : 568: predicate.reshape_eliminate 1.51% : 0.000075s : 561: predicate.row_tensor_add_zeros_like 0.14% : 0.000007s : 43: predicate.row_tensor_eliminate 1.54% : 0.000076s : 561: predicate.same_eliminate 0.42% : 0.000021s : 240: predicate.set_cell_output_no_recompute 0.25% : 0.000012s : 86: predicate.special_op_eliminate 0.66% : 0.000033s : 198: predicate.specialize_transform 1.71% : 0.000085s : 561: predicate.split_environ_get_set_with_tuple_value 1.49% : 0.000074s : 561: predicate.stack_unstack_eliminate 0.13% : 0.000006s : 43: predicate.switch_call_monad_eliminater 4.03% : 0.000200s : 831: predicate.switch_defer_inline 2.49% : 0.000123s : 831: predicate.switch_layer_defer_inline 7.25% : 0.000359s : 2083: predicate.switch_simplify 1.55% : 0.000077s : 567: predicate.tile_eliminate 1.51% : 0.000075s : 567: predicate.transpose_eliminate 2.02% : 0.000100s : 573: predicate.tuple_list_convert_item_index_to_positive 1.80% : 0.000089s : 580: predicate.tuple_list_get_item_depend_reorder 3.00% : 0.000149s : 743: predicate.tuple_list_get_item_eliminator 1.87% : 0.000092s : 580: predicate.tuple_list_set_item_eliminator 1.77% : 0.000088s : 657: predicate.tuple_to_list_eliminator_ 2.00% : 0.000099s : 703: predicate.updatestate_pure_node_eliminater 3.19% : 0.000158s : 902: predicate.updatestate_useless_node_eliminater 1.91% : 0.000095s : 561: predicate.value_based_eliminate 0.13% : 0.000006s : 43: predicate.virtual_view_grad_eliminate 0.14% : 0.000007s : 43: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.160375 407 93.70% : 0.150277s : 208: func_graph_cloner_run.FuncGraphClonerGraph 6.30% : 0.010098s : 199: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 8.015134 110 0.00% : 0.000300s : 1: add_recomputation 0.03% : 0.002516s : 1: auto_monad 0.00% : 0.000125s : 1: auto_monad_reorder 0.00% : 0.000006s : 1: backend_pass 0.01% : 0.000633s : 1: bootstrap 0.00% : 0.000050s : 1: cconv 0.00% : 0.000064s : 1: convert_after_rewriter 0.00% : 0.000142s : 1: cse_after_recomputation 0.00% : 0.000045s : 1: environ_conv 0.00% : 0.000374s : 1: event_method 0.00% : 0.000016s : 1: execute 0.00% : 0.000062s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000146s : 1: graph_reusing 9.46% : 0.758124s : 1: jit_opt_a 0.01% : 0.000806s : 1: jit_opt_after_cconv 0.00% : 0.000279s : 1: jit_opt_b 0.01% : 0.000564s : 1: loop_unroll 0.01% : 0.000890s : 1: mutable_eliminate 2.08% : 0.166597s : 52: opt.transform.jit_opt_a 0.01% : 0.000460s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000243s : 4: opt.transform.jit_opt_b 0.00% : 0.000057s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000065s : 1: opt.transform.mutable_eliminate 0.00% : 0.000153s : 1: opt.transform.opt_after_jit_grad 0.02% : 0.001957s : 4: opt.transform.opt_resolve 0.00% : 0.000255s : 4: opt.transform.symbol_engine_opt 0.01% : 0.000724s : 1: opt_after_jit_grad 0.00% : 0.000028s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000037s : 1: pre_auto_parallel 0.01% : 0.000519s : 1: py_interpret_to_execute 0.00% : 0.000058s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000146s : 1: remove_dup_value 1.94% : 0.155376s : 3: renormalize.infer 1.62% : 0.130020s : 3: renormalize.specialize 0.00% : 0.000007s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000433s : 1: rewriter_after_opt_a 0.65% : 0.052466s : 1: rewriter_before_opt_a 0.00% : 0.000332s : 1: symbol_engine_optimizer 32.89% : 2.636031s : 1: task_emit 51.20% : 4.103665s : 1: type_inference 0.00% : 0.000356s : 1: validate . TotalTime = 0.524215, [24] [bootstrap]: 0.0010348 [type_inference]: 0.363775 [event_method]: 0.00031751 [auto_monad]: 0.0003443 [graph_reusing]: 9.47001e-06 [inline]: 1.96998e-06 [add_attr]: 0.0488192, [1] [add_attr_with_inline]: 0.0487733, [1] [Cycle 1]: 0.04423, [2] [tag_attr]: 8.743e-05 [meta_addattr_fg_expand]: 0.0440664 [parallel-infer-symbol]: 6.53e-06 [pre_auto_parallel]: 0.00010896 [insert-virtual-dataset]: 2.77002e-06 [parallel-infer-symbol-second]: 6.90023e-07 [dataset_repeat_opt]: 3.17002e-06 [pipeline_split]: 1.68002e-06 [optimize]: 0.0122701, [53] [py_interpret_to_execute]: 7.4e-05 [rewriter_before_opt_a]: 0.00016809 [opt_a]: 0.008409, [2] [Cycle 1]: 0.00673581, [45] [expand_dump_flag]: 5.05001e-06 [switch_simplify]: 0.00017357 [loop_unroll]: 6.65e-05 [a_1]: 0.00188837 [with_stream_mark]: 3.379e-05 [recompute_prepare]: 2.957e-05 [updatestate_depend_eliminate]: 8.081e-05 [updatestate_assign_eliminate]: 1.003e-05 [updatestate_loads_eliminate]: 6.587e-05 [parameter_eliminate]: 2.88e-06 [a_2]: 0.00024017 [accelerated_algorithm]: 4.651e-05 [shard]: 2.31e-06 [meta_shard_fg_expand]: 4.99e-06 [shard_inline]: 1.77e-05 [merge_send_recv]: 3.824e-05 [auto_parallel]: 1.566e-05 [parallel]: 0.00011625 [flash_sp]: 2.366e-05 [merge_comm]: 1.111e-05 [allreduce_fusion]: 8.82e-06 [matmul_add_comm_reduction]: 1.829e-05 [allreduce_slice_to_reducescatter]: 9.00007e-07 [virtual_shard_identity]: 2.415e-05 [virtual_dataset]: 1.579e-05 [get_grad_eliminate_]: 1.61e-05 [virtual_output]: 1.43e-05 [merge_forward]: 1.024e-05 [cell_reuse_recompute_pass]: 2.26e-06 [offload_activation]: 1.984e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.64e-05 [merge_recompute_call_nodes]: 1.50999e-06 [before_grad]: 2.686e-05 [set_forward_comm_id_for_comm_node_pass]: 9.89999e-06 [meta_fg_expand]: 7.25e-06 [flash_sp_send_recv_attached]: 6.34999e-06 [receive_attached]: 6.426e-05 [after_resolve]: 2.65e-05 [a_after_grad]: 2.772e-05 [renormalize]: 0.00261415 [add_forward_monad_depend]: 1.067e-05 [auto_monad_grad]: 2.46e-06 [auto_monad_eliminator]: 6.034e-05 [cse]: 0.00031096 [a_3]: 0.00012436 [Cycle 2]: 0.00165105, [45] [expand_dump_flag]: 3.76999e-06 [switch_simplify]: 1.885e-05 [loop_unroll]: 1.507e-05 [a_1]: 0.00042513 [with_stream_mark]: 2.487e-05 [recompute_prepare]: 1.706e-05 [updatestate_depend_eliminate]: 1.008e-05 [updatestate_assign_eliminate]: 1.093e-05 [updatestate_loads_eliminate]: 1.381e-05 [parameter_eliminate]: 1.99e-06 [a_2]: 0.00030879 [accelerated_algorithm]: 2.526e-05 [shard]: 2.24999e-06 [meta_shard_fg_expand]: 4.81002e-06 [shard_inline]: 1.478e-05 [merge_send_recv]: 1.518e-05 [auto_parallel]: 1.556e-05 [parallel]: 9.51e-06 [flash_sp]: 4.17e-06 [merge_comm]: 8.70999e-06 [allreduce_fusion]: 8.10999e-06 [matmul_add_comm_reduction]: 1.969e-05 [allreduce_slice_to_reducescatter]: 7.29982e-07 [virtual_shard_identity]: 1.62e-05 [virtual_dataset]: 1.393e-05 [get_grad_eliminate_]: 1.443e-05 [virtual_output]: 1.39e-05 [merge_forward]: 8.25e-06 [cell_reuse_recompute_pass]: 3.69002e-06 [offload_activation]: 1.849e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.924e-05 [merge_recompute_call_nodes]: 1.64998e-06 [before_grad]: 2.56e-05 [set_forward_comm_id_for_comm_node_pass]: 8.99998e-06 [meta_fg_expand]: 6.29999e-06 [flash_sp_send_recv_attached]: 2.24999e-06 [receive_attached]: 2.62001e-06 [after_resolve]: 2.257e-05 [a_after_grad]: 2.28e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 3.36999e-06 [auto_monad_grad]: 2.97002e-06 [auto_monad_eliminator]: 4.593e-05 [cse]: 5.543e-05 [a_3]: 9.481e-05 [py_interpret_to_execute_after_opt_a]: 2.914e-05 [slice_cell_reuse_recomputed_activation]: 2.73e-06 [rewriter_after_opt_a]: 0.00020552 [convert_after_rewriter]: 1.515e-05 [order_py_execute_after_rewriter]: 1.131e-05 [mutable_eliminate]: 0.00082711 [opt_b]: 0.00051016, [1] [Cycle 1]: 0.00050044, [7] [b_1]: 0.00034662 [b_2]: 1.754e-05 [updatestate_depend_eliminate]: 1.465e-05 [updatestate_assign_eliminate]: 8.97e-06 [updatestate_loads_eliminate]: 1.345e-05 [renormalize]: 9.50007e-07 [cse]: 5.564e-05 [optimize_parallel_all_gather_comm]: 3.069e-05 [overlap_param_gather]: 6.14001e-06 [cconv]: 3.76e-05 [loop_unroll]: 0.00052625 [opt_after_cconv]: 0.00024039, [1] [Cycle 1]: 0.0002319, [7] [c_1]: 0.00010288 [parameter_eliminate]: 4.10998e-06 [updatestate_depend_eliminate]: 1.312e-05 [updatestate_assign_eliminate]: 8.30999e-06 [updatestate_loads_eliminate]: 1.12e-05 [cse]: 4.882e-05 [renormalize]: 8.00006e-07 [remove_dup_value]: 6.548e-05 [tuple_transform]: 0.00015634, [1] [Cycle 1]: 0.00015002, [4] [d_1]: 0.00010429 [none_parameter_eliminate]: 2.39001e-06 [renormalize]: 1.50001e-07 [switch_simplify]: 1.638e-05 [partial_unused_args_eliminate]: 1.79e-06 [add_recomputation]: 0.00017144 [cse_after_recomputation]: 7.722e-05, [1] [Cycle 1]: 7.056e-05, [1] [cse]: 4.453e-05 [environ_conv]: 1.525e-05 [swap_dp_allreduce_reducescatter]: 1.297e-05 [bias_add_comm_swap]: 2.79001e-06 [label_micro_interleaved_index]: 4.90001e-06 [label_fine_grained_interleaved_index]: 2.93e-06 [merge_cast_opt]: 1.39e-06 [slice_recompute_activation]: 2.17001e-06 [micro_interleaved_order_control]: 2.16998e-06 [assign_add_opt]: 1.45999e-06 [ForceFp32Comm]: 1.07e-06 [remove_cast_before_assign_add]: 1.60999e-06 [full_micro_interleaved_order_control]: 2.09999e-06 [reorder_send_recv_between_fp_bp]: 2.80002e-06 [comm_op_add_attrs]: 1.07e-06 [add_comm_op_reuse_tag]: 1.02e-06 [interleave_split_concat_branches]: 1.19003e-06 [interleave_parallel_branches]: 1.02998e-06 [overlap_opt_shard_in_pipeline]: 4.387e-05 [overlap_opt_shard_grad_in_pipeline]: 2.03997e-06 [control_data_broadcast_order]: 3.071e-05 [grouped_pairwise_exchange_alltoall]: 1.44e-06 [offloading_packed_experts]: 7.8e-06 [overlap_recompute_and_grad_model_parallel]: 8.08999e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.14998e-06 [overlap_recompute_allgather_and_fa_grad]: 1.29e-06 [overlap_recompute_comm]: 2.36e-06 [overlap_grad_ring_attention]: 7.33e-06 [overlap_grad_flash_sp]: 4.138e-05 [begin_end_overlap_inline]: 5.39992e-07 [split_matmul_comm_elemetwise]: 2.16998e-06 [split_layernorm_comm]: 1.74e-06 [handle_group_info]: 1.10001e-06 [symbol_engine_optimizer]: 0.00015011, [1] [Cycle 1]: 0.00014456, [6] [build]: 1.388e-05 [elim_shapecalc]: 2.463e-05 [elim_not_effective]: 2.95e-05 [opt_reshape]: 1.621e-05 [fold_const_symbol]: 2.51e-05 [renormalize]: 2.80008e-07 [detach_backward]: 2.17001e-06 [pipeline_parallel_scheduler]: 1.45999e-06 [auto_monad_reorder]: 5.51e-05 [get_jit_bprop_graph]: 2.37001e-06 [rewriter_after_jit_bprop_graph]: 5.52001e-06 [opt_after_jit_grad]: 0.00062625 [validate]: 6.89e-05 [backend_pass]: 1.11002e-06 [task_emit]: 0.0963413 [execute]: 9.14e-06 Sums bootstrap : 0.001035s : 0.20% type_inference : 0.363775s : 70.24% event_method : 0.000318s : 0.06% auto_monad : 0.000344s : 0.07% graph_reusing : 0.000009s : 0.00% inline : 0.000002s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000087s : 0.02% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.044066s : 8.51% parallel-infer-symbol : 0.000007s : 0.00% pre_auto_parallel : 0.000109s : 0.02% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000003s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000074s : 0.01% optimize.rewriter_before_opt_a : 0.000168s : 0.03% optimize.opt_a.expand_dump_flag : 0.000009s : 0.00% optimize.opt_a.switch_simplify : 0.000192s : 0.04% optimize.opt_a.loop_unroll : 0.000082s : 0.02% optimize.opt_a.a_1 : 0.002313s : 0.45% optimize.opt_a.with_stream_mark : 0.000059s : 0.01% optimize.opt_a.recompute_prepare : 0.000047s : 0.01% optimize.opt_a.updatestate_depend_eliminate : 0.000091s : 0.02% optimize.opt_a.updatestate_assign_eliminate : 0.000021s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000080s : 0.02% optimize.opt_a.parameter_eliminate : 0.000005s : 0.00% optimize.opt_a.a_2 : 0.000549s : 0.11% optimize.opt_a.accelerated_algorithm : 0.000072s : 0.01% optimize.opt_a.shard : 0.000005s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000010s : 0.00% optimize.opt_a.shard_inline : 0.000032s : 0.01% optimize.opt_a.merge_send_recv : 0.000053s : 0.01% optimize.opt_a.auto_parallel : 0.000031s : 0.01% optimize.opt_a.parallel : 0.000126s : 0.02% optimize.opt_a.flash_sp : 0.000028s : 0.01% optimize.opt_a.merge_comm : 0.000020s : 0.00% optimize.opt_a.allreduce_fusion : 0.000017s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000038s : 0.01% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000040s : 0.01% optimize.opt_a.virtual_dataset : 0.000030s : 0.01% optimize.opt_a.get_grad_eliminate_ : 0.000031s : 0.01% optimize.opt_a.virtual_output : 0.000028s : 0.01% optimize.opt_a.merge_forward : 0.000018s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% optimize.opt_a.offload_activation : 0.000038s : 0.01% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000066s : 0.01% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000052s : 0.01% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000019s : 0.00% optimize.opt_a.meta_fg_expand : 0.000014s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000009s : 0.00% optimize.opt_a.receive_attached : 0.000067s : 0.01% optimize.opt_a.after_resolve : 0.000049s : 0.01% optimize.opt_a.a_after_grad : 0.000051s : 0.01% optimize.opt_a.renormalize : 0.002614s : 0.50% optimize.opt_a.add_forward_monad_depend : 0.000014s : 0.00% optimize.opt_a.auto_monad_grad : 0.000005s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000106s : 0.02% optimize.opt_a.cse : 0.000366s : 0.07% optimize.opt_a.a_3 : 0.000219s : 0.04% optimize.py_interpret_to_execute_after_opt_a : 0.000029s : 