[WARNING] ME(165908:281473229471536,MainProcess):2026-01-29-17:38:48.638.65 [mindspore/context.py:1334] For 'context.set_context', the parameter 'device_target' will be deprecated and removed in a future version. Please use the api mindspore.set_device() instead. [WARNING] ME(165908:281473229471536,MainProcess):2026-01-29-17:38:48.648.27 [mindspore/context.py:1334] For 'context.set_context', the parameter 'device_id' will be deprecated and removed in a future version. Please use the api mindspore.set_device() 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/hyper_offload/memory_ops, configfile: ../../../../../../../sault/virtual_test/virtualenv_008/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 1 item test_hyper_offload_ops.py TotalTime = 1.97145, [30] [bootstrap]: 0.00494101 [type_inference]: 1.70747 [event_method]: 1.278e-05 [auto_monad]: 0.00014348 [graph_reusing]: 2.35e-05 [pre_auto_parallel]: 1.18e-05 [py_interpret_to_execute]: 1.548e-05 [rewriter_before_opt_a]: 5.26e-05 [expand_dump_flag]: 2.88e-06 [jit_opt_a]: 0.253203, [2] [Cycle 1]: 0.00174859, [27] [switch_simplify]: 6.637e-05 [loop_unroll]: 1.418e-05 [a_1]: 0.00039377 [with_stream_mark]: 4.05e-05 [recompute_prepare]: 9.09e-06 [updatestate_depend_eliminate]: 7.48999e-06 [updatestate_assign_eliminate]: 7.3e-06 [updatestate_loads_eliminate]: 5.21002e-06 [parameter_eliminate]: 2.02001e-06 [specialize_transform]: 8.39002e-06 [updatestate_useless_node_eliminater]: 1.055e-05 [accelerated_algorithm]: 7.77e-06 [meta_shard_fg_expand]: 2.56e-06 [get_grad_eliminate_]: 7.35003e-06 [merge_forward]: 5.41002e-06 [cell_reuse_recompute_pass]: 1.21997e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.571e-05 [j_node_and_user_rematch]: 1.962e-05 [meta_fg_expand]: 3.56001e-06 [replace_old_param]: 1.26e-05 [inline_without_move]: 7.83001e-06 [renormalize]: 0.00076339 [add_forward_monad_depend]: 6.01e-06 [auto_monad_grad]: 2.96001e-06 [auto_monad_eliminator]: 2.226e-05 [cse]: 5.174e-05 [replace_applicator]: 1.671e-05 [Cycle 2]: 0.00047726, [27] [switch_simplify]: 9.24e-06 [loop_unroll]: 1.854e-05 [a_1]: 0.00016803 [with_stream_mark]: 1.554e-05 [recompute_prepare]: 7.51999e-06 [updatestate_depend_eliminate]: 5.09998e-06 [updatestate_assign_eliminate]: 4.47e-06 [updatestate_loads_eliminate]: 4.42e-06 [parameter_eliminate]: 1.19e-06 [specialize_transform]: 7.72998e-06 [updatestate_useless_node_eliminater]: 9.82001e-06 [accelerated_algorithm]: 8.08001e-06 [meta_shard_fg_expand]: 1.67999e-06 [get_grad_eliminate_]: 7.5e-06 [merge_forward]: 4.55999e-06 [cell_reuse_recompute_pass]: 1.67001e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.674e-05 [j_node_and_user_rematch]: 1.169e-05 [meta_fg_expand]: 2.72001e-06 [replace_old_param]: 9.82001e-06 [inline_without_move]: 7.2e-06 [renormalize]: 1.30007e-07 [add_forward_monad_depend]: 1.78002e-06 [auto_monad_grad]: 8.70001e-07 [auto_monad_eliminator]: 1.107e-05 [cse]: 1.652e-05 [replace_applicator]: 7.82e-06 [py_interpret_to_execute_after_opt_a]: 2.265e-05 [rewriter_after_opt_a]: 0.00019408 [convert_after_rewriter]: 1.295e-05 [order_py_execute_after_rewriter]: 7.14001e-06 [mutable_eliminate]: 0.0008417 [jit_opt_b]: 7.113e-05, [1] [Cycle 1]: 6.252e-05, [2] [frontend_op_eliminate]: 2.511e-05 [inline_after_opt_a]: 2.34e-05 [cconv]: 3.184e-05 [loop_unroll]: 0.00048877 [jit_opt_after_cconv]: 0.00020726, [1] [Cycle 1]: 0.00019952, [11] [c_1]: 4.919e-05 [parameter_eliminate]: 3.93001e-06 [updatestate_depend_eliminate]: 1.146e-05 [updatestate_assign_eliminate]: 4.58999e-06 [updatestate_loads_eliminate]: 3.91001e-06 [cse]: 3.22e-05 [call_graph_tuple_transform]: 2.197e-05 [tuple_list_get_item_eliminator]: 7.66999e-06 [none_parameter_eliminate]: 1.91e-06 [renormalize]: 6.29982e-07 [switch_simplify]: 7.93001e-06 [remove_dup_value]: 1.76e-05 [partial_unused_args_eliminate]: 2.66e-06 [environ_conv]: 2.169e-05 [add_recomputation]: 7.905e-05 [cse_after_recomputation]: 2.817e-05, [1] [Cycle 1]: 2.142e-05, [1] [cse]: 1.479e-05 [auto_monad_reorder]: 3.639e-05 [get_jit_bprop_graph]: 2.61999e-06 [rewriter_after_jit_bprop_graph]: 4.48001e-06 [opt_after_jit_grad]: 0.00047245 [symbol_engine_optimizer]: 8.982e-05, [1] [Cycle 1]: 8.353e-05, [6] [build]: 5.68002e-06 [elim_shapecalc]: 1.082e-05 [elim_not_effective]: 1.793e-05 [opt_reshape]: 8.55001e-06 [fold_const_symbol]: 1.275e-05 [renormalize]: 4.50003e-07 [validate]: 8.087e-05 Sums bootstrap : 0.004941s : 0.29% type_inference : 1.707468s : 99.44% event_method : 0.000013s : 0.00% auto_monad : 0.000143s : 0.01% graph_reusing : 0.000024s : 0.00% pre_auto_parallel : 0.000012s : 0.00% py_interpret_to_execute : 0.000015s : 0.00% rewriter_before_opt_a : 0.000053s : 0.00% expand_dump_flag : 0.000003s : 0.00% jit_opt_a.switch_simplify : 0.000076s : 0.00% jit_opt_a.loop_unroll : 0.000033s : 0.00% jit_opt_a.a_1 : 0.000562s : 0.03% jit_opt_a.with_stream_mark : 0.000056s : 0.00% jit_opt_a.recompute_prepare : 0.000017s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000013s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000012s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000010s : 0.00% jit_opt_a.parameter_eliminate : 0.000003s : 0.00% jit_opt_a.specialize_transform : 0.000016s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000020s : 0.00% jit_opt_a.accelerated_algorithm : 0.000016s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000004s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000015s : 0.00% jit_opt_a.merge_forward : 0.000010s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000003s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000052s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000031s : 0.00% jit_opt_a.meta_fg_expand : 0.000006s : 0.00% jit_opt_a.replace_old_param : 0.000022s : 0.00% jit_opt_a.inline_without_move : 0.000015s : 0.00% jit_opt_a.renormalize : 0.000764s : 0.04% jit_opt_a.add_forward_monad_depend : 0.000008s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000033s : 0.00% jit_opt_a.cse : 0.000068s : 0.00% jit_opt_a.replace_applicator : 0.000025s : 0.00% py_interpret_to_execute_after_opt_a : 0.000023s : 0.00% rewriter_after_opt_a : 0.000194s : 0.01% convert_after_rewriter : 0.000013s : 0.00% order_py_execute_after_rewriter : 0.000007s : 0.00% mutable_eliminate : 0.000842s : 0.05% jit_opt_b.frontend_op_eliminate : 0.000025s : 0.00% jit_opt_b.inline_after_opt_a : 0.000023s : 0.00% cconv : 0.000032s : 0.00% loop_unroll : 0.000489s : 0.03% jit_opt_after_cconv.c_1 : 0.000049s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000011s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.cse : 0.000032s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000022s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000008s : 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 : 0.000008s : 0.00% remove_dup_value : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000022s : 0.00% add_recomputation : 0.000079s : 0.00% cse_after_recomputation.cse : 0.000015s : 0.00% auto_monad_reorder : 0.000036s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000004s : 0.00% opt_after_jit_grad : 0.000472s : 0.03% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000018s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000009s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000013s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000081s : 0.00% Time group info: ------[substitution.] 0.000209 42 4.60% : 0.000010s : 2: substitution.depend_value_elim 1.35% : 0.000003s : 4: substitution.elim_not_effective 0.93% : 0.000002s : 4: substitution.fold_const_symbol 3.15% : 0.000007s : 5: substitution.graph_param_transform 62.71% : 0.000131s : 1: substitution.inline 5.00% : 0.000010s : 8: substitution.j_node_and_user_rematch 9.00% : 0.000019s : 8: substitution.remove_not_recompute_node 2.75% : 0.000006s : 2: substitution.replace_old_param 5.42% : 0.000011s : 3: substitution.updatestate_pure_node_eliminater 5.10% : 0.000011s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.707398 2 99.98% : 1.706989s : 1: type_inference.infer 0.02% : 0.000409s : 1: type_inference.specialize ------[replace.] 0.000020 1 100.00% : 0.000020s : 1: replace.inline ------[match.] 0.000130 1 100.00% : 0.000130s : 1: match.inline ------[predicate.] 0.000139 753 1.35% : 0.000002s : 11: predicate.accumulaten_eliminater 1.43% : 0.000002s : 5: predicate.ad_related_special_op_eliminate 1.10% : 0.000002s : 11: predicate.addn_check_dump 1.23% : 0.000002s : 11: predicate.addn_zero_filter 1.94% : 0.000003s : 11: predicate.arithmetic_simplify 1.40% : 0.000002s : 11: predicate.cast_eliminate 0.68% : 0.000001s : 5: predicate.check_bprop_eliminate 1.09% : 0.000002s : 11: predicate.compare_switch_simplify 1.27% : 0.000002s : 11: predicate.depend_value_elim 1.07% : 0.000001s : 11: predicate.dict_get_item_const_eliminator 1.38% : 0.000002s : 11: predicate.dict_get_item_eliminator 1.17% : 0.000002s : 11: predicate.dict_set_item_eliminator 0.94% : 0.000001s : 5: predicate.dumpgradient_eliminate 0.38% : 0.000001s : 5: predicate.elim_not_effective 0.73% : 0.000001s : 5: predicate.elim_shapecalc_of_broadcastargs 1.12% : 0.000002s : 11: predicate.environ_add_const_eliminate 1.07% : 0.000001s : 11: predicate.environ_get_add_eliminate 1.05% : 0.000001s : 11: predicate.environ_get_depend_swap 1.18% : 0.000002s : 11: predicate.environ_get_eliminate 1.14% : 0.000002s : 11: predicate.environ_get_set_eliminate 0.31% : 0.000000s : 5: predicate.fold_const_symbol 1.49% : 0.000002s : 10: predicate.get_grad_eliminate 0.48% : 0.000001s : 5: predicate.graph_param_transform 5.29% : 0.000007s : 22: predicate.inline 1.17% : 0.000002s : 10: predicate.inline_without_move 0.54% : 0.000001s : 10: predicate.j_node_and_user_rematch 1.61% : 0.000002s : 10: predicate.less_batch_normalization 1.50% : 0.000002s : 11: predicate.list_to_tuple_eliminator_ 1.99% : 0.000003s : 16: predicate.load_eliminater 2.11% : 0.000003s : 5: predicate.loop_unroll_after_grad 2.25% : 0.000003s : 15: predicate.loop_unroll_before_grad 1.92% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.05% : 0.000001s : 11: predicate.merge_addn 1.13% : 0.000002s : 11: predicate.minmaximum_grad 3.11% : 0.000004s : 5: predicate.mutable_eliminate 0.75% : 0.000001s : 5: predicate.opt_reshape 2.03% : 0.000003s : 16: predicate.partial_eliminate 1.10% : 0.000002s : 11: predicate.print_const_string_wrapper 1.87% : 0.000003s : 11: predicate.reduce_eliminate 1.44% : 0.000002s : 11: predicate.redundant_stop_gradient_eliminater 0.89% : 0.000001s : 10: predicate.remove_not_recompute_node 1.53% : 0.000002s : 21: predicate.replace_applicator 0.86% : 0.000001s : 10: predicate.replace_old_param 0.43% : 0.000001s : 5: predicate.reset_defer_inline 1.28% : 0.000002s : 11: predicate.reshape_eliminate 1.21% : 0.000002s : 11: predicate.row_tensor_add_zeros_like 0.98% : 0.000001s : 5: predicate.row_tensor_eliminate 1.30% : 0.000002s : 11: predicate.same_eliminate 0.71% : 0.000001s : 10: predicate.set_cell_output_no_recompute 1.33% : 0.000002s : 10: predicate.special_op_eliminate 1.49% : 0.000002s : 10: predicate.specialize_transform 1.22% : 0.000002s : 11: predicate.split_environ_get_set_with_tuple_value 1.20% : 0.000002s : 11: predicate.stack_unstack_eliminate 0.93% : 0.000001s : 5: predicate.switch_call_monad_eliminater 1.41% : 0.000002s : 12: predicate.switch_defer_inline 1.33% : 0.000002s : 12: predicate.switch_layer_defer_inline 5.86% : 0.000008s : 32: predicate.switch_simplify 1.23% : 0.000002s : 11: predicate.tile_eliminate 1.08% : 0.000002s : 11: predicate.transpose_eliminate 1.40% : 0.000002s : 11: predicate.tuple_list_convert_item_index_to_positive 1.41% : 0.000002s : 11: predicate.tuple_list_get_item_depend_reorder 3.50% : 0.000005s : 21: predicate.tuple_list_get_item_eliminator 1.75% : 0.000002s : 11: predicate.tuple_list_set_item_eliminator 1.24% : 0.000002s : 11: predicate.tuple_to_list_eliminator_ 1.73% : 0.000002s : 16: predicate.updatestate_pure_node_eliminater 3.60% : 0.000005s : 26: predicate.updatestate_useless_node_eliminater 1.58% : 0.000002s : 11: predicate.value_based_eliminate 0.56% : 0.000001s : 5: predicate.virtual_view_grad_eliminate 1.10% : 0.000002s : 5: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000245 4 8.68% : 0.000021s : 1: func_graph_cloner_run.FuncGraphClonerGraph 91.32% : 0.000224s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.970855 72 0.00% : 0.000082s : 1: add_recomputation 0.01% : 0.000148s : 1: auto_monad 0.00% : 0.000039s : 1: auto_monad_reorder 0.27% : 0.005332s : 1: bootstrap 0.00% : 0.000035s : 1: cconv 0.00% : 0.000016s : 1: convert_after_rewriter 0.00% : 0.000030s : 1: cse_after_recomputation 0.00% : 0.000024s : 1: environ_conv 0.00% : 0.000018s : 1: event_method 0.00% : 0.000005s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000027s : 1: graph_reusing 12.85% : 0.253207s : 1: jit_opt_a 0.01% : 0.000210s : 1: jit_opt_after_cconv 0.00% : 0.000074s : 1: jit_opt_b 0.03% : 0.000498s : 1: loop_unroll 0.04% : 0.000853s : 1: mutable_eliminate 0.04% : 0.000840s : 26: opt.transform.jit_opt_a 0.00% : 0.000083s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000042s : 4: opt.transform.jit_opt_b 0.00% : 0.000018s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000027s : 1: opt.transform.mutable_eliminate 0.00% : 0.000030s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000047s : 4: opt.transform.symbol_engine_opt 0.02% : 0.000479s : 1: opt_after_jit_grad 0.00% : 0.000009s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000014s : 1: pre_auto_parallel 0.00% : 0.000018s : 1: py_interpret_to_execute 0.00% : 0.000025s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000020s : 1: remove_dup_value 0.02% : 0.000450s : 1: renormalize.infer 0.02% : 0.000305s : 1: renormalize.specialize 0.00% : 0.000007s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000198s : 1: rewriter_after_opt_a 0.00% : 0.000056s : 1: rewriter_before_opt_a 0.00% : 0.000093s : 1: symbol_engine_optimizer 86.64% : 1.707485s : 1: type_inference [WARNING] DEVICE(165908,fffe754b6060,python3.9):2026-01-29-17:39:28.269.529 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:59] UpdateDeviceToRemote] UpdateDeviceToRemote