0.01% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000206s : 0.04% optimize.convert_after_rewriter : 0.000015s : 0.00% optimize.order_py_execute_after_rewriter : 0.000011s : 0.00% optimize.mutable_eliminate : 0.000827s : 0.16% optimize.opt_b.b_1 : 0.000347s : 0.07% optimize.opt_b.b_2 : 0.000018s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000015s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000009s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000013s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000056s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000031s : 0.01% optimize.overlap_param_gather : 0.000006s : 0.00% optimize.cconv : 0.000038s : 0.01% optimize.loop_unroll : 0.000526s : 0.10% optimize.opt_after_cconv.c_1 : 0.000103s : 0.02% optimize.opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000013s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000008s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000011s : 0.00% optimize.opt_after_cconv.cse : 0.000049s : 0.01% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000065s : 0.01% optimize.tuple_transform.d_1 : 0.000104s : 0.02% 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 : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000171s : 0.03% optimize.cse_after_recomputation.cse : 0.000045s : 0.01% optimize.environ_conv : 0.000015s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000013s : 0.00% optimize.bias_add_comm_swap : 0.000003s : 0.00% optimize.label_micro_interleaved_index : 0.000005s : 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 : 0.000002s : 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 : 0.000044s : 0.01% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000031s : 0.01% optimize.grouped_pairwise_exchange_alltoall : 0.000001s : 0.00% optimize.offloading_packed_experts : 0.000008s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000008s : 0.00% 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 : 0.000002s : 0.00% optimize.overlap_grad_ring_attention : 0.000007s : 0.00% optimize.overlap_grad_flash_sp : 0.000041s : 0.01% 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 : 0.000014s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000025s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000029s : 0.01% optimize.symbol_engine_optimizer.opt_reshape : 0.000016s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000025s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000002s : 0.00% pipeline_parallel_scheduler : 0.000001s : 0.00% auto_monad_reorder : 0.000055s : 0.01% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.00% opt_after_jit_grad : 0.000626s : 0.12% validate : 0.000069s : 0.01% backend_pass : 0.000001s : 0.00% task_emit : 0.096341s : 18.60% execute : 0.000009s : 0.00% Time group info: ------[substitution.] 0.000639 165 1.56% : 0.000010s : 2: substitution.depend_value_elim 0.61% : 0.000004s : 9: substitution.elim_not_effective 0.53% : 0.000003s : 9: substitution.fold_const_symbol 1.74% : 0.000011s : 12: substitution.graph_param_transform 62.44% : 0.000399s : 11: substitution.inline 1.43% : 0.000009s : 18: substitution.j_node_and_user_rematch 3.78% : 0.000024s : 4: substitution.less_batch_normalization 1.28% : 0.000008s : 12: substitution.load_eliminater 2.11% : 0.000013s : 18: substitution.remove_not_recompute_node 1.43% : 0.000009s : 6: substitution.replace_old_param 1.86% : 0.000012s : 2: substitution.switch_simplify 5.34% : 0.000034s : 30: substitution.updatestate_pure_node_eliminater 15.88% : 0.000102s : 32: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.363699 2 99.34% : 0.361284s : 1: type_inference.infer 0.66% : 0.002415s : 1: type_inference.specialize ------[replace.] 0.000162 13 61.94% : 0.000100s : 11: replace.inline 38.06% : 0.000062s : 2: replace.switch_simplify ------[match.] 0.000401 13 97.37% : 0.000390s : 11: match.inline 2.63% : 0.000011s : 2: match.switch_simplify ------[predicate.] 0.000615 4059 1.07% : 0.000007s : 49: predicate.accumulaten_eliminater 0.64% : 0.000004s : 12: predicate.ad_related_special_op_eliminate 0.53% : 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 2.13% : 0.000013s : 73: predicate.arithmetic_simplify 1.12% : 0.000007s : 49: predicate.cast_eliminate 0.54% : 0.000003s : 24: predicate.check_bprop_eliminate 0.64% : 0.000004s : 24: predicate.compare_switch_simplify 0.15% : 0.000001s : 12: predicate.const_output_eliminate 0.56% : 0.000003s : 24: predicate.depend_value_elim 1.17% : 0.000007s : 49: predicate.dict_get_item_const_eliminator 1.21% : 0.000007s : 49: predicate.dict_get_item_eliminator 1.08% : 0.000007s : 49: predicate.dict_set_item_eliminator 0.77% : 0.000005s : 24: predicate.dumpgradient_eliminate 0.16% : 0.000001s : 12: predicate.elim_not_effective 0.41% : 0.000003s : 12: predicate.elim_shapecalc_of_broadcastargs 1.37% : 0.000008s : 61: predicate.environ_add_const_eliminate 1.33% : 0.000008s : 61: predicate.environ_get_add_eliminate 1.31% : 0.000008s : 61: predicate.environ_get_depend_swap 1.85% : 0.000011s : 85: predicate.environ_get_eliminate 1.30% : 0.000008s : 61: predicate.environ_get_set_eliminate 1.35% : 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 0.80% : 0.000005s : 36: predicate.float_tuple_getitem_switch 0.14% : 0.000001s : 12: predicate.fold_const_symbol 0.60% : 0.000004s : 24: predicate.get_grad_eliminate 0.19% : 0.000001s : 12: predicate.graph_param_transform 0.61% : 0.000004s : 24: predicate.incorporate_call 0.48% : 0.000003s : 24: predicate.incorporate_call_switch 5.55% : 0.000034s : 181: predicate.inline 0.80% : 0.000005s : 24: predicate.inline_without_move 0.32% : 0.000002s : 24: predicate.j_node_and_user_rematch 1.01% : 0.000006s : 24: predicate.less_batch_normalization 1.76% : 0.000011s : 73: predicate.list_to_tuple_eliminator_ 2.72% : 0.000017s : 122: predicate.load_eliminater 0.67% : 0.000004s : 12: predicate.loop_unroll_after_grad 1.90% : 0.000012s : 78: predicate.loop_unroll_before_grad 1.70% : 0.000010s : 73: predicate.make_slice_get_slice_eliminator 0.60% : 0.000004s : 24: predicate.merge_addn 0.55% : 0.000003s : 24: predicate.micro_step_allgather_replace 0.53% : 0.000003s : 24: predicate.mini_step_allgather_replace 1.01% : 0.000006s : 49: predicate.minmaximum_grad 0.82% : 0.000005s : 12: predicate.mutable_eliminate 0.29% : 0.000002s : 12: predicate.opt_reshape 0.36% : 0.000002s : 12: predicate.parallel_virtual_node 1.87% : 0.000012s : 60: predicate.partial_defer_inline 1.47% : 0.000009s : 61: predicate.partial_eliminate 1.09% : 0.000007s : 49: predicate.print_const_string_wrapper 0.57% : 0.000004s : 24: predicate.reduce_all_const_elim 1.45% : 0.000009s : 49: predicate.reduce_eliminate 2.66% : 0.000016s : 122: predicate.redundant_stop_gradient_eliminater 0.38% : 0.000002s : 24: predicate.remove_not_recompute_node 1.19% : 0.000007s : 73: predicate.replace_applicator 0.38% : 0.000002s : 24: predicate.replace_old_param 0.25% : 0.000002s : 12: predicate.reset_defer_inline 1.10% : 0.000007s : 49: predicate.reshape_eliminate 0.57% : 0.000003s : 24: predicate.row_tensor_add_zeros_like 0.33% : 0.000002s : 12: predicate.row_tensor_eliminate 0.85% : 0.000005s : 24: predicate.same_eliminate 0.49% : 0.000003s : 32: predicate.set_cell_output_no_recompute 0.78% : 0.000005s : 24: predicate.shard_identity_eliminate 0.64% : 0.000004s : 24: predicate.special_op_eliminate 0.65% : 0.000004s : 24: predicate.specialize_transform 0.81% : 0.000005s : 24: predicate.split_environ_get_set_with_tuple_value 0.79% : 0.000005s : 24: predicate.stack_unstack_eliminate 0.32% : 0.000002s : 12: predicate.switch_call_monad_eliminater 1.41% : 0.000009s : 60: predicate.switch_defer_inline 1.96% : 0.000012s : 84: predicate.switch_layer_defer_inline 4.71% : 0.000029s : 178: predicate.switch_simplify 1.07% : 0.000007s : 49: predicate.tile_eliminate 1.14% : 0.000007s : 49: predicate.transpose_eliminate 1.82% : 0.000011s : 73: predicate.tuple_list_convert_item_index_to_positive 1.78% : 0.000011s : 73: predicate.tuple_list_get_item_const_eliminator 1.67% : 0.000010s : 73: predicate.tuple_list_get_item_depend_reorder 2.83% : 0.000017s : 97: predicate.tuple_list_get_item_eliminator 1.67% : 0.000010s : 73: predicate.tuple_list_get_set_item_eliminator 2.35% : 0.000014s : 97: predicate.tuple_list_set_item_eliminator 1.64% : 0.000010s : 73: predicate.tuple_to_list_eliminator_ 2.84% : 0.000017s : 122: predicate.updatestate_pure_node_eliminater 3.51% : 0.000022s : 146: predicate.updatestate_useless_node_eliminater 0.32% : 0.000002s : 12: predicate.value_based_eliminate 0.60% : 0.000004s : 24: predicate.virtual_dataset_eliminate 0.59% : 0.000004s : 24: predicate.virtual_output_eliminate 0.28% : 0.000002s : 12: predicate.virtual_view_grad_eliminate 0.33% : 0.000002s : 12: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.001613 18 48.29% : 0.000779s : 5: func_graph_cloner_run.FuncGraphClonerGraph 51.71% : 0.000834s : 13: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.592062 196 0.00% : 0.000004s : 1: ForceFp32Comm 8.25% : 0.048828s : 1: add_attr 8.24% : 0.048780s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.03% : 0.000180s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.06% : 0.000359s : 1: auto_monad 0.01% : 0.000061s : 1: auto_monad_reorder 0.00% : 0.000007s : 1: backend_pass 0.00% : 0.000003s : 1: begin_end_overlap_inline 0.00% : 0.000006s : 1: bias_add_comm_swap 0.18% : 0.001063s : 1: bootstrap 0.01% : 0.000041s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.01% : 0.000034s : 1: control_data_broadcast_order 0.00% : 0.000021s : 1: convert_after_rewriter 0.01% : 0.000081s : 1: cse_after_recomputation 0.00% : 0.000006s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.00% : 0.000020s : 1: environ_conv 0.06% : 0.000333s : 1: event_method 0.00% : 0.000016s : 1: execute 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000016s : 1: graph_reusing 0.00% : 0.000004s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000005s : 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% : 0.000008s : 1: label_micro_interleaved_index 0.09% : 0.000538s : 1: loop_unroll 0.00% : 0.000004s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.14% : 0.000842s : 1: mutable_eliminate 0.00% : 0.000011s : 1: offloading_packed_experts 0.00% : 0.000026s : 1: opt.transform.loop_unroll_optimizer 0.01% : 0.000033s : 1: opt.transform.mutable_eliminate 0.63% : 0.003727s : 78: opt.transform.opt_a 0.02% : 0.000101s : 1: opt.transform.opt_after_cconv 0.01% : 0.000053s : 1: opt.transform.opt_after_jit_grad 0.06% : 0.000332s : 28: opt.transform.opt_b 0.02% : 0.000118s : 2: opt.transform.opt_trans_graph 0.02% : 0.000091s : 4: opt.transform.symbol_engine_opt 1.42% : 0.008414s : 1: opt_a 0.04% : 0.000244s : 1: opt_after_cconv 0.11% : 0.000639s : 1: opt_after_jit_grad 0.09% : 0.000514s : 1: opt_b 2.07% : 0.012277s : 1: optimize 0.01% : 0.000034s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000015s : 1: order_py_execute_after_rewriter 0.01% : 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 0.01% : 0.000049s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000010s : 1: overlap_param_gather 0.00% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000011s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000005s : 1: overlap_recompute_comm 0.00% : 0.000013s : 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 0.02% : 0.000115s : 1: pre_auto_parallel 0.01% : 0.000081s : 1: py_interpret_to_execute 0.01% : 0.000033s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.01% : 0.000072s : 1: remove_dup_value 0.26% : 0.001527s : 1: renormalize.infer 0.18% : 0.001072s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.04% : 0.000214s : 1: rewriter_after_opt_a 0.03% : 0.000175s : 1: rewriter_before_opt_a 0.00% : 0.000006s : 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 0.00% : 0.000017s : 1: swap_dp_allreduce_reducescatter 0.03% : 0.000154s : 1: symbol_engine_optimizer 16.28% : 0.096363s : 1: task_emit 0.03% : 0.000159s : 1: tuple_transform 61.45% : 0.363794s : 1: type_inference 0.02% : 0.000124s : 1: validate [WARNING] ME(171177:281473318367024,MainProcess):2026-01-29-17:44:27.230.833 [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(171177,ffff9d27af30,python3.9):2026-01-29-17:44:28.935.716 [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 = 2.08358, [33] [bootstrap]: 0.00036822 [type_inference]: 1.70203 [event_method]: 0.00039906 [auto_monad]: 0.00219722 [graph_reusing]: 0.00013173 [pre_auto_parallel]: 2.105e-05 [py_interpret_to_execute]: 0.00058112 [rewriter_before_opt_a]: 0.00399874 [expand_dump_flag]: 3.246e-05 [jit_opt_a]: 0.281136, [4] [Cycle 1]: 0.205728, [27] [switch_simplify]: 0.00141342 [loop_unroll]: 0.00062165 [a_1]: 0.0385682 [with_stream_mark]: 0.00016203 [recompute_prepare]: 0.00011323 [updatestate_depend_eliminate]: 0.00055976 [updatestate_assign_eliminate]: 4.843e-05 [updatestate_loads_eliminate]: 0.00011466 [parameter_eliminate]: 4.06001e-06 [specialize_transform]: 7.3e-05 [updatestate_useless_node_eliminater]: 9.601e-05 [accelerated_algorithm]: 0.00012658 [meta_shard_fg_expand]: 3.452e-05 [get_grad_eliminate_]: 6.043e-05 [merge_forward]: 3.473e-05 [cell_reuse_recompute_pass]: 1.72001e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00011823 [j_node_and_user_rematch]: 0.00011082 [meta_fg_expand]: 0.0316288 [replace_old_param]: 0.00037276 [inline_without_move]: 0.00036156 [renormalize]: 0.107704 [add_forward_monad_depend]: 0.00010954 [auto_monad_grad]: 3.746e-05 [auto_monad_eliminator]: 0.0209048 [cse]: 0.00113497 [replace_applicator]: 0.00068722 [Cycle 2]: 0.0461312, [27] [switch_simplify]: 0.00032643 [loop_unroll]: 0.00032233 [a_1]: 0.017478 [with_stream_mark]: 0.00017845 [recompute_prepare]: 7.812e-05 [updatestate_depend_eliminate]: 8.997e-05 [updatestate_assign_eliminate]: 3.633e-05 [updatestate_loads_eliminate]: 0.00012001 [parameter_eliminate]: 3.4e-06 [specialize_transform]: 5.994e-05 [updatestate_useless_node_eliminater]: 7.779e-05 [accelerated_algorithm]: 5.904e-05 [meta_shard_fg_expand]: 2.325e-05 [get_grad_eliminate_]: 4.887e-05 [merge_forward]: 3.256e-05 [cell_reuse_recompute_pass]: 2.09e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.822e-05 [j_node_and_user_rematch]: 8.828e-05 [meta_fg_expand]: 0.00107526 [replace_old_param]: 9.492e-05 [inline_without_move]: 5.034e-05 [renormalize]: 0.0249535 [add_forward_monad_depend]: 1.324e-05 [auto_monad_grad]: 3.35998e-06 [auto_monad_eliminator]: 0.00014721 [cse]: 0.00020171 [replace_applicator]: 6.886e-05 [Cycle 3]: 0.0218353, [27] [switch_simplify]: 4.606e-05 [loop_unroll]: 4.597e-05 [a_1]: 0.0170105 [with_stream_mark]: 8.997e-05 [recompute_prepare]: 6.355e-05 [updatestate_depend_eliminate]: 3.578e-05 [updatestate_assign_eliminate]: 8.366e-05 [updatestate_loads_eliminate]: 3.81e-05 [parameter_eliminate]: 3.76001e-06 [specialize_transform]: 5.131e-05 [updatestate_useless_node_eliminater]: 8.289e-05 [accelerated_algorithm]: 5.996e-05 [meta_shard_fg_expand]: 1.938e-05 [get_grad_eliminate_]: 4.567e-05 [merge_forward]: 2.697e-05 [cell_reuse_recompute_pass]: 3.9e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.26e-05 [j_node_and_user_rematch]: 7.788e-05 [meta_fg_expand]: 1.876e-05 [replace_old_param]: 5.938e-05 [inline_without_move]: 4.374e-05 [renormalize]: 0.00320576 [add_forward_monad_depend]: 1.107e-05 [auto_monad_grad]: 2.74001e-06 [auto_monad_eliminator]: 0.00010559 [cse]: 0.00018092 [replace_applicator]: 6.125e-05 [Cycle 4]: 0.00268995, [27] [switch_simplify]: 4.498e-05 [loop_unroll]: 4.512e-05 [a_1]: 0.0013552 [with_stream_mark]: 4.149e-05 [recompute_prepare]: 4.825e-05 [updatestate_depend_eliminate]: 3.143e-05 [updatestate_assign_eliminate]: 3.01e-05 [updatestate_loads_eliminate]: 3.128e-05 [parameter_eliminate]: 1.99e-06 [specialize_transform]: 5.022e-05 [updatestate_useless_node_eliminater]: 7.463e-05 [accelerated_algorithm]: 6.238e-05 [meta_shard_fg_expand]: 1.076e-05 [get_grad_eliminate_]: 4.585e-05 [merge_forward]: 2.873e-05 [cell_reuse_recompute_pass]: 4.33999e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.228e-05 [j_node_and_user_rematch]: 8.64e-05 [meta_fg_expand]: 1.847e-05 [replace_old_param]: 6.095e-05 [inline_without_move]: 4.852e-05 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 3.77002e-06 [auto_monad_grad]: 2.11e-06 [auto_monad_eliminator]: 8.773e-05 [cse]: 0.0001402 [replace_applicator]: 5.425e-05 [py_interpret_to_execute_after_opt_a]: 5.793e-05 [rewriter_after_opt_a]: 0.00047121 [convert_after_rewriter]: 4.148e-05 [order_py_execute_after_rewriter]: 2.673e-05 [mutable_eliminate]: 0.0009126 [jit_opt_b]: 0.00030975, [1] [Cycle 1]: 0.00029976, [2] [frontend_op_eliminate]: 0.00015098 [inline_after_opt_a]: 0.00012875 [cconv]: 5.023e-05 [loop_unroll]: 0.0006083 [jit_opt_after_cconv]: 0.0131092, [1] [Cycle 1]: 0.0130949, [11] [c_1]: 0.012413 [parameter_eliminate]: 8.29998e-06 [updatestate_depend_eliminate]: 6.28e-05 [updatestate_assign_eliminate]: 3.648e-05 [updatestate_loads_eliminate]: 3.351e-05 [cse]: 0.00018312 [call_graph_tuple_transform]: 0.00012727 [tuple_list_get_item_eliminator]: 4.541e-05 [none_parameter_eliminate]: 2.46e-06 [renormalize]: 8.49977e-07 [switch_simplify]: 4.538e-05 [remove_dup_value]: 0.00016452 [partial_unused_args_eliminate]: 3.16001e-06 [environ_conv]: 3.891e-05 [add_recomputation]: 0.00060647 [cse_after_recomputation]: 0.00017135, [1] [Cycle 1]: 0.00015715, [1] [cse]: 0.00013568 [auto_monad_reorder]: 0.00012051 [get_jit_bprop_graph]: 2.53e-06 [rewriter_after_jit_bprop_graph]: 1.16e-05 [opt_after_jit_grad]: 0.00108079 [symbol_engine_optimizer]: 0.00034698, [1] [Cycle 1]: 0.00033786, [6] [build]: 2.807e-05 [elim_shapecalc]: 5.309e-05 [elim_not_effective]: 8.531e-05 [opt_reshape]: 4.941e-05 [fold_const_symbol]: 7.752e-05 [renormalize]: 3.80009e-07 [validate]: 0.00016977 [backend_pass]: 1.41998e-06 [task_emit]: 0.0738006 [execute]: 1.083e-05 Sums bootstrap : 0.000368s : 0.02% type_inference : 1.702034s : 81.96% event_method : 0.000399s : 0.02% auto_monad : 0.002197s : 0.11% graph_reusing : 0.000132s : 0.01% pre_auto_parallel : 0.000021s : 0.00% py_interpret_to_execute : 0.000581s : 0.03% rewriter_before_opt_a : 0.003999s : 0.19% expand_dump_flag : 0.000032s : 0.00% jit_opt_a.switch_simplify : 0.001831s : 0.09% jit_opt_a.loop_unroll : 0.001035s : 0.05% jit_opt_a.a_1 : 0.074412s : 3.58% jit_opt_a.with_stream_mark : 0.000472s : 0.02% jit_opt_a.recompute_prepare : 0.000303s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000717s : 0.03% jit_opt_a.updatestate_assign_eliminate : 0.000199s : 0.01% jit_opt_a.updatestate_loads_eliminate : 0.000304s : 0.01% jit_opt_a.parameter_eliminate : 0.000013s : 0.00% jit_opt_a.specialize_transform : 0.000234s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000331s : 0.02% jit_opt_a.accelerated_algorithm : 0.000308s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000088s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000201s : 0.01% jit_opt_a.merge_forward : 0.000123s : 0.01% jit_opt_a.cell_reuse_recompute_pass : 0.000012s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000401s : 0.02% jit_opt_a.j_node_and_user_rematch : 0.000363s : 0.02% jit_opt_a.meta_fg_expand : 0.032741s : 1.58% jit_opt_a.replace_old_param : 0.000588s : 0.03% jit_opt_a.inline_without_move : 0.000504s : 0.02% jit_opt_a.renormalize : 0.135863s : 6.54% jit_opt_a.add_forward_monad_depend : 0.000138s : 0.01% jit_opt_a.auto_monad_grad : 0.000046s : 0.00% jit_opt_a.auto_monad_eliminator : 0.021245s : 1.02% jit_opt_a.cse : 0.001658s : 0.08% jit_opt_a.replace_applicator : 0.000872s : 0.04% py_interpret_to_execute_after_opt_a : 0.000058s : 0.00% rewriter_after_opt_a : 0.000471s : 0.02% convert_after_rewriter : 0.000041s : 0.00% order_py_execute_after_rewriter : 0.000027s : 0.00% mutable_eliminate : 0.000913s : 0.04% jit_opt_b.frontend_op_eliminate : 0.000151s : 0.01% jit_opt_b.inline_after_opt_a : 0.000129s : 0.01% cconv : 0.000050s : 0.00% loop_unroll : 0.000608s : 0.03% jit_opt_after_cconv.c_1 : 0.012413s : 0.60% jit_opt_after_cconv.parameter_eliminate : 0.000008s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000063s : 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 : 0.000183s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000127s : 0.01% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000045s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000045s : 0.00% remove_dup_value : 0.000165s : 0.01% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000039s : 0.00% add_recomputation : 0.000606s : 0.03% cse_after_recomputation.cse : 0.000136s : 0.01% auto_monad_reorder : 0.000121s : 0.01% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000012s : 0.00% opt_after_jit_grad : 0.001081s : 0.05% symbol_engine_optimizer.build : 0.000028s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000053s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000085s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000049s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000078s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000170s : 0.01% backend_pass : 0.000001s : 0.00% task_emit : 0.073801s : 3.55% execute : 0.000011s : 0.00% Time group info: ------[substitution.] 0.013497 1515 0.78% : 0.000106s : 5: substitution.arithmetic_simplify 0.20% : 0.000028s : 3: substitution.cast_eliminate 0.89% : 0.000120s : 50: substitution.depend_value_elim 0.08% : 0.000011s : 32: substitution.elim_not_effective 0.07% : 0.000010s : 4: substitution.environ_get_add_eliminate 0.03% : 0.000004s : 2: substitution.environ_get_depend_swap 0.07% : 0.000009s : 4: substitution.environ_get_eliminate 0.18% : 0.000025s : 4: substitution.environ_get_set_eliminate 0.08% : 0.000011s : 32: substitution.fold_const_symbol 11.60% : 0.001566s : 8: substitution.getattr_setattr_resolve 0.22% : 0.000029s : 43: substitution.graph_param_transform 62.31% : 0.008411s : 170: substitution.inline 0.61% : 0.000082s : 12: substitution.inline_without_move 0.44% : 0.000059s : 147: substitution.j_node_and_user_rematch 0.46% : 0.000062s : 17: substitution.less_batch_normalization 0.20% : 0.000027s : 1: substitution.list_to_tuple_eliminator_ 0.50% : 0.000067s : 30: substitution.load_eliminater 0.71% : 0.000096s : 66: substitution.minmaximum_grad 0.01% : 0.000001s : 1: substitution.opt_reshape 0.42% : 0.000057s : 12: substitution.partial_eliminate 0.18% : 0.000025s : 6: substitution.reduce_eliminate 0.05% : 0.000006s : 4: substitution.redundant_stop_gradient_eliminater 0.63% : 0.000085s : 147: substitution.remove_not_recompute_node 1.47% : 0.000198s : 55: substitution.replace_applicator 0.38% : 0.000051s : 72: substitution.replace_old_param 1.65% : 0.000223s : 14: substitution.reshape_eliminate 0.02% : 0.000003s : 1: substitution.set_cell_output_no_recompute 0.04% : 0.000005s : 3: substitution.split_environ_get_set_with_tuple_value 0.54% : 0.000073s : 33: substitution.switch_simplify 0.05% : 0.000006s : 1: substitution.tile_eliminate 2.40% : 0.000324s : 76: substitution.tuple_list_convert_item_index_to_positive 1.97% : 0.000265s : 83: substitution.tuple_list_get_item_depend_reorder 5.44% : 0.000734s : 160: substitution.tuple_list_get_item_eliminator 1.35% : 0.000182s : 97: substitution.updatestate_pure_node_eliminater 3.95% : 0.000534s : 120: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.688940 2 91.49% : 1.545186s : 1: type_inference.infer 8.51% : 0.143754s : 1: type_inference.specialize ------[replace.] 0.024819 312 0.04% : 0.000009s : 1: replace.arithmetic_simplify 0.10% : 0.000026s : 3: replace.cast_eliminate 0.16% : 0.000039s : 5: replace.depend_value_elim 0.14% : 0.000035s : 2: replace.environ_get_set_eliminate 0.46% : 0.000114s : 6: replace.getattr_setattr_resolve 88.90% : 0.022065s : 170: replace.inline 0.08% : 0.000019s : 1: replace.list_to_tuple_eliminator_ 0.26% : 0.000064s : 2: replace.partial_eliminate 0.40% : 0.000100s : 3: replace.replace_applicator 0.03% : 0.000007s : 1: replace.reshape_eliminate 1.80% : 0.000446s : 33: replace.switch_simplify 0.41% : 0.000102s : 7: replace.tuple_list_get_item_depend_reorder 7.15% : 0.001774s : 77: replace.tuple_list_get_item_eliminator 0.07% : 0.000018s : 1: replace.updatestate_useless_node_eliminater ------[match.] 0.010577 312 0.50% : 0.000053s : 1: match.arithmetic_simplify 0.23% : 0.000025s : 3: match.cast_eliminate 0.06% : 0.000006s : 5: match.depend_value_elim 0.18% : 0.000019s : 2: match.environ_get_set_eliminate 13.95% : 0.001476s : 6: match.getattr_setattr_resolve 78.38% : 0.008290s : 170: match.inline 0.25% : 0.000026s : 1: match.list_to_tuple_eliminator_ 0.32% : 0.000034s : 2: match.partial_eliminate 0.35% : 0.000037s : 3: match.replace_applicator 0.02% : 0.000003s : 1: match.reshape_eliminate 0.54% : 0.000057s : 33: match.switch_simplify 0.83% : 0.000088s : 7: match.tuple_list_get_item_depend_reorder 4.24% : 0.000448s : 77: match.tuple_list_get_item_eliminator 0.15% : 0.000015s : 1: match.updatestate_useless_node_eliminater ------[predicate.] 