is not implemented yet. TotalTime = 0.080401, [30] [bootstrap]: 0.00048824 [type_inference]: 0.00573619 [event_method]: 1.254e-05 [auto_monad]: 0.00012291 [graph_reusing]: 5.05999e-06 [pre_auto_parallel]: 2.36998e-06 [py_interpret_to_execute]: 1.357e-05 [rewriter_before_opt_a]: 4.276e-05 [expand_dump_flag]: 2.68e-06 [jit_opt_a]: 0.0706633, [2] [Cycle 1]: 0.00150805, [27] [switch_simplify]: 5.034e-05 [loop_unroll]: 1.291e-05 [a_1]: 0.00037362 [with_stream_mark]: 2.818e-05 [recompute_prepare]: 9.37999e-06 [updatestate_depend_eliminate]: 6.13002e-06 [updatestate_assign_eliminate]: 6.88e-06 [updatestate_loads_eliminate]: 5.46e-06 [parameter_eliminate]: 2.19001e-06 [specialize_transform]: 8.80999e-06 [updatestate_useless_node_eliminater]: 1.047e-05 [accelerated_algorithm]: 7.97998e-06 [meta_shard_fg_expand]: 2.34001e-06 [get_grad_eliminate_]: 7.21001e-06 [merge_forward]: 4.89e-06 [cell_reuse_recompute_pass]: 1.28002e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.209e-05 [j_node_and_user_rematch]: 1.283e-05 [meta_fg_expand]: 3.13e-06 [replace_old_param]: 1.234e-05 [inline_without_move]: 7.55998e-06 [renormalize]: 0.0006614 [add_forward_monad_depend]: 4.88001e-06 [auto_monad_grad]: 2.69999e-06 [auto_monad_eliminator]: 2.039e-05 [cse]: 3.551e-05 [replace_applicator]: 1.377e-05 [Cycle 2]: 0.00043938, [27] [switch_simplify]: 7.88001e-06 [loop_unroll]: 7.43e-06 [a_1]: 0.00015818 [with_stream_mark]: 1.211e-05 [recompute_prepare]: 7.58001e-06 [updatestate_depend_eliminate]: 4.48001e-06 [updatestate_assign_eliminate]: 4.09002e-06 [updatestate_loads_eliminate]: 3.98999e-06 [parameter_eliminate]: 1.13001e-06 [specialize_transform]: 7.58001e-06 [updatestate_useless_node_eliminater]: 9.71e-06 [accelerated_algorithm]: 7.26001e-06 [meta_shard_fg_expand]: 1.60999e-06 [get_grad_eliminate_]: 6.71e-06 [merge_forward]: 3.98999e-06 [cell_reuse_recompute_pass]: 1.24e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.602e-05 [j_node_and_user_rematch]: 1.162e-05 [meta_fg_expand]: 2.48e-06 [replace_old_param]: 9.61e-06 [inline_without_move]: 7.22997e-06 [renormalize]: 6.00121e-08 [add_forward_monad_depend]: 1.15001e-06 [auto_monad_grad]: 9.50007e-07 [auto_monad_eliminator]: 9.62999e-06 [cse]: 1.525e-05 [replace_applicator]: 7.68999e-06 [py_interpret_to_execute_after_opt_a]: 1.275e-05 [rewriter_after_opt_a]: 0.00015471 [convert_after_rewriter]: 1.226e-05 [order_py_execute_after_rewriter]: 6.41998e-06 [mutable_eliminate]: 0.0012443 [jit_opt_b]: 6.611e-05, [1] [Cycle 1]: 5.833e-05, [2] [frontend_op_eliminate]: 2.316e-05 [inline_after_opt_a]: 2.324e-05 [cconv]: 3.275e-05 [loop_unroll]: 0.0005353 [jit_opt_after_cconv]: 0.00021134, [1] [Cycle 1]: 0.00020405, [11] [c_1]: 5.032e-05 [parameter_eliminate]: 4.60999e-06 [updatestate_depend_eliminate]: 1.277e-05 [updatestate_assign_eliminate]: 5.07e-06 [updatestate_loads_eliminate]: 4.55001e-06 [cse]: 3.495e-05 [call_graph_tuple_transform]: 2.241e-05 [tuple_list_get_item_eliminator]: 7.85998e-06 [none_parameter_eliminate]: 1.53002e-06 [renormalize]: 5.20027e-07 [switch_simplify]: 7.76001e-06 [remove_dup_value]: 1.695e-05 [partial_unused_args_eliminate]: 2.49001e-06 [environ_conv]: 8.65001e-06 [add_recomputation]: 7.051e-05 [cse_after_recomputation]: 3.147e-05, [1] [Cycle 1]: 2.512e-05, [1] [cse]: 1.733e-05 [auto_monad_reorder]: 2.627e-05 [get_jit_bprop_graph]: 2.29001e-06 [rewriter_after_jit_bprop_graph]: 6.14001e-06 [opt_after_jit_grad]: 0.00050809 [symbol_engine_optimizer]: 8.989e-05, [1] [Cycle 1]: 8.358e-05, [6] [build]: 5.55001e-06 [elim_shapecalc]: 1.073e-05 [elim_not_effective]: 1.895e-05 [opt_reshape]: 8.23999e-06 [fold_const_symbol]: 1.257e-05 [renormalize]: 7.2e-07 [validate]: 5.509e-05 Sums bootstrap : 0.000488s : 4.42% type_inference : 0.005736s : 51.89% event_method : 0.000013s : 0.11% auto_monad : 0.000123s : 1.11% graph_reusing : 0.000005s : 0.05% pre_auto_parallel : 0.000002s : 0.02% py_interpret_to_execute : 0.000014s : 0.12% rewriter_before_opt_a : 0.000043s : 0.39% expand_dump_flag : 0.000003s : 0.02% jit_opt_a.switch_simplify : 0.000058s : 0.53% jit_opt_a.loop_unroll : 0.000020s : 0.18% jit_opt_a.a_1 : 0.000532s : 4.81% jit_opt_a.with_stream_mark : 0.000040s : 0.36% jit_opt_a.recompute_prepare : 0.000017s : 0.15% jit_opt_a.updatestate_depend_eliminate : 0.000011s : 0.10% jit_opt_a.updatestate_assign_eliminate : 0.000011s : 0.10% jit_opt_a.updatestate_loads_eliminate : 0.000009s : 0.09% jit_opt_a.parameter_eliminate : 0.000003s : 0.03% jit_opt_a.specialize_transform : 0.000016s : 0.15% jit_opt_a.updatestate_useless_node_eliminater : 0.000020s : 0.18% jit_opt_a.accelerated_algorithm : 0.000015s : 0.14% jit_opt_a.meta_shard_fg_expand : 0.000004s : 0.04% jit_opt_a.get_grad_eliminate_ : 0.000014s : 0.13% jit_opt_a.merge_forward : 0.000009s : 0.08% jit_opt_a.cell_reuse_recompute_pass : 0.000003s : 0.02% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000038s : 0.34% jit_opt_a.j_node_and_user_rematch : 0.000024s : 0.22% jit_opt_a.meta_fg_expand : 0.000006s : 0.05% jit_opt_a.replace_old_param : 0.000022s : 0.20% jit_opt_a.inline_without_move : 0.000015s : 0.13% jit_opt_a.renormalize : 0.000661s : 5.98% jit_opt_a.add_forward_monad_depend : 0.000006s : 0.05% jit_opt_a.auto_monad_grad : 0.000004s : 0.03% jit_opt_a.auto_monad_eliminator : 0.000030s : 0.27% jit_opt_a.cse : 0.000051s : 0.46% jit_opt_a.replace_applicator : 0.000021s : 0.19% py_interpret_to_execute_after_opt_a : 0.000013s : 0.12% rewriter_after_opt_a : 0.000155s : 1.40% convert_after_rewriter : 0.000012s : 0.11% order_py_execute_after_rewriter : 0.000006s : 0.06% mutable_eliminate : 0.001244s : 11.26% jit_opt_b.frontend_op_eliminate : 0.000023s : 0.21% jit_opt_b.inline_after_opt_a : 0.000023s : 0.21% cconv : 0.000033s : 0.30% loop_unroll : 0.000535s : 4.84% jit_opt_after_cconv.c_1 : 0.000050s : 0.46% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.04% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000013s : 0.12% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.05% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.04% jit_opt_after_cconv.cse : 0.000035s : 0.32% jit_opt_after_cconv.call_graph_tuple_transform : 0.000022s : 0.20% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000008s : 0.07% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.01% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000008s : 0.07% remove_dup_value : 0.000017s : 0.15% partial_unused_args_eliminate : 0.000002s : 0.02% environ_conv : 0.000009s : 0.08% add_recomputation : 0.000071s : 0.64% cse_after_recomputation.cse : 0.000017s : 0.16% auto_monad_reorder : 0.000026s : 0.24% get_jit_bprop_graph : 0.000002s : 0.02% rewriter_after_jit_bprop_graph : 0.000006s : 0.06% opt_after_jit_grad : 0.000508s : 4.60% symbol_engine_optimizer.build : 0.000006s : 0.05% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.10% symbol_engine_optimizer.elim_not_effective : 0.000019s : 0.17% symbol_engine_optimizer.opt_reshape : 0.000008s : 0.07% symbol_engine_optimizer.fold_const_symbol : 0.000013s : 0.11% symbol_engine_optimizer.renormalize : 0.000001s : 0.01% validate : 0.000055s : 0.50% Time group info: ------[substitution.] 