0.008778 33167 13.45% : 0.001181s : 566: predicate.accumulaten_eliminater 0.14% : 0.000012s : 43: predicate.ad_related_special_op_eliminate 1.21% : 0.000106s : 566: predicate.addn_check_dump 1.05% : 0.000092s : 566: predicate.addn_zero_filter 2.21% : 0.000194s : 567: predicate.arithmetic_simplify 1.65% : 0.000144s : 571: predicate.cast_eliminate 0.07% : 0.000006s : 43: predicate.check_bprop_eliminate 1.62% : 0.000143s : 566: predicate.compare_switch_simplify 1.30% : 0.000114s : 566: predicate.depend_value_elim 1.76% : 0.000155s : 573: predicate.dict_get_item_const_eliminator 1.43% : 0.000125s : 573: predicate.dict_get_item_eliminator 1.42% : 0.000125s : 573: predicate.dict_set_item_eliminator 0.10% : 0.000009s : 43: predicate.dumpgradient_eliminate 0.04% : 0.000004s : 43: predicate.elim_not_effective 0.08% : 0.000007s : 43: predicate.elim_shapecalc_of_broadcastargs 1.04% : 0.000091s : 571: predicate.environ_add_const_eliminate 1.62% : 0.000142s : 573: predicate.environ_get_add_eliminate 1.40% : 0.000122s : 571: predicate.environ_get_depend_swap 1.30% : 0.000114s : 573: predicate.environ_get_eliminate 1.42% : 0.000125s : 573: predicate.environ_get_set_eliminate 0.04% : 0.000003s : 43: predicate.fold_const_symbol 0.32% : 0.000028s : 198: predicate.get_grad_eliminate 0.15% : 0.000013s : 40: predicate.getattr_setattr_resolve 0.04% : 0.000003s : 43: predicate.graph_param_transform 3.83% : 0.000336s : 917: predicate.inline 0.78% : 0.000069s : 404: predicate.inline_without_move 0.17% : 0.000015s : 198: predicate.j_node_and_user_rematch 0.41% : 0.000036s : 208: predicate.less_batch_normalization 1.77% : 0.000155s : 658: predicate.list_to_tuple_eliminator_ 1.88% : 0.000165s : 703: predicate.load_eliminater 0.13% : 0.000011s : 43: predicate.loop_unroll_after_grad 2.03% : 0.000178s : 1143: predicate.loop_unroll_before_grad 1.98% : 0.000174s : 623: predicate.make_slice_get_slice_eliminator 1.74% : 0.000153s : 566: predicate.merge_addn 0.89% : 0.000078s : 567: predicate.minmaximum_grad 0.13% : 0.000012s : 43: predicate.mutable_eliminate 0.07% : 0.000006s : 43: predicate.opt_reshape 2.27% : 0.000199s : 703: predicate.partial_eliminate 1.48% : 0.000130s : 561: predicate.print_const_string_wrapper 1.87% : 0.000164s : 567: predicate.reduce_eliminate 1.95% : 0.000171s : 660: predicate.redundant_stop_gradient_eliminater 0.17% : 0.000015s : 198: predicate.remove_not_recompute_node 1.42% : 0.000125s : 1142: predicate.replace_applicator 0.36% : 0.000032s : 404: predicate.replace_old_param 0.04% : 0.000004s : 43: predicate.reset_defer_inline 1.61% : 0.000142s : 568: predicate.reshape_eliminate 1.78% : 0.000157s : 561: predicate.row_tensor_add_zeros_like 0.09% : 0.000008s : 43: predicate.row_tensor_eliminate 1.22% : 0.000107s : 561: predicate.same_eliminate 0.23% : 0.000020s : 240: predicate.set_cell_output_no_recompute 0.15% : 0.000014s : 86: predicate.special_op_eliminate 0.36% : 0.000032s : 198: predicate.specialize_transform 1.79% : 0.000157s : 561: predicate.split_environ_get_set_with_tuple_value 1.25% : 0.000110s : 561: predicate.stack_unstack_eliminate 0.13% : 0.000011s : 43: predicate.switch_call_monad_eliminater 4.01% : 0.000352s : 831: predicate.switch_defer_inline 2.57% : 0.000225s : 831: predicate.switch_layer_defer_inline 4.25% : 0.000373s : 2083: predicate.switch_simplify 1.25% : 0.000109s : 567: predicate.tile_eliminate 1.42% : 0.000125s : 567: predicate.transpose_eliminate 1.69% : 0.000148s : 573: predicate.tuple_list_convert_item_index_to_positive 1.03% : 0.000091s : 580: predicate.tuple_list_get_item_depend_reorder 5.46% : 0.000480s : 743: predicate.tuple_list_get_item_eliminator 1.90% : 0.000167s : 580: predicate.tuple_list_set_item_eliminator 1.22% : 0.000107s : 657: predicate.tuple_to_list_eliminator_ 1.52% : 0.000133s : 703: predicate.updatestate_pure_node_eliminater 2.84% : 0.000249s : 902: predicate.updatestate_useless_node_eliminater 1.86% : 0.000163s : 561: predicate.value_based_eliminate 0.07% : 0.000006s : 43: predicate.virtual_view_grad_eliminate 0.09% : 0.000008s : 43: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.054594 407 47.96% : 0.026184s : 208: func_graph_cloner_run.FuncGraphClonerGraph 52.04% : 0.028410s : 199: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.315734 110 0.03% : 0.000623s : 1: add_recomputation 0.10% : 0.002210s : 1: auto_monad 0.01% : 0.000126s : 1: auto_monad_reorder 0.00% : 0.000010s : 1: backend_pass 0.02% : 0.000395s : 1: bootstrap 0.00% : 0.000055s : 1: cconv 0.00% : 0.000047s : 1: convert_after_rewriter 0.01% : 0.000175s : 1: cse_after_recomputation 0.00% : 0.000042s : 1: environ_conv 0.02% : 0.000408s : 1: event_method 0.00% : 0.000016s : 1: execute 0.00% : 0.000040s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000138s : 1: graph_reusing 12.14% : 0.281141s : 1: jit_opt_a 0.57% : 0.013115s : 1: jit_opt_after_cconv 0.01% : 0.000313s : 1: jit_opt_b 0.03% : 0.000621s : 1: loop_unroll 0.04% : 0.000927s : 1: mutable_eliminate 3.51% : 0.081268s : 52: opt.transform.jit_opt_a 0.54% : 0.012618s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000270s : 4: opt.transform.jit_opt_b 0.00% : 0.000065s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000071s : 1: opt.transform.mutable_eliminate 0.01% : 0.000161s : 1: opt.transform.opt_after_jit_grad 0.08% : 0.001794s : 4: opt.transform.opt_resolve 0.01% : 0.000261s : 4: opt.transform.symbol_engine_opt 0.05% : 0.001096s : 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% : 0.000025s : 1: pre_auto_parallel 0.03% : 0.000590s : 1: py_interpret_to_execute 0.00% : 0.000062s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000171s : 1: remove_dup_value 3.70% : 0.085721s : 3: renormalize.infer 2.16% : 0.050007s : 3: renormalize.specialize 0.00% : 0.000014s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000479s : 1: rewriter_after_opt_a 0.18% : 0.004056s : 1: rewriter_before_opt_a 0.02% : 0.000350s : 1: symbol_engine_optimizer 3.19% : 0.073824s : 1: task_emit 73.50% : 1.702059s : 1: type_inference 0.01% : 0.000331s : 1: validate TotalTime = 0.0791551, [24] [bootstrap]: 0.00079438 [type_inference]: 0.0488527 [event_method]: 0.00041357 [auto_monad]: 0.00041335 [graph_reusing]: 9.29e-06 [inline]: 2.46998e-06 [add_attr]: 0.00450368, [1] [add_attr_with_inline]: 0.00449009, [1] [Cycle 1]: 0.00013426, [2] [tag_attr]: 7.378e-05 [meta_addattr_fg_expand]: 1.008e-05 [parallel-infer-symbol]: 3.8e-06 [pre_auto_parallel]: 6.395e-05 [insert-virtual-dataset]: 2.66e-06 [parallel-infer-symbol-second]: 6.69999e-07 [dataset_repeat_opt]: 2.17999e-06 [pipeline_split]: 1.64e-06 [optimize]: 0.0112945, [53] [py_interpret_to_execute]: 5.37e-05 [rewriter_before_opt_a]: 0.00015185 [opt_a]: 0.00766188, [2] [Cycle 1]: 0.006184, [45] [expand_dump_flag]: 3.86999e-06 [switch_simplify]: 0.0001554 [loop_unroll]: 5.757e-05 [a_1]: 0.00219177 [with_stream_mark]: 3.156e-05 [recompute_prepare]: 2.684e-05 [updatestate_depend_eliminate]: 7.479e-05 [updatestate_assign_eliminate]: 9.24998e-06 [updatestate_loads_eliminate]: 5.968e-05 [parameter_eliminate]: 2.36e-06 [a_2]: 0.00031342 [accelerated_algorithm]: 3.935e-05 [shard]: 2.03997e-06 [meta_shard_fg_expand]: 4.55999e-06 [shard_inline]: 1.537e-05 [merge_send_recv]: 1.399e-05 [auto_parallel]: 1.332e-05 [parallel]: 2.588e-05 [flash_sp]: 1.169e-05 [merge_comm]: 9.10001e-06 [allreduce_fusion]: 8.16002e-06 [matmul_add_comm_reduction]: 1.708e-05 [allreduce_slice_to_reducescatter]: 7.79983e-07 [virtual_shard_identity]: 1.86e-05 [virtual_dataset]: 1.543e-05 [get_grad_eliminate_]: 1.427e-05 [virtual_output]: 1.441e-05 [merge_forward]: 8.21002e-06 [cell_reuse_recompute_pass]: 1.75001e-06 [offload_activation]: 1.928e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.959e-05 [merge_recompute_call_nodes]: 1.48002e-06 [before_grad]: 2.605e-05 [set_forward_comm_id_for_comm_node_pass]: 9.49999e-06 [meta_fg_expand]: 6.91001e-06 [flash_sp_send_recv_attached]: 4.78001e-06 [receive_attached]: 2.53998e-06 [after_resolve]: 2.602e-05 [a_after_grad]: 2.455e-05 [renormalize]: 0.00221705 [add_forward_monad_depend]: 7.48e-06 [auto_monad_grad]: 3.14999e-06 [auto_monad_eliminator]: 4.919e-05 [cse]: 0.00016683 [a_3]: 0.00011025 [Cycle 2]: 0.00146246, [45] [expand_dump_flag]: 2.78e-06 [switch_simplify]: 1.718e-05 [loop_unroll]: 1.518e-05 [a_1]: 0.0004056 [with_stream_mark]: 1.963e-05 [recompute_prepare]: 1.387e-05 [updatestate_depend_eliminate]: 8.60999e-06 [updatestate_assign_eliminate]: 1.026e-05 [updatestate_loads_eliminate]: 1.306e-05 [parameter_eliminate]: 1.47001e-06 [a_2]: 0.0002202 [accelerated_algorithm]: 2.131e-05 [shard]: 1.37e-06 [meta_shard_fg_expand]: 3.52002e-06 [shard_inline]: 1.394e-05 [merge_send_recv]: 1.179e-05 [auto_parallel]: 1.221e-05 [parallel]: 7.06999e-06 [flash_sp]: 4.13001e-06 [merge_comm]: 8.35001e-06 [allreduce_fusion]: 8.1e-06 [matmul_add_comm_reduction]: 1.552e-05 [allreduce_slice_to_reducescatter]: 3.69997e-07 [virtual_shard_identity]: 1.665e-05 [virtual_dataset]: 1.391e-05 [get_grad_eliminate_]: 1.358e-05 [virtual_output]: 1.328e-05 [merge_forward]: 8.60001e-06 [cell_reuse_recompute_pass]: 3.14999e-06 [offload_activation]: 1.665e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.131e-05 [merge_recompute_call_nodes]: 1.20001e-06 [before_grad]: 2.716e-05 [set_forward_comm_id_for_comm_node_pass]: 9.10999e-06 [meta_fg_expand]: 5.96998e-06 [flash_sp_send_recv_attached]: 1.86e-06 [receive_attached]: 2.46e-06 [after_resolve]: 2.128e-05 [a_after_grad]: 2.474e-05 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 2.09999e-06 [auto_monad_grad]: 2.41e-06 [auto_monad_eliminator]: 3.441e-05 [cse]: 4.586e-05 [a_3]: 0.00010321 [py_interpret_to_execute_after_opt_a]: 2.145e-05 [slice_cell_reuse_recomputed_activation]: 2.69001e-06 [rewriter_after_opt_a]: 0.00018682 [convert_after_rewriter]: 1.342e-05 [order_py_execute_after_rewriter]: 1.045e-05 [mutable_eliminate]: 0.0007711 [opt_b]: 0.00051102, [1] [Cycle 1]: 0.00050337, [7] [b_1]: 0.00035326 [b_2]: 1.764e-05 [updatestate_depend_eliminate]: 1.179e-05 [updatestate_assign_eliminate]: 9.60001e-06 [updatestate_loads_eliminate]: 1.155e-05 [renormalize]: 5.89993e-07 [cse]: 5.395e-05 [optimize_parallel_all_gather_comm]: 3.057e-05 [overlap_param_gather]: 2.09999e-06 [cconv]: 2.939e-05 [loop_unroll]: 0.00052656 [opt_after_cconv]: 0.0002257, [1] [Cycle 1]: 0.00021818, [7] [c_1]: 0.00010066 [parameter_eliminate]: 3.51001e-06 [updatestate_depend_eliminate]: 1.198e-05 [updatestate_assign_eliminate]: 8.33999e-06 [updatestate_loads_eliminate]: 1.059e-05 [cse]: 4.414e-05 [renormalize]: 4.00003e-07 [remove_dup_value]: 5.527e-05 [tuple_transform]: 0.00014649, [1] [Cycle 1]: 0.00014078, [4] [d_1]: 0.00010278 [none_parameter_eliminate]: 1.84998e-06 [renormalize]: 2.69996e-07 [switch_simplify]: 1.521e-05 [partial_unused_args_eliminate]: 1.68997e-06 [add_recomputation]: 0.00010003 [cse_after_recomputation]: 4.873e-05, [1] [Cycle 1]: 4.377e-05, [1] [cse]: 3.8e-05 [environ_conv]: 1.243e-05 [swap_dp_allreduce_reducescatter]: 1.208e-05 [bias_add_comm_swap]: 2.97002e-06 [label_micro_interleaved_index]: 4.43001e-06 [label_fine_grained_interleaved_index]: 2.96999e-06 [merge_cast_opt]: 1.59e-06 [slice_recompute_activation]: 2.17001e-06 [micro_interleaved_order_control]: 2.36e-06 [assign_add_opt]: 1.24998e-06 [ForceFp32Comm]: 8.10018e-07 [remove_cast_before_assign_add]: 1.79e-06 [full_micro_interleaved_order_control]: 2.26e-06 [reorder_send_recv_between_fp_bp]: 2.56e-06 [comm_op_add_attrs]: 1.00001e-06 [add_comm_op_reuse_tag]: 1.01002e-06 [interleave_split_concat_branches]: 1.24e-06 [interleave_parallel_branches]: 1.21997e-06 [overlap_opt_shard_in_pipeline]: 1.19998e-06 [overlap_opt_shard_grad_in_pipeline]: 2.02001e-06 [control_data_broadcast_order]: 3.54e-05 [grouped_pairwise_exchange_alltoall]: 1.64e-06 [offloading_packed_experts]: 8.90999e-06 [overlap_recompute_and_grad_model_parallel]: 9.28002e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.22999e-06 [overlap_recompute_allgather_and_fa_grad]: 1.40001e-06 [overlap_recompute_comm]: 2.69999e-06 [overlap_grad_ring_attention]: 9.04e-06 [overlap_grad_flash_sp]: 4.321e-05 [begin_end_overlap_inline]: 5.90022e-07 [split_matmul_comm_elemetwise]: 2.44001e-06 [split_layernorm_comm]: 2.02001e-06 [handle_group_info]: 9.30013e-07 [symbol_engine_optimizer]: 0.00015975, [1] [Cycle 1]: 0.00015446, [6] [build]: 2.865e-05 [elim_shapecalc]: 2.042e-05 [elim_not_effective]: 2.896e-05 [opt_reshape]: 1.669e-05 [fold_const_symbol]: 2.634e-05 [renormalize]: 2.50002e-07 [detach_backward]: 2.89999e-06 [pipeline_parallel_scheduler]: 1.60999e-06 [auto_monad_reorder]: 6.77e-05 [get_jit_bprop_graph]: 1.79998e-06 [rewriter_after_jit_bprop_graph]: 5.86998e-06 [opt_after_jit_grad]: 0.00055344 [validate]: 6.818e-05 [backend_pass]: 1.17999e-06 [task_emit]: 0.0117609 [execute]: 8.70999e-06 Sums bootstrap : 0.000794s : 1.08% type_inference : 0.048853s : 66.68% event_method : 0.000414s : 0.56% auto_monad : 0.000413s : 0.56% graph_reusing : 0.000009s : 0.01% inline : 0.000002s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000074s : 0.10% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000010s : 0.01% parallel-infer-symbol : 0.000004s : 0.01% pre_auto_parallel : 0.000064s : 0.09% 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 : 0.000054s : 0.07% optimize.rewriter_before_opt_a : 0.000152s : 0.21% optimize.opt_a.expand_dump_flag : 0.000007s : 0.01% optimize.opt_a.switch_simplify : 0.000173s : 0.24% optimize.opt_a.loop_unroll : 0.000073s : 0.10% optimize.opt_a.a_1 : 0.002597s : 3.55% optimize.opt_a.with_stream_mark : 0.000051s : 0.07% optimize.opt_a.recompute_prepare : 0.000041s : 0.06% optimize.opt_a.updatestate_depend_eliminate : 0.000083s : 0.11% optimize.opt_a.updatestate_assign_eliminate : 0.000020s : 0.03% optimize.opt_a.updatestate_loads_eliminate : 0.000073s : 0.10% optimize.opt_a.parameter_eliminate : 0.000004s : 0.01% optimize.opt_a.a_2 : 0.000534s : 0.73% optimize.opt_a.accelerated_algorithm : 0.000061s : 0.08% optimize.opt_a.shard : 0.000003s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000008s : 0.01% optimize.opt_a.shard_inline : 0.000029s : 0.04% optimize.opt_a.merge_send_recv : 0.000026s : 0.04% optimize.opt_a.auto_parallel : 0.000026s : 0.03% optimize.opt_a.parallel : 0.000033s : 0.04% optimize.opt_a.flash_sp : 0.000016s : 0.02% optimize.opt_a.merge_comm : 0.000017s : 0.02% optimize.opt_a.allreduce_fusion : 0.000016s : 0.02% optimize.opt_a.matmul_add_comm_reduction : 0.000033s : 0.04% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000001s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000035s : 0.05% optimize.opt_a.virtual_dataset : 0.000029s : 0.04% optimize.opt_a.get_grad_eliminate_ : 0.000028s : 0.04% optimize.opt_a.virtual_output : 0.000028s : 0.04% optimize.opt_a.merge_forward : 0.000017s : 0.02% optimize.opt_a.cell_reuse_recompute_pass : 0.000005s : 0.01% optimize.opt_a.offload_activation : 0.000036s : 0.05% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000061s : 0.08% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000053s : 0.07% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000019s : 0.03% optimize.opt_a.meta_fg_expand : 0.000013s : 0.02% optimize.opt_a.flash_sp_send_recv_attached : 0.000007s : 0.01% optimize.opt_a.receive_attached : 0.000005s : 0.01% optimize.opt_a.after_resolve : 0.000047s : 0.06% optimize.opt_a.a_after_grad : 0.000049s : 0.07% optimize.opt_a.renormalize : 0.002217s : 3.03% optimize.opt_a.add_forward_monad_depend : 0.000010s : 0.01% optimize.opt_a.auto_monad_grad : 0.000006s : 0.01% optimize.opt_a.auto_monad_eliminator : 0.000084s : 0.11% optimize.opt_a.cse : 0.000213s : 0.29% optimize.opt_a.a_3 : 0.000213s : 0.29% optimize.py_interpret_to_execute_after_opt_a : 0.000021s : 0.03% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000187s : 0.25% optimize.convert_after_rewriter : 0.000013s : 0.02% optimize.order_py_execute_after_rewriter : 0.000010s : 0.01% optimize.mutable_eliminate : 0.000771s : 1.05% optimize.opt_b.b_1 : 0.000353s : 0.48% optimize.opt_b.b_2 : 0.000018s : 0.02% optimize.opt_b.updatestate_depend_eliminate : 0.000012s : 0.02% optimize.opt_b.updatestate_assign_eliminate : 0.000010s : 0.01% optimize.opt_b.updatestate_loads_eliminate : 0.000012s : 0.02% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000054s : 0.07% optimize.optimize_parallel_all_gather_comm : 0.000031s : 0.04% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000029s : 0.04% optimize.loop_unroll : 0.000527s : 0.72% optimize.opt_after_cconv.c_1 : 0.000101s : 0.14% optimize.opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 0.02% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000008s : 0.01% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000011s : 0.01% optimize.opt_after_cconv.cse : 0.000044s : 0.06% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.000055s : 0.08% optimize.tuple_transform.d_1 : 0.000103s : 0.14% 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 : 0.02% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000100s : 0.14% optimize.cse_after_recomputation.cse : 0.000038s : 0.05% optimize.environ_conv : 0.000012s : 0.02% optimize.swap_dp_allreduce_reducescatter : 0.000012s : 0.02% optimize.bias_add_comm_swap : 0.000003s : 0.00% optimize.label_micro_interleaved_index : 0.000004s : 0.01% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000002s : 0.00% optimize.assign_add_opt : 0.000001s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000002s : 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 : 0.000001s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000035s : 0.05% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000009s : 0.01% optimize.overlap_recompute_and_grad_model_parallel : 0.000009s : 0.01% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000001s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000001s : 0.00% optimize.overlap_recompute_comm : 0.000003s : 0.00% optimize.overlap_grad_ring_attention : 0.000009s : 0.01% optimize.overlap_grad_flash_sp : 0.000043s : 0.06% 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 : 0.000029s : 0.04% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000020s : 0.03% optimize.symbol_engine_optimizer.elim_not_effective : 0.000029s : 0.04% optimize.symbol_engine_optimizer.opt_reshape : 0.000017s : 0.02% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000026s : 0.04% 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 : 0.000068s : 0.09% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.01% opt_after_jit_grad : 0.000553s : 0.76% validate : 0.000068s : 0.09% backend_pass : 0.000001s : 0.00% task_emit : 0.011761s : 16.05% execute : 0.000009s : 0.01% Time group info: ------[substitution.] 0.000583 165 1.49% : 0.000009s : 2: substitution.depend_value_elim 0.73% : 0.000004s : 9: substitution.elim_not_effective 0.60% : 0.000004s : 9: substitution.fold_const_symbol 1.93% : 0.000011s : 12: substitution.graph_param_transform 62.92% : 0.000367s : 11: substitution.inline 1.47% : 0.000009s : 18: substitution.j_node_and_user_rematch 3.55% : 0.000021s : 4: substitution.less_batch_normalization 1.37% : 0.000008s : 12: substitution.load_eliminater 2.34% : 0.000014s : 18: substitution.remove_not_recompute_node 1.31% : 0.000008s : 6: substitution.replace_old_param 1.96% : 0.000011s : 2: substitution.switch_simplify 5.27% : 0.000031s : 30: substitution.updatestate_pure_node_eliminater 15.04% : 0.000088s : 32: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.048757 2 94.78% : 0.046213s : 1: type_inference.infer 5.22% : 0.002544s : 1: type_inference.specialize ------[replace.] 0.000484 13 88.64% : 0.000429s : 11: replace.inline 11.36% : 0.000055s : 2: replace.switch_simplify ------[match.] 0.000370 13 97.26% : 0.000360s : 11: match.inline 2.74% : 0.000010s : 2: match.switch_simplify ------[predicate.] 0.000608 4059 1.12% : 0.000007s : 49: predicate.accumulaten_eliminater 0.57% : 0.000003s : 12: predicate.ad_related_special_op_eliminate 0.52% : 0.000003s : 24: predicate.addn_check_dump 1.08% : 0.000007s : 49: predicate.addn_zero_filter 1.04% : 0.000006s : 49: predicate.adjust_all_reduce_mul_add 2.12% : 0.000013s : 73: predicate.arithmetic_simplify 1.13% : 0.000007s : 49: predicate.cast_eliminate 0.59% : 0.000004s : 24: predicate.check_bprop_eliminate 0.67% : 0.000004s : 24: predicate.compare_switch_simplify 0.16% : 0.000001s : 12: predicate.const_output_eliminate 0.55% : 0.000003s : 24: predicate.depend_value_elim 1.14% : 0.000007s : 49: predicate.dict_get_item_const_eliminator 1.20% : 0.000007s : 49: predicate.dict_get_item_eliminator 1.09% : 0.000007s : 49: predicate.dict_set_item_eliminator 0.71% : 0.000004s : 24: predicate.dumpgradient_eliminate 0.20% : 0.000001s : 12: predicate.elim_not_effective 0.34% : 0.000002s : 12: predicate.elim_shapecalc_of_broadcastargs 1.41% : 0.000009s : 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 1.94% : 0.000012s : 85: predicate.environ_get_eliminate 1.32% : 0.000008s : 61: predicate.environ_get_set_eliminate 1.34% : 0.000008s : 60: predicate.exchange_switch_depend_value 1.92% : 0.000012s : 60: predicate.float_depend_g_call 0.55% : 0.000003s : 24: predicate.float_environ_get_switch 0.76% : 0.000005s : 36: predicate.float_tuple_getitem_switch 0.15% : 0.000001s : 12: predicate.fold_const_symbol 0.60% : 0.000004s : 24: predicate.get_grad_eliminate 0.20% : 0.000001s : 12: predicate.graph_param_transform 0.55% : 0.000003s : 24: predicate.incorporate_call 0.49% : 0.000003s : 24: predicate.incorporate_call_switch 5.46% : 0.000033s : 181: predicate.inline 0.81% : 0.000005s : 24: predicate.inline_without_move 0.29% : 0.000002s : 24: predicate.j_node_and_user_rematch 0.81% : 0.000005s : 24: predicate.less_batch_normalization 1.70% : 0.000010s : 73: predicate.list_to_tuple_eliminator_ 2.74% : 0.000017s : 122: predicate.load_eliminater 0.53% : 0.000003s : 12: predicate.loop_unroll_after_grad 1.78% : 0.000011s : 78: predicate.loop_unroll_before_grad 1.73% : 0.000011s : 73: predicate.make_slice_get_slice_eliminator 0.56% : 0.000003s : 24: predicate.merge_addn 0.57% : 0.000003s : 24: predicate.micro_step_allgather_replace 0.55% : 0.000003s : 24: predicate.mini_step_allgather_replace 1.03% : 0.000006s : 49: predicate.minmaximum_grad 0.62% : 0.000004s : 12: predicate.mutable_eliminate 0.33% : 0.000002s : 12: predicate.opt_reshape 0.33% : 0.000002s : 12: predicate.parallel_virtual_node 1.89% : 0.000012s : 60: predicate.partial_defer_inline 1.51% : 0.000009s : 61: predicate.partial_eliminate 1.10% : 0.000007s : 49: predicate.print_const_string_wrapper 0.53% : 0.000003s : 24: predicate.reduce_all_const_elim 1.54% : 0.000009s : 49: predicate.reduce_eliminate 2.68% : 0.000016s : 122: predicate.redundant_stop_gradient_eliminater 0.39% : 0.000002s : 24: predicate.remove_not_recompute_node 1.18% : 0.000007s : 73: predicate.replace_applicator 0.34% : 0.000002s : 24: predicate.replace_old_param 0.18% : 0.000001s : 12: predicate.reset_defer_inline 1.06% : 0.000006s : 49: predicate.reshape_eliminate 0.60% : 0.000004s : 24: predicate.row_tensor_add_zeros_like 0.39% : 0.000002s : 12: predicate.row_tensor_eliminate 0.71% : 0.000004s : 24: predicate.same_eliminate 0.45% : 0.000003s : 32: predicate.set_cell_output_no_recompute 0.71% : 0.000004s : 24: predicate.shard_identity_eliminate 0.71% : 0.000004s : 24: predicate.special_op_eliminate 0.63% : 0.000004s : 24: predicate.specialize_transform 0.74% : 0.000005s : 24: predicate.split_environ_get_set_with_tuple_value 0.69% : 0.000004s : 24: predicate.stack_unstack_eliminate 0.33% : 0.000002s : 12: predicate.switch_call_monad_eliminater 1.43% : 0.000009s : 60: predicate.switch_defer_inline 1.94% : 0.000012s : 84: predicate.switch_layer_defer_inline 5.92% : 0.000036s : 178: predicate.switch_simplify 1.09% : 0.000007s : 49: predicate.tile_eliminate 1.15% : 0.000007s : 49: predicate.transpose_eliminate 1.73% : 0.000011s : 73: predicate.tuple_list_convert_item_index_to_positive 1.72% : 0.000010s : 73: predicate.tuple_list_get_item_const_eliminator 1.70% : 0.000010s : 73: predicate.tuple_list_get_item_depend_reorder 2.67% : 0.000016s : 97: predicate.tuple_list_get_item_eliminator 1.75% : 0.000011s : 73: predicate.tuple_list_get_set_item_eliminator 2.40% : 0.000015s : 97: predicate.tuple_list_set_item_eliminator 1.66% : 0.000010s : 73: predicate.tuple_to_list_eliminator_ 2.86% : 0.000017s : 122: predicate.updatestate_pure_node_eliminater 3.62% : 0.000022s : 146: predicate.updatestate_useless_node_eliminater 0.38% : 0.000002s : 12: predicate.value_based_eliminate 0.58% : 0.000004s : 24: predicate.virtual_dataset_eliminate 0.56% : 0.000003s : 24: predicate.virtual_output_eliminate 0.27% : 0.000002s : 12: predicate.virtual_view_grad_eliminate 0.30% : 0.000002s : 12: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.001215 18 38.38% : 0.000466s : 5: func_graph_cloner_run.FuncGraphClonerGraph 61.62% : 0.000749s : 13: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.101583 196 0.00% : 0.000003s : 1: ForceFp32Comm 4.44% : 0.004510s : 1: add_attr 4.42% : 0.004495s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.10% : 0.000105s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.43% : 0.000432s : 1: auto_monad 0.07% : 0.000073s : 1: auto_monad_reorder 0.01% : 0.000007s : 1: backend_pass 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.01% : 0.000006s : 1: bias_add_comm_swap 0.82% : 0.000828s : 1: bootstrap 0.03% : 0.000033s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.04% : 0.000039s : 1: control_data_broadcast_order 0.02% : 0.000017s : 1: convert_after_rewriter 0.05% : 0.000052s : 1: cse_after_recomputation 0.01% : 0.000005s : 1: dataset_repeat_opt 0.01% : 0.000008s : 1: detach_backward 0.02% : 0.000017s : 1: environ_conv 0.43% : 0.000439s : 1: event_method 0.01% : 0.000015s : 1: execute 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.01% : 0.000006s : 1: get_jit_bprop_graph 0.02% : 0.000015s : 1: graph_reusing 0.00% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.01% : 0.000006s : 1: inline 0.01% : 0.000006s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.01% : 0.000006s : 1: label_fine_grained_interleaved_index 0.01% : 0.000007s : 1: label_micro_interleaved_index 0.53% : 0.000537s : 1: loop_unroll 0.00% : 0.000004s : 1: merge_cast_opt 0.01% : 0.000006s : 1: micro_interleaved_order_control 0.77% : 0.000781s : 1: mutable_eliminate 0.01% : 0.000012s : 1: offloading_packed_experts 0.02% : 0.000024s : 1: opt.transform.loop_unroll_optimizer 0.03% : 0.000027s : 1: opt.transform.mutable_eliminate 3.89% : 0.003950s : 78: opt.transform.opt_a 0.10% : 0.000099s : 1: opt.transform.opt_after_cconv 0.05% : 0.000053s : 1: opt.transform.opt_after_jit_grad 0.33% : 0.000338s : 28: opt.transform.opt_b 0.11% : 0.000115s : 2: opt.transform.opt_trans_graph 0.09% : 0.000088s : 4: opt.transform.symbol_engine_opt 7.55% : 0.007666s : 1: opt_a 0.23% : 0.000229s : 1: opt_after_cconv 0.55% : 0.000564s : 1: opt_after_jit_grad 0.51% : 0.000515s : 1: opt_b 11.13% : 0.011306s : 1: optimize 0.03% : 0.000035s : 1: optimize_parallel_all_gather_comm 0.01% : 0.000014s : 1: order_py_execute_after_rewriter 0.05% : 0.000047s : 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% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000004s : 1: overlap_opt_shard_in_pipeline 0.01% : 0.000006s : 1: overlap_param_gather 0.00% : 0.000004s : 1: overlap_recompute_allgather_and_fa_grad 0.01% : 0.000013s : 1: overlap_recompute_and_grad_model_parallel 0.01% : 0.000006s : 1: overlap_recompute_comm 0.01% : 