0.000174 42 4.88% : 0.000009s : 2: substitution.depend_value_elim 1.94% : 0.000003s : 4: substitution.elim_not_effective 1.06% : 0.000002s : 4: substitution.fold_const_symbol 3.96% : 0.000007s : 5: substitution.graph_param_transform 65.11% : 0.000113s : 1: substitution.inline 2.59% : 0.000005s : 8: substitution.j_node_and_user_rematch 5.46% : 0.000010s : 8: substitution.remove_not_recompute_node 2.93% : 0.000005s : 2: substitution.replace_old_param 6.67% : 0.000012s : 3: substitution.updatestate_pure_node_eliminater 5.40% : 0.000009s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.005689 2 94.07% : 0.005351s : 1: type_inference.infer 5.93% : 0.000337s : 1: type_inference.specialize ------[replace.] 0.000020 1 100.00% : 0.000020s : 1: replace.inline ------[match.] 0.000112 1 100.00% : 0.000112s : 1: match.inline ------[predicate.] 0.000132 753 1.20% : 0.000002s : 11: predicate.accumulaten_eliminater 1.46% : 0.000002s : 5: predicate.ad_related_special_op_eliminate 1.09% : 0.000001s : 11: predicate.addn_check_dump 1.33% : 0.000002s : 11: predicate.addn_zero_filter 2.53% : 0.000003s : 11: predicate.arithmetic_simplify 1.28% : 0.000002s : 11: predicate.cast_eliminate 0.69% : 0.000001s : 5: predicate.check_bprop_eliminate 1.15% : 0.000002s : 11: predicate.compare_switch_simplify 1.35% : 0.000002s : 11: predicate.depend_value_elim 1.10% : 0.000001s : 11: predicate.dict_get_item_const_eliminator 1.24% : 0.000002s : 11: predicate.dict_get_item_eliminator 1.03% : 0.000001s : 11: predicate.dict_set_item_eliminator 1.25% : 0.000002s : 5: predicate.dumpgradient_eliminate 0.39% : 0.000001s : 5: predicate.elim_not_effective 0.72% : 0.000001s : 5: predicate.elim_shapecalc_of_broadcastargs 1.22% : 0.000002s : 11: predicate.environ_add_const_eliminate 1.12% : 0.000001s : 11: predicate.environ_get_add_eliminate 1.03% : 0.000001s : 11: predicate.environ_get_depend_swap 1.27% : 0.000002s : 11: predicate.environ_get_eliminate 1.07% : 0.000001s : 11: predicate.environ_get_set_eliminate 0.33% : 0.000000s : 5: predicate.fold_const_symbol 1.27% : 0.000002s : 10: predicate.get_grad_eliminate 0.53% : 0.000001s : 5: predicate.graph_param_transform 5.58% : 0.000007s : 22: predicate.inline 1.30% : 0.000002s : 10: predicate.inline_without_move 0.57% : 0.000001s : 10: predicate.j_node_and_user_rematch 1.40% : 0.000002s : 10: predicate.less_batch_normalization 1.26% : 0.000002s : 11: predicate.list_to_tuple_eliminator_ 1.69% : 0.000002s : 16: predicate.load_eliminater 2.24% : 0.000003s : 5: predicate.loop_unroll_after_grad 2.04% : 0.000003s : 15: predicate.loop_unroll_before_grad 1.94% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.09% : 0.000001s : 11: predicate.merge_addn 1.04% : 0.000001s : 11: predicate.minmaximum_grad 3.25% : 0.000004s : 5: predicate.mutable_eliminate 0.81% : 0.000001s : 5: predicate.opt_reshape 2.25% : 0.000003s : 16: predicate.partial_eliminate 1.18% : 0.000002s : 11: predicate.print_const_string_wrapper 1.57% : 0.000002s : 11: predicate.reduce_eliminate 1.22% : 0.000002s : 11: predicate.redundant_stop_gradient_eliminater 0.90% : 0.000001s : 10: predicate.remove_not_recompute_node 1.62% : 0.000002s : 21: predicate.replace_applicator 0.93% : 0.000001s : 10: predicate.replace_old_param 0.61% : 0.000001s : 5: predicate.reset_defer_inline 1.21% : 0.000002s : 11: predicate.reshape_eliminate 1.23% : 0.000002s : 11: predicate.row_tensor_add_zeros_like 1.05% : 0.000001s : 5: predicate.row_tensor_eliminate 1.47% : 0.000002s : 11: predicate.same_eliminate 0.73% : 0.000001s : 10: predicate.set_cell_output_no_recompute 1.45% : 0.000002s : 10: predicate.special_op_eliminate 1.38% : 0.000002s : 10: predicate.specialize_transform 1.51% : 0.000002s : 11: predicate.split_environ_get_set_with_tuple_value 1.24% : 0.000002s : 11: predicate.stack_unstack_eliminate 0.82% : 0.000001s : 5: predicate.switch_call_monad_eliminater 1.47% : 0.000002s : 12: predicate.switch_defer_inline 1.43% : 0.000002s : 12: predicate.switch_layer_defer_inline 5.41% : 0.000007s : 32: predicate.switch_simplify 1.16% : 0.000002s : 11: predicate.tile_eliminate 1.16% : 0.000002s : 11: predicate.transpose_eliminate 1.46% : 0.000002s : 11: predicate.tuple_list_convert_item_index_to_positive 1.32% : 0.000002s : 11: predicate.tuple_list_get_item_depend_reorder 3.85% : 0.000005s : 21: predicate.tuple_list_get_item_eliminator 1.39% : 0.000002s : 11: predicate.tuple_list_set_item_eliminator 1.13% : 0.000001s : 11: predicate.tuple_to_list_eliminator_ 1.82% : 0.000002s : 16: predicate.updatestate_pure_node_eliminater 3.53% : 0.000005s : 26: predicate.updatestate_useless_node_eliminater 1.41% : 0.000002s : 11: predicate.value_based_eliminate 0.50% : 0.000001s : 5: predicate.virtual_view_grad_eliminate 0.74% : 0.000001s : 5: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000202 4 10.41% : 0.000021s : 1: func_graph_cloner_run.FuncGraphClonerGraph 89.59% : 0.000181s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.081947 72 0.09% : 0.000073s : 1: add_recomputation 0.15% : 0.000127s : 1: auto_monad 0.04% : 0.000029s : 1: auto_monad_reorder 0.62% : 0.000509s : 1: bootstrap 0.04% : 0.000035s : 1: cconv 0.02% : 0.000015s : 1: convert_after_rewriter 0.04% : 0.000034s : 1: cse_after_recomputation 0.01% : 0.000011s : 1: environ_conv 0.02% : 0.000017s : 1: event_method 0.01% : 0.000005s : 1: expand_dump_flag 0.01% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000007s : 1: graph_reusing 86.23% : 0.070666s : 1: jit_opt_a 0.28% : 0.000231s : 1: jit_opt_after_cconv 0.08% : 0.000069s : 1: jit_opt_b 0.66% : 0.000543s : 1: loop_unroll 1.53% : 0.001255s : 1: mutable_eliminate 0.95% : 0.000778s : 26: opt.transform.jit_opt_a 0.10% : 0.000085s : 4: opt.transform.jit_opt_after_cconv 0.05% : 0.000039s : 4: opt.transform.jit_opt_b 0.02% : 0.000019s : 1: opt.transform.loop_unroll_optimizer 0.03% : 0.000025s : 1: opt.transform.mutable_eliminate 0.04% : 0.000029s : 1: opt.transform.opt_after_jit_grad 0.06% : 0.000047s : 4: opt.transform.symbol_engine_opt 0.63% : 0.000515s : 1: opt_after_jit_grad 0.01% : 0.000009s : 1: order_py_execute_after_rewriter 0.01% : 0.000005s : 1: partial_unused_args_eliminate 0.01% : 0.000004s : 1: pre_auto_parallel 0.02% : 0.000016s : 1: py_interpret_to_execute 0.02% : 0.000015s : 1: py_interpret_to_execute_after_opt_a 0.03% : 0.000021s : 1: remove_dup_value 0.48% : 0.000389s : 1: renormalize.infer 0.32% : 0.000265s : 1: renormalize.specialize 0.01% : 0.000008s : 1: rewriter_after_jit_bprop_graph 0.19% : 0.000159s : 1: rewriter_after_opt_a 0.06% : 0.000047s : 1: rewriter_before_opt_a 0.11% : 0.000093s : 1: symbol_engine_optimizer 7.02% : 0.005749s : 1: type_inference [WARNING] DEVICE(165908,fffe754b6060,python3.9):2026-01-29-17:39:28.611.887 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:59] UpdateDeviceToRemote] UpdateDeviceToRemote is not implemented yet. TotalTime = 0.0125318, [30] [bootstrap]: 0.000285 [type_inference]: 0.00439783 [event_method]: 