0.000007s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.01% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.07% : 0.000069s : 1: pre_auto_parallel 0.06% : 0.000058s : 1: py_interpret_to_execute 0.02% : 0.000025s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.06% : 0.000060s : 1: remove_dup_value 1.23% : 0.001247s : 1: renormalize.infer 0.94% : 0.000959s : 1: renormalize.specialize 0.01% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.01% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.19% : 0.000193s : 1: rewriter_after_opt_a 0.16% : 0.000158s : 1: rewriter_before_opt_a 0.01% : 0.000006s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000005s : 1: split_layernorm_comm 0.01% : 0.000005s : 1: split_matmul_comm_elemetwise 0.01% : 0.000015s : 1: swap_dp_allreduce_reducescatter 0.16% : 0.000163s : 1: symbol_engine_optimizer 11.60% : 0.011782s : 1: task_emit 0.15% : 0.000149s : 1: tuple_transform 48.13% : 0.048888s : 1: type_inference 0.12% : 0.000118s : 1: validate . [hook] pytest_runtest_teardown:test_mint_optim_fused_adamw_basic[0] tests/st/mint/optim/test_fused_adamw.py::test_mint_optim_fused_adamw_basic[0],max_mem:20.0M [WARNING] ME(171177:281473318367024,MainProcess):2026-01-29-17:44:31.139.923 [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(171177,ffff9d27af30,python3.9):2026-01-29-17:44:32.702.400 [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 = 1.91368, [33] [bootstrap]: 0.00040865 [type_inference]: 1.55981 [event_method]: 0.00036949 [auto_monad]: 0.00214283 [graph_reusing]: 0.00013209 [pre_auto_parallel]: 1.745e-05 [py_interpret_to_execute]: 0.00050755 [rewriter_before_opt_a]: 0.0162585 [expand_dump_flag]: 5.527e-05 [jit_opt_a]: 0.257872, [4] [Cycle 1]: 0.200507, [27] [switch_simplify]: 0.00163468 [loop_unroll]: 0.00065414 [a_1]: 0.0394008 [with_stream_mark]: 0.00017883 [recompute_prepare]: 0.00011729 [updatestate_depend_eliminate]: 0.00059401 [updatestate_assign_eliminate]: 4.901e-05 [updatestate_loads_eliminate]: 0.00011832 [parameter_eliminate]: 4.17e-06 [specialize_transform]: 7.448e-05 [updatestate_useless_node_eliminater]: 9.45e-05 [accelerated_algorithm]: 0.00012767 [meta_shard_fg_expand]: 3.66e-05 [get_grad_eliminate_]: 6.103e-05 [merge_forward]: 3.447e-05 [cell_reuse_recompute_pass]: 1.79e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00013554 [j_node_and_user_rematch]: 0.00011372 [meta_fg_expand]: 0.0155935 [replace_old_param]: 0.00037002 [inline_without_move]: 0.00040045 [renormalize]: 0.13796 [add_forward_monad_depend]: 6.277e-05 [auto_monad_grad]: 3.615e-05 [auto_monad_eliminator]: 0.00051066 [cse]: 0.0010278 [replace_applicator]: 0.00062902 [Cycle 2]: 0.0351789, [27] [switch_simplify]: 0.00032467 [loop_unroll]: 0.00031601 [a_1]: 0.0233802 [with_stream_mark]: 0.00017493 [recompute_prepare]: 6.962e-05 [updatestate_depend_eliminate]: 8.524e-05 [updatestate_assign_eliminate]: 3.689e-05 [updatestate_loads_eliminate]: 0.00010929 [parameter_eliminate]: 3.01999e-06 [specialize_transform]: 5.559e-05 [updatestate_useless_node_eliminater]: 7.131e-05 [accelerated_algorithm]: 5.887e-05 [meta_shard_fg_expand]: 2.011e-05 [get_grad_eliminate_]: 4.804e-05 [merge_forward]: 2.772e-05 [cell_reuse_recompute_pass]: 1.59998e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.226e-05 [j_node_and_user_rematch]: 8.199e-05 [meta_fg_expand]: 0.00106189 [replace_old_param]: 7.641e-05 [inline_without_move]: 5.006e-05 [renormalize]: 0.0082674 [add_forward_monad_depend]: 2.238e-05 [auto_monad_grad]: 2.61999e-06 [auto_monad_eliminator]: 0.00015429 [cse]: 0.00021361 [replace_applicator]: 7.178e-05 [Cycle 3]: 0.00599951, [27] [switch_simplify]: 4.817e-05 [loop_unroll]: 4.687e-05 [a_1]: 0.00172771 [with_stream_mark]: 4.955e-05 [recompute_prepare]: 4.997e-05 [updatestate_depend_eliminate]: 5.081e-05 [updatestate_assign_eliminate]: 3.264e-05 [updatestate_loads_eliminate]: 3.407e-05 [parameter_eliminate]: 2.83e-06 [specialize_transform]: 5.009e-05 [updatestate_useless_node_eliminater]: 6.422e-05 [accelerated_algorithm]: 6.193e-05 [meta_shard_fg_expand]: 1.058e-05 [get_grad_eliminate_]: 4.371e-05 [merge_forward]: 2.558e-05 [cell_reuse_recompute_pass]: 3.56999e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.208e-05 [j_node_and_user_rematch]: 7.74e-05 [meta_fg_expand]: 1.77e-05 [replace_old_param]: 5.635e-05 [inline_without_move]: 4.378e-05 [renormalize]: 0.00287584 [add_forward_monad_depend]: 7.85998e-06 [auto_monad_grad]: 2.24001e-06 [auto_monad_eliminator]: 9.732e-05 [cse]: 0.00016605 [replace_applicator]: 5.553e-05 [Cycle 4]: 0.00265131, [27] [switch_simplify]: 4.439e-05 [loop_unroll]: 4.407e-05 [a_1]: 0.00138854 [with_stream_mark]: 4.057e-05 [recompute_prepare]: 4.587e-05 [updatestate_depend_eliminate]: 2.978e-05 [updatestate_assign_eliminate]: 2.846e-05 [updatestate_loads_eliminate]: 3.045e-05 [parameter_eliminate]: 1.468e-05 [specialize_transform]: 4.548e-05 [updatestate_useless_node_eliminater]: 6.287e-05 [accelerated_algorithm]: 5.432e-05 [meta_shard_fg_expand]: 1.014e-05 [get_grad_eliminate_]: 4.229e-05 [merge_forward]: 2.606e-05 [cell_reuse_recompute_pass]: 3.23e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.959e-05 [j_node_and_user_rematch]: 7.732e-05 [meta_fg_expand]: 1.728e-05 [replace_old_param]: 5.775e-05 [inline_without_move]: 4.336e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 3.10998e-06 [auto_monad_grad]: 2.27001e-06 [auto_monad_eliminator]: 9.963e-05 [cse]: 0.00013307 [replace_applicator]: 4.727e-05 [py_interpret_to_execute_after_opt_a]: 4.947e-05 [rewriter_after_opt_a]: 0.00040741 [convert_after_rewriter]: 3.592e-05 [order_py_execute_after_rewriter]: 2.408e-05 [mutable_eliminate]: 0.0008305 [jit_opt_b]: 0.00028182, [1] [Cycle 1]: 0.00027217, [2] [frontend_op_eliminate]: 0.00013777 [inline_after_opt_a]: 0.0001195 [cconv]: 4.676e-05 [loop_unroll]: 0.00055156 [jit_opt_after_cconv]: 0.00083455, [1] [Cycle 1]: 0.00082517, [11] [c_1]: 0.00026682 [parameter_eliminate]: 4.97e-06 [updatestate_depend_eliminate]: 3.433e-05 [updatestate_assign_eliminate]: 3.184e-05 [updatestate_loads_eliminate]: 3.159e-05 [cse]: 0.00013845 [call_graph_tuple_transform]: 0.00014367 [tuple_list_get_item_eliminator]: 4.592e-05 [none_parameter_eliminate]: 2.34999e-06 [renormalize]: 6.30011e-07 [switch_simplify]: 4.472e-05 [remove_dup_value]: 0.00014219 [partial_unused_args_eliminate]: 3.57002e-06 [environ_conv]: 2.951e-05 [add_recomputation]: 0.00028605 [cse_after_recomputation]: 0.00013894, [1] [Cycle 1]: 0.00013012, [1] [cse]: 0.00011788 [auto_monad_reorder]: 0.00011724 [get_jit_bprop_graph]: 2.71999e-06 [rewriter_after_jit_bprop_graph]: 0.00059264 [opt_after_jit_grad]: 0.00080245 [symbol_engine_optimizer]: 0.00032151, [1] [Cycle 1]: 0.00031313, [6] [build]: 2.405e-05 [elim_shapecalc]: 5.073e-05 [elim_not_effective]: 8.216e-05 [opt_reshape]: 4.714e-05 [fold_const_symbol]: 7.522e-05 [renormalize]: 7.80012e-07 [validate]: 0.00018211 [backend_pass]: 1.55999e-06 [task_emit]: 0.0699606 [execute]: 9.17001e-06 Sums bootstrap : 0.000409s : 0.02% type_inference : 1.559808s : 82.17% event_method : 0.000369s : 0.02% auto_monad : 0.002143s : 0.11% graph_reusing : 0.000132s : 0.01% pre_auto_parallel : 0.000017s : 0.00% py_interpret_to_execute : 0.000508s : 0.03% rewriter_before_opt_a : 0.016258s : 0.86% expand_dump_flag : 0.000055s : 0.00% jit_opt_a.switch_simplify : 0.002052s : 0.11% jit_opt_a.loop_unroll : 0.001061s : 0.06% jit_opt_a.a_1 : 0.065897s : 3.47% jit_opt_a.with_stream_mark : 0.000444s : 0.02% jit_opt_a.recompute_prepare : 0.000283s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000760s : 0.04% jit_opt_a.updatestate_assign_eliminate : 0.000147s : 0.01% jit_opt_a.updatestate_loads_eliminate : 0.000292s : 0.02% jit_opt_a.parameter_eliminate : 0.000025s : 0.00% jit_opt_a.specialize_transform : 0.000226s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000293s : 0.02% jit_opt_a.accelerated_algorithm : 0.000303s : 0.02% jit_opt_a.meta_shard_fg_expand : 0.000077s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000195s : 0.01% jit_opt_a.merge_forward : 0.000114s : 0.01% jit_opt_a.cell_reuse_recompute_pass : 0.000010s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000409s : 0.02% jit_opt_a.j_node_and_user_rematch : 0.000350s : 0.02% jit_opt_a.meta_fg_expand : 0.016690s : 0.88% jit_opt_a.replace_old_param : 0.000561s : 0.03% jit_opt_a.inline_without_move : 0.000538s : 0.03% jit_opt_a.renormalize : 0.149104s : 7.85% jit_opt_a.add_forward_monad_depend : 0.000096s : 0.01% jit_opt_a.auto_monad_grad : 0.000043s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000862s : 0.05% jit_opt_a.cse : 0.001541s : 0.08% jit_opt_a.replace_applicator : 0.000804s : 0.04% py_interpret_to_execute_after_opt_a : 0.000049s : 0.00% rewriter_after_opt_a : 0.000407s : 0.02% convert_after_rewriter : 0.000036s : 0.00% order_py_execute_after_rewriter : 0.000024s : 0.00% mutable_eliminate : 0.000831s : 0.04% jit_opt_b.frontend_op_eliminate : 0.000138s : 0.01% jit_opt_b.inline_after_opt_a : 0.000120s : 0.01% cconv : 0.000047s : 0.00% loop_unroll : 0.000552s : 0.03% jit_opt_after_cconv.c_1 : 0.000267s : 0.01% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000034s : 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 : 0.000138s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000144s : 0.01% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000046s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000045s : 0.00% remove_dup_value : 0.000142s : 0.01% partial_unused_args_eliminate : 0.000004s : 0.00% environ_conv : 0.000030s : 0.00% add_recomputation : 0.000286s : 0.02% cse_after_recomputation.cse : 0.000118s : 0.01% auto_monad_reorder : 0.000117s : 0.01% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000593s : 0.03% opt_after_jit_grad : 0.000802s : 0.04% symbol_engine_optimizer.build : 0.000024s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000051s : 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 : 0.000075s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000182s : 0.01% backend_pass : 0.000002s : 0.00% task_emit : 0.069961s : 3.69% execute : 0.000009s : 0.00% Time group info: ------[substitution.] 0.009824 1549 0.97% : 0.000095s : 5: substitution.arithmetic_simplify 0.24% : 0.000024s : 3: substitution.cast_eliminate 1.08% : 0.000106s : 51: substitution.depend_value_elim 0.11% : 0.000011s : 32: substitution.elim_not_effective 0.09% : 0.000009s : 4: substitution.environ_get_add_eliminate 0.04% : 0.000004s : 2: substitution.environ_get_depend_swap 0.08% : 0.000008s : 4: substitution.environ_get_eliminate 0.22% : 0.000022s : 4: substitution.environ_get_set_eliminate 0.10% : 0.000010s : 32: substitution.fold_const_symbol 15.18% : 0.001491s : 8: substitution.getattr_setattr_resolve 0.56% : 0.000055s : 43: substitution.graph_param_transform 57.69% : 0.005668s : 174: substitution.inline 1.15% : 0.000113s : 12: substitution.inline_without_move 0.58% : 0.000057s : 147: substitution.j_node_and_user_rematch 0.63% : 0.000062s : 17: substitution.less_batch_normalization 0.33% : 0.000032s : 1: substitution.list_to_tuple_eliminator_ 0.31% : 0.000030s : 30: substitution.load_eliminater 0.97% : 0.000096s : 69: substitution.minmaximum_grad 0.01% : 0.000001s : 1: substitution.opt_reshape 0.30% : 0.000030s : 12: substitution.partial_eliminate 0.24% : 0.000024s : 6: substitution.reduce_eliminate 0.10% : 0.000010s : 5: substitution.redundant_stop_gradient_eliminater 0.87% : 0.000086s : 147: substitution.remove_not_recompute_node 1.64% : 0.000161s : 55: substitution.replace_applicator 0.49% : 0.000048s : 72: substitution.replace_old_param 0.88% : 0.000087s : 14: substitution.reshape_eliminate 0.04% : 0.000004s : 1: substitution.set_cell_output_no_recompute 0.04% : 0.000004s : 3: substitution.split_environ_get_set_with_tuple_value 0.85% : 0.000084s : 34: substitution.switch_simplify 0.07% : 0.000006s : 1: substitution.tile_eliminate 3.10% : 0.000304s : 79: substitution.tuple_list_convert_item_index_to_positive 2.53% : 0.000248s : 88: substitution.tuple_list_get_item_depend_reorder 4.54% : 0.000446s : 167: substitution.tuple_list_get_item_eliminator 1.16% : 0.000114s : 101: substitution.updatestate_pure_node_eliminater 2.80% : 0.000275s : 125: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.559084 2 93.63% : 1.459795s : 1: type_inference.infer 6.37% : 0.099289s : 1: type_inference.specialize ------[replace.] 0.005307 322 0.17% : 0.000009s : 1: replace.arithmetic_simplify 0.45% : 0.000024s : 3: replace.cast_eliminate 0.69% : 0.000037s : 5: replace.depend_value_elim 0.50% : 0.000026s : 2: replace.environ_get_set_eliminate 1.98% : 0.000105s : 6: replace.getattr_setattr_resolve 66.95% : 0.003553s : 174: replace.inline 0.35% : 0.000018s : 1: replace.list_to_tuple_eliminator_ 0.57% : 0.000031s : 2: replace.partial_eliminate 1.50% : 0.000080s : 3: replace.replace_applicator 0.10% : 0.000005s : 1: replace.reshape_eliminate 8.80% : 0.000467s : 34: replace.switch_simplify 1.91% : 0.000101s : 9: replace.tuple_list_get_item_depend_reorder 15.66% : 0.000831s : 79: replace.tuple_list_get_item_eliminator 0.38% : 0.000020s : 2: replace.updatestate_useless_node_eliminater ------[match.] 0.007481 322 0.70% : 0.000052s : 1: match.arithmetic_simplify 0.29% : 0.000021s : 3: match.cast_eliminate 0.06% : 0.000004s : 5: match.depend_value_elim 0.23% : 0.000017s : 2: match.environ_get_set_eliminate 18.42% : 0.001378s : 6: match.getattr_setattr_resolve 74.44% : 0.005569s : 174: match.inline 0.42% : 0.000031s : 1: match.list_to_tuple_eliminator_ 0.18% : 0.000014s : 2: match.partial_eliminate 0.39% : 0.000029s : 3: match.replace_applicator 0.03% : 0.000002s : 1: match.reshape_eliminate 0.86% : 0.000065s : 34: match.switch_simplify 1.14% : 0.000086s : 9: match.tuple_list_get_item_depend_reorder 2.64% : 0.000197s : 79: match.tuple_list_get_item_eliminator 0.21% : 0.000016s : 2: match.updatestate_useless_node_eliminater ------[predicate.] 0.005169 34229 1.51% : 0.000078s : 587: predicate.accumulaten_eliminater 0.21% : 0.000011s : 43: predicate.ad_related_special_op_eliminate 1.50% : 0.000078s : 587: predicate.addn_check_dump 1.58% : 0.000082s : 587: predicate.addn_zero_filter 2.04% : 0.000106s : 588: predicate.arithmetic_simplify 1.54% : 0.000080s : 592: predicate.cast_eliminate 0.12% : 0.000006s : 43: predicate.check_bprop_eliminate 1.50% : 0.000078s : 587: predicate.compare_switch_simplify 1.78% : 0.000092s : 587: predicate.depend_value_elim 1.54% : 0.000080s : 594: predicate.dict_get_item_const_eliminator 1.61% : 0.000083s : 594: predicate.dict_get_item_eliminator 1.55% : 0.000080s : 594: predicate.dict_set_item_eliminator 0.15% : 0.000008s : 43: predicate.dumpgradient_eliminate 0.07% : 0.000003s : 43: predicate.elim_not_effective 0.13% : 0.000007s : 43: predicate.elim_shapecalc_of_broadcastargs 1.53% : 0.000079s : 592: predicate.environ_add_const_eliminate 1.53% : 0.000079s : 594: predicate.environ_get_add_eliminate 1.53% : 0.000079s : 592: predicate.environ_get_depend_swap 1.58% : 0.000082s : 594: predicate.environ_get_eliminate 1.56% : 0.000080s : 594: predicate.environ_get_set_eliminate 0.06% : 0.000003s : 43: predicate.fold_const_symbol 0.55% : 0.000029s : 198: predicate.get_grad_eliminate 0.24% : 0.000012s : 40: predicate.getattr_setattr_resolve 0.06% : 0.000003s : 43: predicate.graph_param_transform 4.06% : 0.000210s : 947: predicate.inline 1.34% : 0.000069s : 404: predicate.inline_without_move 0.28% : 0.000015s : 198: predicate.j_node_and_user_rematch 0.70% : 0.000036s : 208: predicate.less_batch_normalization 1.83% : 0.000095s : 683: predicate.list_to_tuple_eliminator_ 1.98% : 0.000102s : 728: predicate.load_eliminater 0.21% : 0.000011s : 43: predicate.loop_unroll_after_grad 3.58% : 0.000185s : 1170: predicate.loop_unroll_before_grad 1.76% : 0.000091s : 646: predicate.make_slice_get_slice_eliminator 1.49% : 0.000077s : 587: predicate.merge_addn 1.56% : 0.000080s : 588: predicate.minmaximum_grad 0.20% : 0.000010s : 43: predicate.mutable_eliminate 0.12% : 0.000006s : 43: predicate.opt_reshape 2.35% : 0.000121s : 728: predicate.partial_eliminate 1.50% : 0.000078s : 582: predicate.print_const_string_wrapper 1.98% : 0.000102s : 588: predicate.reduce_eliminate 1.84% : 0.000095s : 685: predicate.redundant_stop_gradient_eliminater 0.29% : 0.000015s : 198: predicate.remove_not_recompute_node 2.15% : 0.000111s : 1167: predicate.replace_applicator 0.60% : 0.000031s : 404: predicate.replace_old_param 0.07% : 0.000004s : 43: predicate.reset_defer_inline 1.67% : 0.000086s : 589: predicate.reshape_eliminate 1.55% : 0.000080s : 582: predicate.row_tensor_add_zeros_like 0.14% : 0.000007s : 43: predicate.row_tensor_eliminate 1.56% : 0.000080s : 582: predicate.same_eliminate 0.38% : 0.000020s : 243: predicate.set_cell_output_no_recompute 0.25% : 0.000013s : 86: predicate.special_op_eliminate 0.60% : 0.000031s : 198: predicate.specialize_transform 1.82% : 0.000094s : 582: predicate.split_environ_get_set_with_tuple_value 1.52% : 0.000078s : 582: predicate.stack_unstack_eliminate 0.13% : 0.000007s : 43: predicate.switch_call_monad_eliminater 3.53% : 0.000183s : 861: predicate.switch_defer_inline 2.52% : 0.000130s : 861: predicate.switch_layer_defer_inline 8.38% : 0.000433s : 2142: predicate.switch_simplify 1.58% : 0.000082s : 588: predicate.tile_eliminate 1.54% : 0.000080s : 588: predicate.transpose_eliminate 2.05% : 0.000106s : 594: predicate.tuple_list_convert_item_index_to_positive 1.91% : 0.000099s : 603: predicate.tuple_list_get_item_depend_reorder 2.92% : 0.000151s : 768: predicate.tuple_list_get_item_eliminator 1.87% : 0.000097s : 603: predicate.tuple_list_set_item_eliminator 1.79% : 0.000093s : 682: predicate.tuple_to_list_eliminator_ 2.01% : 0.000104s : 728: predicate.updatestate_pure_node_eliminater 2.70% : 0.000140s : 928: predicate.updatestate_useless_node_eliminater 1.95% : 0.000101s : 582: predicate.value_based_eliminate 0.12% : 0.000006s : 43: predicate.virtual_view_grad_eliminate 0.14% : 0.000007s : 43: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.090734 415 74.42% : 0.067525s : 212: func_graph_cloner_run.FuncGraphClonerGraph 25.58% : 0.023209s : 203: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.138560 110 0.01% : 0.000292s : 1: add_recomputation 0.10% : 0.002154s : 1: auto_monad 0.01% : 0.000123s : 1: auto_monad_reorder 0.00% : 0.000006s : 1: backend_pass 0.02% : 0.000427s : 1: bootstrap 0.00% : 0.000050s : 1: cconv 0.00% : 0.000039s : 1: convert_after_rewriter 0.01% : 0.000142s : 1: cse_after_recomputation 0.00% : 0.000032s : 1: environ_conv 0.02% : 0.000378s : 1: event_method 0.00% : 0.000015s : 1: execute 0.00% : 0.000061s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000138s : 1: graph_reusing 12.06% : 0.257877s : 1: jit_opt_a 0.04% : 0.000838s : 1: jit_opt_after_cconv 0.01% : 0.000285s : 1: jit_opt_b 0.03% : 0.000562s : 1: loop_unroll 0.04% : 0.000841s : 1: mutable_eliminate 3.41% : 0.072868s : 52: opt.transform.jit_opt_a 0.02% : 0.000495s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000248s : 4: opt.transform.jit_opt_b 0.00% : 0.000060s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000061s : 1: opt.transform.mutable_eliminate 0.01% : 0.000157s : 1: opt.transform.opt_after_jit_grad 0.08% : 0.001757s : 4: opt.transform.opt_resolve 0.01% : 0.000251s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000814s : 1: opt_after_jit_grad 0.00% : 0.000027s : 1: order_py_execute_after_rewriter 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000020s : 1: pre_auto_parallel 0.02% : 0.000514s : 1: py_interpret_to_execute 0.00% : 0.000053s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000146s : 1: remove_dup_value 3.72% : 0.079642s : 3: renormalize.infer 3.25% : 0.069415s : 3: renormalize.specialize 0.03% : 0.000601s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000414s : 1: rewriter_after_opt_a 0.76% : 0.016284s : 1: rewriter_before_opt_a 0.02% : 0.000325s : 1: symbol_engine_optimizer 3.27% : 0.069980s : 1: task_emit 72.94% : 1.559828s : 1: type_inference 0.02% : 0.000329s : 1: validate [WARNING] ME(171177:281473318367024,MainProcess):2026-01-29-17:44:34.352.898 [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(171177,ffff9d27af30,python3.9):2026-01-29-17:44:35.855.585 [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 = 1.71922, [33] [bootstrap]: 0.00031885 [type_inference]: 1.49987 [event_method]: 0.00045651 [auto_monad]: 0.00253529 [graph_reusing]: 0.00015454 [pre_auto_parallel]: 2.972e-05 [py_interpret_to_execute]: 0.0148761 [rewriter_before_opt_a]: 0.00489544 [expand_dump_flag]: 6.061e-05 [jit_opt_a]: 0.157764, [4] [Cycle 1]: 0.122025, [27] [switch_simplify]: 0.00190596 [loop_unroll]: 0.00065691 [a_1]: 0.0299684 [with_stream_mark]: 0.00017236 [recompute_prepare]: 0.00012253 [updatestate_depend_eliminate]: 0.00058968 [updatestate_assign_eliminate]: 5.089e-05 [updatestate_loads_eliminate]: 0.00012477 [parameter_eliminate]: 5.05001e-06 [specialize_transform]: 8.136e-05 [updatestate_useless_node_eliminater]: 9.658e-05 [accelerated_algorithm]: 0.00013152 [meta_shard_fg_expand]: 3.608e-05 [get_grad_eliminate_]: 6.272e-05 [merge_forward]: 3.897e-05 [cell_reuse_recompute_pass]: 1.87001e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00012117 [j_node_and_user_rematch]: 0.00011247 [meta_fg_expand]: 0.0252834 [replace_old_param]: 0.00039946 [inline_without_move]: 0.00040734 [renormalize]: 0.0581728 [add_forward_monad_depend]: 6.199e-05 [auto_monad_grad]: 4.051e-05 [auto_monad_eliminator]: 0.00105469 [cse]: 0.00110706 [replace_applicator]: 0.00066416 [Cycle 2]: 0.0223278, [27] [switch_simplify]: 0.00034392 [loop_unroll]: 0.00031931 [a_1]: 0.00988751 [with_stream_mark]: 0.00017106 [recompute_prepare]: 7.283e-05 [updatestate_depend_eliminate]: 7.9e-05 [updatestate_assign_eliminate]: 3.589e-05 [updatestate_loads_eliminate]: 0.00011281 [parameter_eliminate]: 3.28e-06 [specialize_transform]: 5.542e-05 [updatestate_useless_node_eliminater]: 7.39e-05 [accelerated_algorithm]: 5.883e-05 [meta_shard_fg_expand]: 2.09e-05 [get_grad_eliminate_]: 4.842e-05 [merge_forward]: 3.122e-05 [cell_reuse_recompute_pass]: 1.80001e-06 [cell_reuse_handle_not_recompute_node_pass]: 9.315e-05 [j_node_and_user_rematch]: 8.521e-05 [meta_fg_expand]: 0.0011076 [replace_old_param]: 8.583e-05 [inline_without_move]: 4.975e-05 [renormalize]: 0.00877228 [add_forward_monad_depend]: 1.282e-05 [auto_monad_grad]: 2.45002e-06 [auto_monad_eliminator]: 0.00017034 [cse]: 0.00020657 [replace_applicator]: 6.984e-05 [Cycle 3]: 0.00586967, [27] [switch_simplify]: 4.618e-05 [loop_unroll]: 4.498e-05 [a_1]: 0.00142642 [with_stream_mark]: 4.637e-05 [recompute_prepare]: 4.643e-05 [updatestate_depend_eliminate]: 2.962e-05 [updatestate_assign_eliminate]: 3.047e-05 [updatestate_loads_eliminate]: 3.213e-05 [parameter_eliminate]: 2.24999e-06 [specialize_transform]: 4.545e-05 [updatestate_useless_node_eliminater]: 6.316e-05 [accelerated_algorithm]: 5.367e-05 [meta_shard_fg_expand]: 1.104e-05 [get_grad_eliminate_]: 4.42e-05 [merge_forward]: 2.826e-05 [cell_reuse_recompute_pass]: 4.25e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.7e-05 [j_node_and_user_rematch]: 7.834e-05 [meta_fg_expand]: 1.748e-05 [replace_old_param]: 5.612e-05 [inline_without_move]: 4.449e-05 [renormalize]: 0.00304434 [add_forward_monad_depend]: 8.87e-06 [auto_monad_grad]: 2.11e-06 [auto_monad_eliminator]: 0.00010034 [cse]: 0.00018693 [replace_applicator]: 6.041e-05 [Cycle 4]: 0.00261121, [27] [switch_simplify]: 4.38e-05 [loop_unroll]: 4.243e-05 [a_1]: 0.00135602 [with_stream_mark]: 4.358e-05 [recompute_prepare]: 4.564e-05 [updatestate_depend_eliminate]: 2.966e-05 [updatestate_assign_eliminate]: 2.882e-05 [updatestate_loads_eliminate]: 2.955e-05 [parameter_eliminate]: 2.08998e-06 [specialize_transform]: 4.42e-05 [updatestate_useless_node_eliminater]: 6.501e-05 [accelerated_algorithm]: 5.333e-05 [meta_shard_fg_expand]: 1.085e-05 [get_grad_eliminate_]: 4.29e-05 [merge_forward]: 2.765e-05 [cell_reuse_recompute_pass]: 2.56e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.414e-05 [j_node_and_user_rematch]: 7.626e-05 [meta_fg_expand]: 1.709e-05 [replace_old_param]: 5.573e-05 [inline_without_move]: 4.462e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 3.35e-06 [auto_monad_grad]: 2.11e-06 [auto_monad_eliminator]: 8.546e-05 [cse]: 0.00013517 [replace_applicator]: 4.984e-05 [py_interpret_to_execute_after_opt_a]: 4.991e-05 [rewriter_after_opt_a]: 0.00041673 [convert_after_rewriter]: 3.703e-05 [order_py_execute_after_rewriter]: 2.462e-05 [mutable_eliminate]: 0.00085183 [jit_opt_b]: 0.00027643, [1] [Cycle 1]: 0.00026748, [2] [frontend_op_eliminate]: 0.00013401 [inline_after_opt_a]: 0.00011759 [cconv]: 4.59e-05 [loop_unroll]: 0.00054014 [jit_opt_after_cconv]: 0.00081418, [1] [Cycle 1]: 0.00080493, [11] [c_1]: 0.00026511 [parameter_eliminate]: 4.53999e-06 [updatestate_depend_eliminate]: 3.718e-05 [updatestate_assign_eliminate]: 3.094e-05 [updatestate_loads_eliminate]: 5.075e-05 [cse]: 0.00014064 [call_graph_tuple_transform]: 0.00011223 [tuple_list_get_item_eliminator]: 4.375e-05 [none_parameter_eliminate]: 2.54001e-06 [renormalize]: 5.39992e-07 [switch_simplify]: 4.276e-05 [remove_dup_value]: 0.00013579 [partial_unused_args_eliminate]: 3.06001e-06 [environ_conv]: 2.767e-05 [add_recomputation]: 0.00026469 [cse_after_recomputation]: 0.00014267, [1] [Cycle 1]: 0.00013233, [1] [cse]: 0.00011711 [auto_monad_reorder]: 0.00011213 [get_jit_bprop_graph]: 2.69001e-06 [rewriter_after_jit_bprop_graph]: 0.00033298 [opt_after_jit_grad]: 0.00078801 [symbol_engine_optimizer]: 0.00033014, [1] [Cycle 1]: 0.00032136, [6] [build]: 2.528e-05 [elim_shapecalc]: 5.356e-05 [elim_not_effective]: 8.182e-05 [opt_reshape]: 4.649e-05 [fold_const_symbol]: 7.552e-05 [renormalize]: 4.80009e-07 [validate]: 0.00015549 [backend_pass]: 1.42999e-06 [task_emit]: 0.032337 [execute]: 9.39e-06 Sums bootstrap : 0.000319s : 0.02% type_inference : 1.499874s : 87.60% event_method : 0.000457s : 0.03% auto_monad : 0.002535s : 0.15% graph_reusing : 0.000155s : 0.01% pre_auto_parallel : 0.000030s : 0.00% py_interpret_to_execute : 0.014876s : 0.87% rewriter_before_opt_a : 0.004895s : 0.29% expand_dump_flag : 0.000061s : 0.00% jit_opt_a.switch_simplify : 0.002340s : 0.14% jit_opt_a.loop_unroll : 0.001064s : 