1.201e-05 [auto_monad]: 0.00010582 [graph_reusing]: 5.34e-06 [pre_auto_parallel]: 2.64999e-06 [py_interpret_to_execute]: 1.302e-05 [rewriter_before_opt_a]: 3.851e-05 [expand_dump_flag]: 3.06001e-06 [jit_opt_a]: 0.00515345, [2] [Cycle 1]: 0.00145505, [27] [switch_simplify]: 4.168e-05 [loop_unroll]: 1.357e-05 [a_1]: 0.00034038 [with_stream_mark]: 2.791e-05 [recompute_prepare]: 9.50001e-06 [updatestate_depend_eliminate]: 6.18002e-06 [updatestate_assign_eliminate]: 5.31998e-06 [updatestate_loads_eliminate]: 4.94e-06 [parameter_eliminate]: 1.82001e-06 [specialize_transform]: 8.57e-06 [updatestate_useless_node_eliminater]: 1.033e-05 [accelerated_algorithm]: 8.42e-06 [meta_shard_fg_expand]: 2.17001e-06 [get_grad_eliminate_]: 8.00999e-06 [merge_forward]: 5.24e-06 [cell_reuse_recompute_pass]: 1.12e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.008e-05 [j_node_and_user_rematch]: 1.268e-05 [meta_fg_expand]: 2.91e-06 [replace_old_param]: 1.194e-05 [inline_without_move]: 7.77e-06 [renormalize]: 0.00065118 [add_forward_monad_depend]: 6.36e-06 [auto_monad_grad]: 3.00002e-06 [auto_monad_eliminator]: 2.009e-05 [cse]: 3.32e-05 [replace_applicator]: 1.621e-05 [Cycle 2]: 0.00044254, [27] [switch_simplify]: 8.57998e-06 [loop_unroll]: 7.33999e-06 [a_1]: 0.00015769 [with_stream_mark]: 1.152e-05 [recompute_prepare]: 8.11002e-06 [updatestate_depend_eliminate]: 5.33002e-06 [updatestate_assign_eliminate]: 4.23001e-06 [updatestate_loads_eliminate]: 3.86001e-06 [parameter_eliminate]: 1.18001e-06 [specialize_transform]: 8.45001e-06 [updatestate_useless_node_eliminater]: 1.118e-05 [accelerated_algorithm]: 8.00999e-06 [meta_shard_fg_expand]: 1.90001e-06 [get_grad_eliminate_]: 7.51001e-06 [merge_forward]: 4.75999e-06 [cell_reuse_recompute_pass]: 1.84e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.605e-05 [j_node_and_user_rematch]: 1.174e-05 [meta_fg_expand]: 2.54999e-06 [replace_old_param]: 9.54e-06 [inline_without_move]: 7.09001e-06 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 1.28002e-06 [auto_monad_grad]: 7.80012e-07 [auto_monad_eliminator]: 9.34e-06 [cse]: 1.376e-05 [replace_applicator]: 7.15e-06 [py_interpret_to_execute_after_opt_a]: 1.252e-05 [rewriter_after_opt_a]: 0.00014281 [convert_after_rewriter]: 1.011e-05 [order_py_execute_after_rewriter]: 6.90002e-06 [mutable_eliminate]: 0.000554 [jit_opt_b]: 6.912e-05, [1] [Cycle 1]: 6.083e-05, [2] [frontend_op_eliminate]: 2.438e-05 [inline_after_opt_a]: 2.37e-05 [cconv]: 2.961e-05 [loop_unroll]: 0.00041208 [jit_opt_after_cconv]: 0.00019043, [1] [Cycle 1]: 0.0001846, [11] [c_1]: 4.712e-05 [parameter_eliminate]: 3.71001e-06 [updatestate_depend_eliminate]: 1.092e-05 [updatestate_assign_eliminate]: 3.98999e-06 [updatestate_loads_eliminate]: 4.18999e-06 [cse]: 2.702e-05 [call_graph_tuple_transform]: 2.055e-05 [tuple_list_get_item_eliminator]: 7.7e-06 [none_parameter_eliminate]: 1.74e-06 [renormalize]: 5.19998e-07 [switch_simplify]: 7.75e-06 [remove_dup_value]: 1.552e-05 [partial_unused_args_eliminate]: 2.25002e-06 [environ_conv]: 7.74002e-06 [add_recomputation]: 6.897e-05 [cse_after_recomputation]: 2.558e-05, [1] [Cycle 1]: 1.99e-05, [1] [cse]: 1.356e-05 [auto_monad_reorder]: 2.612e-05 [get_jit_bprop_graph]: 2.36e-06 [rewriter_after_jit_bprop_graph]: 5.19e-06 [opt_after_jit_grad]: 0.00045308 [symbol_engine_optimizer]: 8.686e-05, [1] [Cycle 1]: 8.1e-05, [6] [build]: 5.29e-06 [elim_shapecalc]: 1.017e-05 [elim_not_effective]: 1.712e-05 [opt_reshape]: 8.17998e-06 [fold_const_symbol]: 1.258e-05 [renormalize]: 6.69999e-07 [validate]: 0.00019299 Sums bootstrap : 0.000285s : 3.29% type_inference : 0.004398s : 50.74% event_method : 0.000012s : 0.14% auto_monad : 0.000106s : 1.22% graph_reusing : 0.000005s : 0.06% pre_auto_parallel : 0.000003s : 0.03% py_interpret_to_execute : 0.000013s : 0.15% rewriter_before_opt_a : 0.000039s : 0.44% expand_dump_flag : 0.000003s : 0.04% jit_opt_a.switch_simplify : 0.000050s : 0.58% jit_opt_a.loop_unroll : 0.000021s : 0.24% jit_opt_a.a_1 : 0.000498s : 5.75% jit_opt_a.with_stream_mark : 0.000039s : 0.45% jit_opt_a.recompute_prepare : 0.000018s : 0.20% jit_opt_a.updatestate_depend_eliminate : 0.000012s : 0.13% jit_opt_a.updatestate_assign_eliminate : 0.000010s : 0.11% jit_opt_a.updatestate_loads_eliminate : 0.000009s : 0.10% jit_opt_a.parameter_eliminate : 0.000003s : 0.03% jit_opt_a.specialize_transform : 0.000017s : 0.20% jit_opt_a.updatestate_useless_node_eliminater : 0.000022s : 0.25% jit_opt_a.accelerated_algorithm : 0.000016s : 0.19% jit_opt_a.meta_shard_fg_expand : 0.000004s : 0.05% jit_opt_a.get_grad_eliminate_ : 0.000016s : 0.18% jit_opt_a.merge_forward : 0.000010s : 0.12% jit_opt_a.cell_reuse_recompute_pass : 0.000003s : 0.03% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000036s : 0.42% jit_opt_a.j_node_and_user_rematch : 0.000024s : 0.28% jit_opt_a.meta_fg_expand : 0.000005s : 0.06% jit_opt_a.replace_old_param : 0.000021s : 0.25% jit_opt_a.inline_without_move : 0.000015s : 0.17% jit_opt_a.renormalize : 0.000651s : 7.51% jit_opt_a.add_forward_monad_depend : 0.000008s : 0.09% jit_opt_a.auto_monad_grad : 0.000004s : 0.04% jit_opt_a.auto_monad_eliminator : 0.000029s : 0.34% jit_opt_a.cse : 0.000047s : 0.54% jit_opt_a.replace_applicator : 0.000023s : 0.27% py_interpret_to_execute_after_opt_a : 0.000013s : 0.14% rewriter_after_opt_a : 0.000143s : 1.65% convert_after_rewriter : 0.000010s : 0.12% order_py_execute_after_rewriter : 0.000007s : 0.08% mutable_eliminate : 0.000554s : 6.39% jit_opt_b.frontend_op_eliminate : 0.000024s : 0.28% jit_opt_b.inline_after_opt_a : 0.000024s : 0.27% cconv : 0.000030s : 0.34% loop_unroll : 0.000412s : 4.75% jit_opt_after_cconv.c_1 : 0.000047s : 0.54% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.04% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000011s : 0.13% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000004s : 0.05% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000004s : 0.05% jit_opt_after_cconv.cse : 0.000027s : 0.31% jit_opt_after_cconv.call_graph_tuple_transform : 0.000021s : 0.24% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000008s : 0.09% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.02% jit_opt_after_cconv.renormalize : 0.000001s : 0.01% jit_opt_after_cconv.switch_simplify : 0.000008s : 0.09% remove_dup_value : 0.000016s : 0.18% partial_unused_args_eliminate : 0.000002s : 0.03% environ_conv : 0.000008s : 0.09% add_recomputation : 0.000069s : 0.80% cse_after_recomputation.cse : 0.000014s : 0.16% auto_monad_reorder : 0.000026s : 0.30% get_jit_bprop_graph : 0.000002s : 0.03% rewriter_after_jit_bprop_graph : 0.000005s : 0.06% opt_after_jit_grad : 0.000453s : 5.23% symbol_engine_optimizer.build : 0.000005s : 0.06% symbol_engine_optimizer.elim_shapecalc : 0.000010s : 0.12% symbol_engine_optimizer.elim_not_effective : 0.000017s : 0.20% symbol_engine_optimizer.opt_reshape : 0.000008s : 0.09% symbol_engine_optimizer.fold_const_symbol : 0.000013s : 0.15% symbol_engine_optimizer.renormalize : 0.000001s : 0.01% validate : 0.000193s : 2.23% Time group info: ------[substitution.] 0.000150 42 5.57% : 0.000008s : 2: substitution.depend_value_elim 1.75% : 0.000003s : 4: substitution.elim_not_effective 1.28% : 0.000002s : 4: substitution.fold_const_symbol 4.07% : 0.000006s : 5: substitution.graph_param_transform 63.29% : 0.000095s : 1: substitution.inline 2.93% : 0.000004s : 8: substitution.j_node_and_user_rematch 4.86% : 0.000007s : 8: substitution.remove_not_recompute_node 3.47% : 0.000005s : 2: substitution.replace_old_param 7.06% : 0.000011s : 3: substitution.updatestate_pure_node_eliminater 5.73% : 0.000009s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.004350 2 92.49% : 0.004024s : 1: type_inference.infer 7.51% : 0.000327s : 1: type_inference.specialize ------[replace.] 0.000016 1 100.00% : 0.000016s : 1: replace.inline ------[match.] 0.000094 1 100.00% : 0.000094s : 1: match.inline ------[predicate.] 0.000127 753 1.18% : 0.000002s : 11: predicate.accumulaten_eliminater 1.66% : 0.000002s : 5: predicate.ad_related_special_op_eliminate 1.12% : 0.000001s : 11: predicate.addn_check_dump 1.17% : 0.000001s : 11: predicate.addn_zero_filter 1.85% : 0.000002s : 11: predicate.arithmetic_simplify 1.17% : 0.000001s : 11: predicate.cast_eliminate 0.68% : 0.000001s : 5: predicate.check_bprop_eliminate 1.15% : 0.000001s : 11: predicate.compare_switch_simplify 1.21% : 0.000002s : 11: predicate.depend_value_elim 1.09% : 0.000001s : 11: predicate.dict_get_item_const_eliminator 1.23% : 0.000002s : 11: predicate.dict_get_item_eliminator 1.28% : 0.000002s : 11: predicate.dict_set_item_eliminator 1.08% : 0.000001s : 5: predicate.dumpgradient_eliminate 0.81% : 0.000001s : 5: predicate.elim_not_effective 0.70% : 0.000001s : 5: predicate.elim_shapecalc_of_broadcastargs 1.20% : 0.000002s : 11: predicate.environ_add_const_eliminate 1.05% : 0.000001s : 11: predicate.environ_get_add_eliminate 1.03% : 0.000001s : 11: predicate.environ_get_depend_swap 1.24% : 0.000002s : 11: predicate.environ_get_eliminate 1.07% : 0.000001s : 11: predicate.environ_get_set_eliminate 0.37% : 0.000000s : 5: predicate.fold_const_symbol 1.46% : 0.000002s : 10: predicate.get_grad_eliminate 0.33% : 0.000000s : 5: predicate.graph_param_transform 5.23% : 0.000007s : 22: predicate.inline 1.35% : 0.000002s : 10: predicate.inline_without_move 0.56% : 0.000001s : 10: predicate.j_node_and_user_rematch 1.63% : 0.000002s : 10: predicate.less_batch_normalization 1.26% : 0.000002s : 11: predicate.list_to_tuple_eliminator_ 1.76% : 0.000002s : 16: predicate.load_eliminater 1.84% : 0.000002s : 5: predicate.loop_unroll_after_grad 2.10% : 0.000003s : 15: predicate.loop_unroll_before_grad 2.02% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.09% : 0.000001s : 11: predicate.merge_addn 1.10% : 0.000001s : 11: predicate.minmaximum_grad 2.50% : 0.000003s : 5: predicate.mutable_eliminate 0.83% : 0.000001s : 5: predicate.opt_reshape 2.46% : 0.000003s : 16: predicate.partial_eliminate 1.15% : 0.000001s : 11: predicate.print_const_string_wrapper 1.44% : 0.000002s : 11: predicate.reduce_eliminate 1.23% : 0.000002s : 11: predicate.redundant_stop_gradient_eliminater 0.93% : 0.000001s : 10: predicate.remove_not_recompute_node 1.66% : 0.000002s : 21: predicate.replace_applicator 1.04% : 0.000001s : 10: predicate.replace_old_param 0.67% : 0.000001s : 5: predicate.reset_defer_inline 1.17% : 0.000001s : 11: predicate.reshape_eliminate 1.21% : 0.000002s : 11: predicate.row_tensor_add_zeros_like 1.38% : 0.000002s : 5: predicate.row_tensor_eliminate 1.39% : 0.000002s : 11: predicate.same_eliminate 0.76% : 0.000001s : 10: predicate.set_cell_output_no_recompute 1.26% : 0.000002s : 10: predicate.special_op_eliminate 1.45% : 0.000002s : 10: predicate.specialize_transform 1.28% : 0.000002s : 11: predicate.split_environ_get_set_with_tuple_value 1.25% : 0.000002s : 11: predicate.stack_unstack_eliminate 0.72% : 0.000001s : 5: predicate.switch_call_monad_eliminater 1.49% : 0.000002s : 12: predicate.switch_defer_inline 1.37% : 0.000002s : 12: predicate.switch_layer_defer_inline 5.67% : 0.000007s : 32: predicate.switch_simplify 1.32% : 0.000002s : 11: predicate.tile_eliminate 1.18% : 0.000001s : 11: predicate.transpose_eliminate 1.41% : 0.000002s : 11: predicate.tuple_list_convert_item_index_to_positive 1.23% : 0.000002s : 11: predicate.tuple_list_get_item_depend_reorder 3.68% : 0.000005s : 21: predicate.tuple_list_get_item_eliminator 1.37% : 0.000002s : 11: predicate.tuple_list_set_item_eliminator 1.32% : 0.000002s : 11: predicate.tuple_to_list_eliminator_ 1.78% : 0.000002s : 16: predicate.updatestate_pure_node_eliminater 4.15% : 0.000005s : 26: predicate.updatestate_useless_node_eliminater 1.54% : 0.000002s : 11: predicate.value_based_eliminate 0.60% : 0.000001s : 5: predicate.virtual_view_grad_eliminate 1.08% : 0.000001s : 5: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000187 4 9.91% : 0.000018s : 1: func_graph_cloner_run.FuncGraphClonerGraph 90.09% : 0.000168s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.013876 72 0.52% : 0.000072s : 1: add_recomputation 0.79% : 0.000110s : 1: auto_monad 0.21% : 0.000028s : 1: auto_monad_reorder 2.22% : 0.000307s : 1: bootstrap 0.23% : 0.000032s : 1: cconv 0.09% : 0.000013s : 1: convert_after_rewriter 0.20% : 0.000028s : 1: cse_after_recomputation 0.07% : 0.000010s : 1: environ_conv 0.12% : 0.000017s : 1: event_method 0.04% : 0.000005s : 1: expand_dump_flag 0.03% : 0.000005s : 1: get_jit_bprop_graph 0.06% : 0.000008s : 1: graph_reusing 37.16% : 0.005157s : 1: jit_opt_a 1.39% : 0.000193s : 1: jit_opt_after_cconv 0.52% : 0.000072s : 1: jit_opt_b 3.02% : 0.000419s : 1: loop_unroll 4.04% : 0.000561s : 1: mutable_eliminate 5.37% : 0.000746s : 26: opt.transform.jit_opt_a 0.57% : 0.000080s : 4: opt.transform.jit_opt_after_cconv 0.29% : 0.000041s : 4: opt.transform.jit_opt_b 0.12% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.14% : 0.000020s : 1: opt.transform.mutable_eliminate 0.21% : 0.000029s : 1: opt.transform.opt_after_jit_grad 0.32% : 0.000045s : 4: opt.transform.symbol_engine_opt 3.32% : 0.000461s : 1: opt_after_jit_grad 0.07% : 0.000009s : 1: order_py_execute_after_rewriter 0.03% : 0.000004s : 1: partial_unused_args_eliminate 0.03% : 0.000005s : 1: pre_auto_parallel 0.11% : 0.000015s : 1: py_interpret_to_execute 0.11% : 0.000015s : 1: py_interpret_to_execute_after_opt_a 0.13% : 0.000018s : 1: remove_dup_value 2.67% : 0.000370s : 1: renormalize.infer 1.98% : 0.000274s : 1: renormalize.specialize 0.05% : 0.000007s : 1: rewriter_after_jit_bprop_graph 1.05% : 0.000146s : 1: rewriter_after_opt_a 0.30% : 0.000041s : 1: rewriter_before_opt_a 0.65% : 0.000090s : 1: symbol_engine_optimizer 31.78% : 0.004409s : 1: type_inference [WARNING] DEVICE(165908,fffe754b6060,python3.9):2026-01-29-17:39:28.730.441 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:59] UpdateDeviceToRemote] UpdateDeviceToRemote is not implemented yet. TotalTime = 0.0124308, [30] [bootstrap]: 0.00029585 [type_inference]: 0.00420711 [event_method]: 1.366e-05 [auto_monad]: 0.0001143 [graph_reusing]: 5.71e-06 [pre_auto_parallel]: 3.39001e-06 [py_interpret_to_execute]: 