0.06% jit_opt_a.a_1 : 0.042638s : 2.49% jit_opt_a.with_stream_mark : 0.000433s : 0.03% jit_opt_a.recompute_prepare : 0.000287s : 0.02% jit_opt_a.updatestate_depend_eliminate : 0.000728s : 0.04% jit_opt_a.updatestate_assign_eliminate : 0.000146s : 0.01% jit_opt_a.updatestate_loads_eliminate : 0.000299s : 0.02% jit_opt_a.parameter_eliminate : 0.000013s : 0.00% jit_opt_a.specialize_transform : 0.000226s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000299s : 0.02% jit_opt_a.accelerated_algorithm : 0.000297s : 0.02% jit_opt_a.meta_shard_fg_expand : 0.000079s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000198s : 0.01% jit_opt_a.merge_forward : 0.000126s : 0.01% jit_opt_a.cell_reuse_recompute_pass : 0.000010s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000385s : 0.02% jit_opt_a.j_node_and_user_rematch : 0.000352s : 0.02% jit_opt_a.meta_fg_expand : 0.026426s : 1.54% jit_opt_a.replace_old_param : 0.000597s : 0.03% jit_opt_a.inline_without_move : 0.000546s : 0.03% jit_opt_a.renormalize : 0.069989s : 4.09% jit_opt_a.add_forward_monad_depend : 0.000087s : 0.01% jit_opt_a.auto_monad_grad : 0.000047s : 0.00% jit_opt_a.auto_monad_eliminator : 0.001411s : 0.08% jit_opt_a.cse : 0.001636s : 0.10% jit_opt_a.replace_applicator : 0.000844s : 0.05% py_interpret_to_execute_after_opt_a : 0.000050s : 0.00% rewriter_after_opt_a : 0.000417s : 0.02% convert_after_rewriter : 0.000037s : 0.00% order_py_execute_after_rewriter : 0.000025s : 0.00% mutable_eliminate : 0.000852s : 0.05% jit_opt_b.frontend_op_eliminate : 0.000134s : 0.01% jit_opt_b.inline_after_opt_a : 0.000118s : 0.01% cconv : 0.000046s : 0.00% loop_unroll : 0.000540s : 0.03% jit_opt_after_cconv.c_1 : 0.000265s : 0.02% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000037s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000031s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000051s : 0.00% jit_opt_after_cconv.cse : 0.000141s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000112s : 0.01% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000044s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000043s : 0.00% remove_dup_value : 0.000136s : 0.01% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000028s : 0.00% add_recomputation : 0.000265s : 0.02% cse_after_recomputation.cse : 0.000117s : 0.01% auto_monad_reorder : 0.000112s : 0.01% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000333s : 0.02% opt_after_jit_grad : 0.000788s : 0.05% symbol_engine_optimizer.build : 0.000025s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000054s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000082s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000046s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000076s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000155s : 0.01% backend_pass : 0.000001s : 0.00% task_emit : 0.032337s : 1.89% execute : 0.000009s : 0.00% Time group info: ------[substitution.] 0.020355 1549 0.53% : 0.000107s : 5: substitution.arithmetic_simplify 0.12% : 0.000025s : 3: substitution.cast_eliminate 0.64% : 0.000130s : 51: substitution.depend_value_elim 0.05% : 0.000011s : 32: substitution.elim_not_effective 0.05% : 0.000011s : 4: substitution.environ_get_add_eliminate 0.02% : 0.000004s : 2: substitution.environ_get_depend_swap 0.05% : 0.000009s : 4: substitution.environ_get_eliminate 0.12% : 0.000024s : 4: substitution.environ_get_set_eliminate 0.05% : 0.000010s : 32: substitution.fold_const_symbol 52.74% : 0.010735s : 8: substitution.getattr_setattr_resolve 0.14% : 0.000028s : 43: substitution.graph_param_transform 33.08% : 0.006734s : 174: substitution.inline 0.47% : 0.000096s : 12: substitution.inline_without_move 0.28% : 0.000056s : 147: substitution.j_node_and_user_rematch 0.32% : 0.000065s : 17: substitution.less_batch_normalization 0.16% : 0.000032s : 1: substitution.list_to_tuple_eliminator_ 0.15% : 0.000031s : 30: substitution.load_eliminater 0.46% : 0.000094s : 69: substitution.minmaximum_grad 0.01% : 0.000001s : 1: substitution.opt_reshape 0.18% : 0.000037s : 12: substitution.partial_eliminate 0.13% : 0.000026s : 6: substitution.reduce_eliminate 0.04% : 0.000008s : 5: substitution.redundant_stop_gradient_eliminater 0.40% : 0.000082s : 147: substitution.remove_not_recompute_node 0.88% : 0.000179s : 55: substitution.replace_applicator 0.25% : 0.000050s : 72: substitution.replace_old_param 0.49% : 0.000101s : 14: substitution.reshape_eliminate 0.03% : 0.000006s : 1: substitution.set_cell_output_no_recompute 0.02% : 0.000004s : 3: substitution.split_environ_get_set_with_tuple_value 0.40% : 0.000082s : 34: substitution.switch_simplify 0.03% : 0.000007s : 1: substitution.tile_eliminate 1.66% : 0.000337s : 79: substitution.tuple_list_convert_item_index_to_positive 1.41% : 0.000286s : 88: substitution.tuple_list_get_item_depend_reorder 2.53% : 0.000515s : 167: substitution.tuple_list_get_item_eliminator 0.65% : 0.000132s : 101: substitution.updatestate_pure_node_eliminater 1.48% : 0.000301s : 125: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.498537 2 95.96% : 1.438001s : 1: type_inference.infer 4.04% : 0.060536s : 1: type_inference.specialize ------[replace.] 0.013869 322 0.11% : 0.000015s : 1: replace.arithmetic_simplify 0.21% : 0.000029s : 3: replace.cast_eliminate 0.29% : 0.000040s : 5: replace.depend_value_elim 0.27% : 0.000038s : 2: replace.environ_get_set_eliminate 1.12% : 0.000156s : 6: replace.getattr_setattr_resolve 14.04% : 0.001947s : 174: replace.inline 0.14% : 0.000019s : 1: replace.list_to_tuple_eliminator_ 0.29% : 0.000040s : 2: replace.partial_eliminate 0.65% : 0.000090s : 3: replace.replace_applicator 69.06% : 0.009578s : 1: replace.reshape_eliminate 6.14% : 0.000851s : 34: replace.switch_simplify 0.92% : 0.000127s : 9: replace.tuple_list_get_item_depend_reorder 6.58% : 0.000912s : 79: replace.tuple_list_get_item_eliminator 0.18% : 0.000026s : 2: replace.updatestate_useless_node_eliminater ------[match.] 0.017807 322 0.33% : 0.000059s : 1: match.arithmetic_simplify 0.12% : 0.000022s : 3: match.cast_eliminate 0.03% : 0.000006s : 5: match.depend_value_elim 0.10% : 0.000019s : 2: match.environ_get_set_eliminate 59.28% : 0.010557s : 6: match.getattr_setattr_resolve 37.19% : 0.006622s : 174: match.inline 0.17% : 0.000030s : 1: match.list_to_tuple_eliminator_ 0.10% : 0.000018s : 2: match.partial_eliminate 0.19% : 0.000033s : 3: match.replace_applicator 0.02% : 0.000004s : 1: match.reshape_eliminate 0.38% : 0.000067s : 34: match.switch_simplify 0.67% : 0.000119s : 9: match.tuple_list_get_item_depend_reorder 1.30% : 0.000232s : 79: match.tuple_list_get_item_eliminator 0.10% : 0.000018s : 2: match.updatestate_useless_node_eliminater ------[predicate.] 0.005129 34229 1.53% : 0.000079s : 587: predicate.accumulaten_eliminater 0.20% : 0.000010s : 43: predicate.ad_related_special_op_eliminate 1.50% : 0.000077s : 587: predicate.addn_check_dump 1.57% : 0.000081s : 587: predicate.addn_zero_filter 2.02% : 0.000104s : 588: predicate.arithmetic_simplify 1.55% : 0.000079s : 592: predicate.cast_eliminate 0.12% : 0.000006s : 43: predicate.check_bprop_eliminate 1.51% : 0.000077s : 587: predicate.compare_switch_simplify 1.76% : 0.000090s : 587: predicate.depend_value_elim 1.52% : 0.000078s : 594: predicate.dict_get_item_const_eliminator 1.57% : 0.000081s : 594: predicate.dict_get_item_eliminator 1.54% : 0.000079s : 594: predicate.dict_set_item_eliminator 0.15% : 0.000008s : 43: predicate.dumpgradient_eliminate 0.07% : 0.000004s : 43: predicate.elim_not_effective 0.13% : 0.000007s : 43: predicate.elim_shapecalc_of_broadcastargs 1.55% : 0.000080s : 592: predicate.environ_add_const_eliminate 1.55% : 0.000080s : 594: predicate.environ_get_add_eliminate 1.54% : 0.000079s : 592: predicate.environ_get_depend_swap 1.57% : 0.000081s : 594: predicate.environ_get_eliminate 1.56% : 0.000080s : 594: predicate.environ_get_set_eliminate 0.06% : 0.000003s : 43: predicate.fold_const_symbol 0.54% : 0.000028s : 198: predicate.get_grad_eliminate 0.36% : 0.000018s : 40: predicate.getattr_setattr_resolve 0.06% : 0.000003s : 43: predicate.graph_param_transform 4.05% : 0.000208s : 947: predicate.inline 1.67% : 0.000086s : 404: predicate.inline_without_move 0.28% : 0.000014s : 198: predicate.j_node_and_user_rematch 0.68% : 0.000035s : 208: predicate.less_batch_normalization 1.83% : 0.000094s : 683: predicate.list_to_tuple_eliminator_ 1.96% : 0.000101s : 728: predicate.load_eliminater 0.18% : 0.000009s : 43: predicate.loop_unroll_after_grad 3.54% : 0.000182s : 1170: predicate.loop_unroll_before_grad 1.73% : 0.000089s : 646: predicate.make_slice_get_slice_eliminator 1.49% : 0.000077s : 587: predicate.merge_addn 1.55% : 0.000080s : 588: predicate.minmaximum_grad 0.20% : 0.000010s : 43: predicate.mutable_eliminate 0.12% : 0.000006s : 43: predicate.opt_reshape 2.33% : 0.000120s : 728: predicate.partial_eliminate 1.50% : 0.000077s : 582: predicate.print_const_string_wrapper 1.94% : 0.000099s : 588: predicate.reduce_eliminate 1.88% : 0.000096s : 685: predicate.redundant_stop_gradient_eliminater 0.29% : 0.000015s : 198: predicate.remove_not_recompute_node 2.15% : 0.000110s : 1167: predicate.replace_applicator 0.63% : 0.000032s : 404: predicate.replace_old_param 0.06% : 0.000003s : 43: predicate.reset_defer_inline 1.55% : 0.000080s : 589: predicate.reshape_eliminate 1.53% : 0.000078s : 582: predicate.row_tensor_add_zeros_like 0.15% : 0.000008s : 43: predicate.row_tensor_eliminate 1.53% : 0.000079s : 582: predicate.same_eliminate 0.39% : 0.000020s : 243: predicate.set_cell_output_no_recompute 0.24% : 0.000012s : 86: predicate.special_op_eliminate 0.63% : 0.000032s : 198: predicate.specialize_transform 1.72% : 0.000088s : 582: predicate.split_environ_get_set_with_tuple_value 1.51% : 0.000077s : 582: predicate.stack_unstack_eliminate 0.12% : 0.000006s : 43: predicate.switch_call_monad_eliminater 4.08% : 0.000209s : 861: predicate.switch_defer_inline 2.50% : 0.000128s : 861: predicate.switch_layer_defer_inline 6.62% : 0.000340s : 2142: predicate.switch_simplify 1.55% : 0.000080s : 588: predicate.tile_eliminate 1.52% : 0.000078s : 588: predicate.transpose_eliminate 1.98% : 0.000102s : 594: predicate.tuple_list_convert_item_index_to_positive 1.87% : 0.000096s : 603: predicate.tuple_list_get_item_depend_reorder 3.19% : 0.000164s : 768: predicate.tuple_list_get_item_eliminator 1.88% : 0.000096s : 603: predicate.tuple_list_set_item_eliminator 2.83% : 0.000145s : 682: predicate.tuple_to_list_eliminator_ 2.00% : 0.000102s : 728: predicate.updatestate_pure_node_eliminater 2.69% : 0.000138s : 928: predicate.updatestate_useless_node_eliminater 2.03% : 0.000104s : 582: predicate.value_based_eliminate 0.11% : 0.000006s : 43: predicate.virtual_view_grad_eliminate 0.14% : 0.000007s : 43: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.136959 415 91.76% : 0.125676s : 212: func_graph_cloner_run.FuncGraphClonerGraph 8.24% : 0.011283s : 203: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.851299 110 0.01% : 0.000273s : 1: add_recomputation 0.14% : 0.002555s : 1: auto_monad 0.01% : 0.000118s : 1: auto_monad_reorder 0.00% : 0.000007s : 1: backend_pass 0.02% : 0.000346s : 1: bootstrap 0.00% : 0.000049s : 1: cconv 0.00% : 0.000041s : 1: convert_after_rewriter 0.01% : 0.000146s : 1: cse_after_recomputation 0.00% : 0.000030s : 1: environ_conv 0.03% : 0.000474s : 1: event_method 0.00% : 0.000015s : 1: execute 0.00% : 0.000066s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000163s : 1: graph_reusing 8.52% : 0.157769s : 1: jit_opt_a 0.04% : 0.000818s : 1: jit_opt_after_cconv 0.02% : 0.000280s : 1: jit_opt_b 0.03% : 0.000552s : 1: loop_unroll 0.05% : 0.000867s : 1: mutable_eliminate 2.70% : 0.049964s : 52: opt.transform.jit_opt_a 0.02% : 0.000459s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000243s : 4: opt.transform.jit_opt_b 0.00% : 0.000057s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000063s : 1: opt.transform.mutable_eliminate 0.01% : 0.000152s : 1: opt.transform.opt_after_jit_grad 0.60% : 0.011037s : 4: opt.transform.opt_resolve 0.01% : 0.000253s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000805s : 1: opt_after_jit_grad 0.00% : 0.000027s : 1: order_py_execute_after_rewriter 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000033s : 1: pre_auto_parallel 0.81% : 0.014906s : 1: py_interpret_to_execute 0.00% : 0.000054s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000143s : 1: remove_dup_value 2.51% : 0.046445s : 3: renormalize.infer 1.27% : 0.023491s : 3: renormalize.specialize 0.02% : 0.000339s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000425s : 1: rewriter_after_opt_a 0.27% : 0.004928s : 1: rewriter_before_opt_a 0.02% : 0.000333s : 1: symbol_engine_optimizer 1.75% : 0.032356s : 1: task_emit 81.02% : 1.499908s : 1: type_inference 0.02% : 0.000300s : 1: validate . [hook] pytest_runtest_teardown:test_mint_optim_fused_adamw_basic[1] tests/st/mint/optim/test_fused_adamw.py::test_mint_optim_fused_adamw_basic[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[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 462.57s (0:07:42) ==================