1.391e-05 [rewriter_before_opt_a]: 4.267e-05 [expand_dump_flag]: 2.89001e-06 [jit_opt_a]: 0.00523873, [2] [Cycle 1]: 0.00144331, [27] [switch_simplify]: 4.02e-05 [loop_unroll]: 1.328e-05 [a_1]: 0.00033975 [with_stream_mark]: 2.524e-05 [recompute_prepare]: 9.94001e-06 [updatestate_depend_eliminate]: 6.04001e-06 [updatestate_assign_eliminate]: 4.90999e-06 [updatestate_loads_eliminate]: 4.69002e-06 [parameter_eliminate]: 2.00002e-06 [specialize_transform]: 8.92e-06 [updatestate_useless_node_eliminater]: 1.166e-05 [accelerated_algorithm]: 7.74002e-06 [meta_shard_fg_expand]: 2.46e-06 [get_grad_eliminate_]: 7.4e-06 [merge_forward]: 5.10999e-06 [cell_reuse_recompute_pass]: 1.10001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.028e-05 [j_node_and_user_rematch]: 1.304e-05 [meta_fg_expand]: 3.01001e-06 [replace_old_param]: 1.197e-05 [inline_without_move]: 8.05e-06 [renormalize]: 0.00063616 [add_forward_monad_depend]: 6.53998e-06 [auto_monad_grad]: 2.62001e-06 [auto_monad_eliminator]: 2.256e-05 [cse]: 3.39e-05 [replace_applicator]: 1.729e-05 [Cycle 2]: 0.00045717, [27] [switch_simplify]: 9.34e-06 [loop_unroll]: 7.13e-06 [a_1]: 0.00016372 [with_stream_mark]: 1.262e-05 [recompute_prepare]: 8.35001e-06 [updatestate_depend_eliminate]: 5.10999e-06 [updatestate_assign_eliminate]: 4.34002e-06 [updatestate_loads_eliminate]: 4.1e-06 [parameter_eliminate]: 1.09e-06 [specialize_transform]: 7.7e-06 [updatestate_useless_node_eliminater]: 9.88002e-06 [accelerated_algorithm]: 7.7e-06 [meta_shard_fg_expand]: 1.86998e-06 [get_grad_eliminate_]: 7.18e-06 [merge_forward]: 4.42e-06 [cell_reuse_recompute_pass]: 1.35001e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.662e-05 [j_node_and_user_rematch]: 1.194e-05 [meta_fg_expand]: 2.53e-06 [replace_old_param]: 1.025e-05 [inline_without_move]: 7.75e-06 [renormalize]: 6.00121e-08 [add_forward_monad_depend]: 1.20001e-06 [auto_monad_grad]: 1.00999e-06 [auto_monad_eliminator]: 1.055e-05 [cse]: 1.657e-05 [replace_applicator]: 8.10999e-06 [py_interpret_to_execute_after_opt_a]: 1.34e-05 [rewriter_after_opt_a]: 0.00014765 [convert_after_rewriter]: 1.107e-05 [order_py_execute_after_rewriter]: 7.03e-06 [mutable_eliminate]: 0.0005356 [jit_opt_b]: 6.63e-05, [1] [Cycle 1]: 5.892e-05, [2] [frontend_op_eliminate]: 2.335e-05 [inline_after_opt_a]: 2.338e-05 [cconv]: 2.92e-05 [loop_unroll]: 0.00041167 [jit_opt_after_cconv]: 0.00021411, [1] [Cycle 1]: 0.00020704, [11] [c_1]: 4.522e-05 [parameter_eliminate]: 3.89002e-06 [updatestate_depend_eliminate]: 1.013e-05 [updatestate_assign_eliminate]: 4.48001e-06 [updatestate_loads_eliminate]: 4.68999e-06 [cse]: 2.74e-05 [call_graph_tuple_transform]: 4.031e-05 [tuple_list_get_item_eliminator]: 7.98001e-06 [none_parameter_eliminate]: 1.97999e-06 [renormalize]: 7.09988e-07 [switch_simplify]: 8.06001e-06 [remove_dup_value]: 1.599e-05 [partial_unused_args_eliminate]: 2.32999e-06 [environ_conv]: 8.08001e-06 [add_recomputation]: 6.955e-05 [cse_after_recomputation]: 2.701e-05, [1] [Cycle 1]: 2.104e-05, [1] [cse]: 1.487e-05 [auto_monad_reorder]: 2.77e-05 [get_jit_bprop_graph]: 2.59999e-06 [rewriter_after_jit_bprop_graph]: 6.36e-06 [opt_after_jit_grad]: 0.00056038 [symbol_engine_optimizer]: 8.822e-05, [1] [Cycle 1]: 8.228e-05, [6] [build]: 5.70001e-06 [elim_shapecalc]: 1.07e-05 [elim_not_effective]: 1.806e-05 [opt_reshape]: 8.14997e-06 [fold_const_symbol]: 1.209e-05 [renormalize]: 5.00004e-07 [validate]: 5.04e-05 Sums bootstrap : 0.000296s : 3.49% type_inference : 0.004207s : 49.62% event_method : 0.000014s : 0.16% auto_monad : 0.000114s : 1.35% graph_reusing : 0.000006s : 0.07% pre_auto_parallel : 0.000003s : 0.04% py_interpret_to_execute : 0.000014s : 0.16% rewriter_before_opt_a : 0.000043s : 0.50% expand_dump_flag : 0.000003s : 0.03% jit_opt_a.switch_simplify : 0.000050s : 0.58% jit_opt_a.loop_unroll : 0.000020s : 0.24% jit_opt_a.a_1 : 0.000503s : 5.94% jit_opt_a.with_stream_mark : 0.000038s : 0.45% jit_opt_a.recompute_prepare : 0.000018s : 0.22% jit_opt_a.updatestate_depend_eliminate : 0.000011s : 0.13% jit_opt_a.updatestate_assign_eliminate : 0.000009s : 0.11% jit_opt_a.updatestate_loads_eliminate : 0.000009s : 0.10% jit_opt_a.parameter_eliminate : 0.000003s : 0.04% jit_opt_a.specialize_transform : 0.000017s : 0.20% jit_opt_a.updatestate_useless_node_eliminater : 0.000022s : 0.25% jit_opt_a.accelerated_algorithm : 0.000015s : 0.18% jit_opt_a.meta_shard_fg_expand : 0.000004s : 0.05% jit_opt_a.get_grad_eliminate_ : 0.000015s : 0.17% jit_opt_a.merge_forward : 0.000010s : 0.11% jit_opt_a.cell_reuse_recompute_pass : 0.000002s : 0.03% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000037s : 0.44% jit_opt_a.j_node_and_user_rematch : 0.000025s : 0.29% jit_opt_a.meta_fg_expand : 0.000006s : 0.07% jit_opt_a.replace_old_param : 0.000022s : 0.26% jit_opt_a.inline_without_move : 0.000016s : 0.19% jit_opt_a.renormalize : 0.000636s : 7.50% jit_opt_a.add_forward_monad_depend : 0.000008s : 0.09% jit_opt_a.auto_monad_grad : 0.000004s : 0.04% jit_opt_a.auto_monad_eliminator : 0.000033s : 0.39% jit_opt_a.cse : 0.000050s : 0.60% jit_opt_a.replace_applicator : 0.000025s : 0.30% py_interpret_to_execute_after_opt_a : 0.000013s : 0.16% rewriter_after_opt_a : 0.000148s : 1.74% convert_after_rewriter : 0.000011s : 0.13% order_py_execute_after_rewriter : 0.000007s : 0.08% mutable_eliminate : 0.000536s : 6.32% jit_opt_b.frontend_op_eliminate : 0.000023s : 0.28% jit_opt_b.inline_after_opt_a : 0.000023s : 0.28% cconv : 0.000029s : 0.34% loop_unroll : 0.000412s : 4.86% jit_opt_after_cconv.c_1 : 0.000045s : 0.53% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.05% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000010s : 0.12% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000004s : 0.05% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.06% jit_opt_after_cconv.cse : 0.000027s : 0.32% jit_opt_after_cconv.call_graph_tuple_transform : 0.000040s : 0.48% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000008s : 0.09% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.02% jit_opt_after_cconv.renormalize : 0.000001s : 0.01% jit_opt_after_cconv.switch_simplify : 0.000008s : 0.10% remove_dup_value : 0.000016s : 0.19% partial_unused_args_eliminate : 0.000002s : 0.03% environ_conv : 0.000008s : 0.10% add_recomputation : 0.000070s : 0.82% cse_after_recomputation.cse : 0.000015s : 0.18% auto_monad_reorder : 0.000028s : 0.33% get_jit_bprop_graph : 0.000003s : 0.03% rewriter_after_jit_bprop_graph : 0.000006s : 0.08% opt_after_jit_grad : 0.000560s : 6.61% symbol_engine_optimizer.build : 0.000006s : 0.07% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.13% symbol_engine_optimizer.elim_not_effective : 0.000018s : 0.21% symbol_engine_optimizer.opt_reshape : 0.000008s : 0.10% symbol_engine_optimizer.fold_const_symbol : 0.000012s : 0.14% symbol_engine_optimizer.renormalize : 0.000001s : 0.01% validate : 0.000050s : 0.59% Time group info: ------[substitution.] 0.000152 42 5.75% : 0.000009s : 2: substitution.depend_value_elim 1.85% : 0.000003s : 4: substitution.elim_not_effective 1.21% : 0.000002s : 4: substitution.fold_const_symbol 4.25% : 0.000006s : 5: substitution.graph_param_transform 63.09% : 0.000096s : 1: substitution.inline 2.88% : 0.000004s : 8: substitution.j_node_and_user_rematch 4.29% : 0.000007s : 8: substitution.remove_not_recompute_node 3.41% : 0.000005s : 2: substitution.replace_old_param 6.97% : 0.000011s : 3: substitution.updatestate_pure_node_eliminater 6.30% : 0.000010s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.004158 2 91.47% : 0.003803s : 1: type_inference.infer 8.53% : 0.000355s : 1: type_inference.specialize ------[replace.] 0.000016 1 100.00% : 0.000016s : 1: replace.inline ------[match.] 0.000094 1 100.00% : 0.000094s : 1: match.inline ------[predicate.] 0.000128 753 1.18% : 0.000002s : 11: predicate.accumulaten_eliminater 1.55% : 0.000002s : 5: predicate.ad_related_special_op_eliminate 1.06% : 0.000001s : 11: predicate.addn_check_dump 1.21% : 0.000002s : 11: predicate.addn_zero_filter 1.55% : 0.000002s : 11: predicate.arithmetic_simplify 1.25% : 0.000002s : 11: predicate.cast_eliminate 0.54% : 0.000001s : 5: predicate.check_bprop_eliminate 1.07% : 0.000001s : 11: predicate.compare_switch_simplify 1.30% : 0.000002s : 11: predicate.depend_value_elim 1.10% : 0.000001s : 11: predicate.dict_get_item_const_eliminator 1.33% : 0.000002s : 11: predicate.dict_get_item_eliminator 1.18% : 0.000002s : 11: predicate.dict_set_item_eliminator 1.52% : 0.000002s : 5: predicate.dumpgradient_eliminate 0.40% : 0.000001s : 5: predicate.elim_not_effective 0.76% : 0.000001s : 5: predicate.elim_shapecalc_of_broadcastargs 1.16% : 0.000001s : 11: predicate.environ_add_const_eliminate 1.06% : 0.000001s : 11: predicate.environ_get_add_eliminate 1.10% : 0.000001s : 11: predicate.environ_get_depend_swap 1.14% : 0.000001s : 11: predicate.environ_get_eliminate 1.04% : 0.000001s : 11: predicate.environ_get_set_eliminate 0.34% : 0.000000s : 5: predicate.fold_const_symbol 1.35% : 0.000002s : 10: predicate.get_grad_eliminate 0.41% : 0.000001s : 5: predicate.graph_param_transform 5.78% : 0.000007s : 22: predicate.inline 1.70% : 0.000002s : 10: predicate.inline_without_move 0.58% : 0.000001s : 10: predicate.j_node_and_user_rematch 1.51% : 0.000002s : 10: predicate.less_batch_normalization 1.26% : 0.000002s : 11: predicate.list_to_tuple_eliminator_ 1.77% : 0.000002s : 16: predicate.load_eliminater 1.67% : 0.000002s : 5: predicate.loop_unroll_after_grad 2.02% : 0.000003s : 15: predicate.loop_unroll_before_grad 2.06% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.07% : 0.000001s : 11: predicate.merge_addn 1.12% : 0.000001s : 11: predicate.minmaximum_grad 2.62% : 0.000003s : 5: predicate.mutable_eliminate 0.68% : 0.000001s : 5: predicate.opt_reshape 2.20% : 0.000003s : 16: predicate.partial_eliminate 1.22% : 0.000002s : 11: predicate.print_const_string_wrapper 1.69% : 0.000002s : 11: predicate.reduce_eliminate 1.21% : 0.000002s : 11: predicate.redundant_stop_gradient_eliminater 1.41% : 0.000002s : 10: predicate.remove_not_recompute_node 1.64% : 0.000002s : 21: predicate.replace_applicator 1.04% : 0.000001s : 10: predicate.replace_old_param 0.44% : 0.000001s : 5: predicate.reset_defer_inline 1.18% : 0.000002s : 11: predicate.reshape_eliminate 1.18% : 0.000002s : 11: predicate.row_tensor_add_zeros_like 1.19% : 0.000002s : 5: predicate.row_tensor_eliminate 1.28% : 0.000002s : 11: predicate.same_eliminate 0.79% : 0.000001s : 10: predicate.set_cell_output_no_recompute 1.23% : 0.000002s : 10: predicate.special_op_eliminate 1.43% : 0.000002s : 10: predicate.specialize_transform 1.34% : 0.000002s : 11: predicate.split_environ_get_set_with_tuple_value 1.21% : 0.000002s : 11: predicate.stack_unstack_eliminate 0.69% : 0.000001s : 5: predicate.switch_call_monad_eliminater 1.43% : 0.000002s : 12: predicate.switch_defer_inline 1.42% : 0.000002s : 12: predicate.switch_layer_defer_inline 6.03% : 0.000008s : 32: predicate.switch_simplify 1.31% : 0.000002s : 11: predicate.tile_eliminate 1.21% : 0.000002s : 11: predicate.transpose_eliminate 1.37% : 0.000002s : 11: predicate.tuple_list_convert_item_index_to_positive 1.25% : 0.000002s : 11: predicate.tuple_list_get_item_depend_reorder 4.10% : 0.000005s : 21: predicate.tuple_list_get_item_eliminator 1.53% : 0.000002s : 11: predicate.tuple_list_set_item_eliminator 1.31% : 0.000002s : 11: predicate.tuple_to_list_eliminator_ 1.78% : 0.000002s : 16: predicate.updatestate_pure_node_eliminater 3.59% : 0.000005s : 26: predicate.updatestate_useless_node_eliminater 1.39% : 0.000002s : 11: predicate.value_based_eliminate 0.54% : 0.000001s : 5: predicate.virtual_view_grad_eliminate 0.97% : 0.000001s : 5: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000195 4 9.54% : 0.000019s : 1: func_graph_cloner_run.FuncGraphClonerGraph 90.46% : 0.000176s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.013939 72 0.52% : 0.000073s : 1: add_recomputation 0.85% : 0.000119s : 1: auto_monad 0.22% : 0.000031s : 1: auto_monad_reorder 2.29% : 0.000320s : 1: bootstrap 0.23% : 0.000032s : 1: cconv 0.10% : 0.000014s : 1: convert_after_rewriter 0.21% : 0.000029s : 1: cse_after_recomputation 0.07% : 0.000010s : 1: environ_conv 0.13% : 0.000018s : 1: event_method 0.04% : 0.000005s : 1: expand_dump_flag 0.04% : 0.000005s : 1: get_jit_bprop_graph 0.06% : 0.000008s : 1: graph_reusing 37.60% : 0.005242s : 1: jit_opt_a 1.56% : 0.000217s : 1: jit_opt_after_cconv 0.49% : 0.000069s : 1: jit_opt_b 3.00% : 0.000418s : 1: loop_unroll 3.90% : 0.000543s : 1: mutable_eliminate 5.42% : 0.000755s : 26: opt.transform.jit_opt_a 0.70% : 0.000098s : 4: opt.transform.jit_opt_after_cconv 0.28% : 0.000039s : 4: opt.transform.jit_opt_b 0.11% : 0.000015s : 1: opt.transform.loop_unroll_optimizer 0.14% : 0.000020s : 1: opt.transform.mutable_eliminate 0.22% : 0.000031s : 1: opt.transform.opt_after_jit_grad 0.33% : 0.000046s : 4: opt.transform.symbol_engine_opt 4.08% : 0.000569s : 1: opt_after_jit_grad 0.07% : 0.000009s : 1: order_py_execute_after_rewriter 0.03% : 0.000004s : 1: partial_unused_args_eliminate 0.04% : 0.000006s : 1: pre_auto_parallel 0.12% : 0.000016s : 1: py_interpret_to_execute 0.11% : 0.000016s : 1: py_interpret_to_execute_after_opt_a 0.13% : 0.000018s : 1: remove_dup_value 2.64% : 0.000369s : 1: renormalize.infer 1.86% : 0.000259s : 1: renormalize.specialize 0.06% : 0.000009s : 1: rewriter_after_jit_bprop_graph 1.09% : 0.000152s : 1: rewriter_after_opt_a 0.33% : 0.000046s : 1: rewriter_before_opt_a 0.65% : 0.000091s : 1: symbol_engine_optimizer 30.27% : 0.004220s : 1: type_inference [WARNING] DEVICE(165908,fffe754b6060,python3.9):2026-01-29-17:39:28.882.149 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:59] UpdateDeviceToRemote] UpdateDeviceToRemote is not implemented yet. . [hook] pytest_runtest_teardown:test_hiar_addr_to_remote tests/st/hyper_offload/memory_ops/test_hyper_offload_ops.py::test_hiar_addr_to_remote,max_mem:4.0M =============================== 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") -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 1 passed, 25 warnings in 155.09s (0:02:35) ==================