[WARNING] ME(170620:281472835407664,MainProcess):2026-01-29-17:37:45.674.411 [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(170620:281472835407664,MainProcess):2026-01-29-17:37:45.675.318 [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_007/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 1 item test_hyper_offload_ops.py TotalTime = 0.453551, [31] [bootstrap]: 0.00064824 [type_inference]: 0.437527 [event_method]: 1.577e-05 [auto_monad]: 0.00016106 [graph_reusing]: 5.52001e-06 [pre_auto_parallel]: 1.328e-05 [py_interpret_to_execute]: 3.335e-05 [rewriter_before_opt_a]: 7.285e-05 [expand_dump_flag]: 3.3e-06 [jit_opt_a]: 0.0113355, [2] [Cycle 1]: 0.00205534, [27] [switch_simplify]: 5.39e-05 [loop_unroll]: 1.803e-05 [a_1]: 0.00047759 [with_stream_mark]: 3.149e-05 [recompute_prepare]: 1.362e-05 [updatestate_depend_eliminate]: 9.41e-06 [updatestate_assign_eliminate]: 9.10999e-06 [updatestate_loads_eliminate]: 7.85998e-06 [parameter_eliminate]: 1.74e-06 [specialize_transform]: 1.317e-05 [updatestate_useless_node_eliminater]: 1.738e-05 [accelerated_algorithm]: 1.151e-05 [meta_shard_fg_expand]: 3.58e-06 [get_grad_eliminate_]: 1.071e-05 [merge_forward]: 7.20998e-06 [cell_reuse_recompute_pass]: 1.26002e-06 [cell_reuse_handle_not_recompute_node_pass]: 4.71e-05 [j_node_and_user_rematch]: 2.066e-05 [meta_fg_expand]: 4.58999e-06 [replace_old_param]: 1.542e-05 [inline_without_move]: 1.121e-05 [renormalize]: 0.0008976 [add_forward_monad_depend]: 9.12001e-06 [auto_monad_grad]: 2.51e-06 [auto_monad_eliminator]: 3.253e-05 [cse]: 9.256e-05 [replace_applicator]: 2.443e-05 [Cycle 2]: 0.00070224, [27] [switch_simplify]: 1.242e-05 [loop_unroll]: 1.125e-05 [a_1]: 0.00029214 [with_stream_mark]: 1.931e-05 [recompute_prepare]: 1.213e-05 [updatestate_depend_eliminate]: 8.75999e-06 [updatestate_assign_eliminate]: 7.38e-06 [updatestate_loads_eliminate]: 7.46001e-06 [parameter_eliminate]: 1.80001e-06 [specialize_transform]: 1.215e-05 [updatestate_useless_node_eliminater]: 1.715e-05 [accelerated_algorithm]: 1.154e-05 [meta_shard_fg_expand]: 2.44999e-06 [get_grad_eliminate_]: 1.042e-05 [merge_forward]: 7.09001e-06 [cell_reuse_recompute_pass]: 1.95001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.508e-05 [j_node_and_user_rematch]: 1.979e-05 [meta_fg_expand]: 4.49002e-06 [replace_old_param]: 1.389e-05 [inline_without_move]: 1.1e-05 [renormalize]: 7.99773e-08 [add_forward_monad_depend]: 1.55001e-06 [auto_monad_grad]: 1.18001e-06 [auto_monad_eliminator]: 1.983e-05 [cse]: 3.453e-05 [replace_applicator]: 1.175e-05 [py_interpret_to_execute_after_opt_a]: 1.828e-05 [rewriter_after_opt_a]: 0.00021124 [convert_after_rewriter]: 1.52e-05 [order_py_execute_after_rewriter]: 8.87999e-06 [mutable_eliminate]: 0.00071666 [jit_opt_b]: 9.103e-05, [1] [Cycle 1]: 8.23e-05, [2] [frontend_op_eliminate]: 3.598e-05 [inline_after_opt_a]: 3.341e-05 [cconv]: 3.774e-05 [loop_unroll]: 0.00047597 [jit_opt_after_cconv]: 0.00029064, [1] [Cycle 1]: 0.00028332, [11] [c_1]: 7.832e-05 [parameter_eliminate]: 4.55999e-06 [updatestate_depend_eliminate]: 1.545e-05 [updatestate_assign_eliminate]: 8.22e-06 [updatestate_loads_eliminate]: 7.28e-06 [cse]: 5.758e-05 [call_graph_tuple_transform]: 3.26e-05 [tuple_list_get_item_eliminator]: 1.177e-05 [none_parameter_eliminate]: 1.47001e-06 [renormalize]: 8.00006e-07 [switch_simplify]: 1.165e-05 [remove_dup_value]: 5.819e-05 [partial_unused_args_eliminate]: 2.44999e-06 [environ_conv]: 2.384e-05 [add_recomputation]: 0.00010764 [cse_after_recomputation]: 4.758e-05, [1] [Cycle 1]: 4.067e-05, [1] [cse]: 3.125e-05 [auto_monad_reorder]: 4.801e-05 [get_jit_bprop_graph]: 2.79001e-06 [rewriter_after_jit_bprop_graph]: 6.20002e-06 [opt_after_jit_grad]: 0.00061169 [symbol_engine_optimizer]: 0.00012187, [1] [Cycle 1]: 0.00011512, [6] [build]: 9.15001e-06 [elim_shapecalc]: 1.554e-05 [elim_not_effective]: 2.638e-05 [opt_reshape]: 1.216e-05 [fold_const_symbol]: 2.108e-05 [renormalize]: 1.07e-06 [process_offload_annotation]: 1.9e-05 [validate]: 8.117e-05 Sums bootstrap : 0.000648s : 0.15% type_inference : 0.437527s : 98.59% event_method : 0.000016s : 0.00% auto_monad : 0.000161s : 0.04% graph_reusing : 0.000006s : 0.00% pre_auto_parallel : 0.000013s : 0.00% py_interpret_to_execute : 0.000033s : 0.01% rewriter_before_opt_a : 0.000073s : 0.02% expand_dump_flag : 0.000003s : 0.00% jit_opt_a.switch_simplify : 0.000066s : 0.01% jit_opt_a.loop_unroll : 0.000029s : 0.01% jit_opt_a.a_1 : 0.000770s : 0.17% jit_opt_a.with_stream_mark : 0.000051s : 0.01% jit_opt_a.recompute_prepare : 0.000026s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000018s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000016s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000015s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000025s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000035s : 0.01% jit_opt_a.accelerated_algorithm : 0.000023s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000006s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000021s : 0.00% jit_opt_a.merge_forward : 0.000014s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000003s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000072s : 0.02% jit_opt_a.j_node_and_user_rematch : 0.000040s : 0.01% jit_opt_a.meta_fg_expand : 0.000009s : 0.00% jit_opt_a.replace_old_param : 0.000029s : 0.01% jit_opt_a.inline_without_move : 0.000022s : 0.01% jit_opt_a.renormalize : 0.000898s : 0.20% jit_opt_a.add_forward_monad_depend : 0.000011s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000052s : 0.01% jit_opt_a.cse : 0.000127s : 0.03% jit_opt_a.replace_applicator : 0.000036s : 0.01% py_interpret_to_execute_after_opt_a : 0.000018s : 0.00% rewriter_after_opt_a : 0.000211s : 0.05% convert_after_rewriter : 0.000015s : 0.00% order_py_execute_after_rewriter : 0.000009s : 0.00% mutable_eliminate : 0.000717s : 0.16% jit_opt_b.frontend_op_eliminate : 0.000036s : 0.01% jit_opt_b.inline_after_opt_a : 0.000033s : 0.01% cconv : 0.000038s : 0.01% loop_unroll : 0.000476s : 0.11% jit_opt_after_cconv.c_1 : 0.000078s : 0.02% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000015s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000008s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000007s : 0.00% jit_opt_after_cconv.cse : 0.000058s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000033s : 0.01% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000012s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000001s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000012s : 0.00% remove_dup_value : 0.000058s : 0.01% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000024s : 0.01% add_recomputation : 0.000108s : 0.02% cse_after_recomputation.cse : 0.000031s : 0.01% auto_monad_reorder : 0.000048s : 0.01% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.00% opt_after_jit_grad : 0.000612s : 0.14% symbol_engine_optimizer.build : 0.000009s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000016s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000026s : 0.01% symbol_engine_optimizer.opt_reshape : 0.000012s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000021s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% process_offload_annotation : 0.000019s : 0.00% validate : 0.000081s : 0.02% Time group info: ------[substitution.] 0.000218 86 4.11% : 0.000009s : 2: substitution.depend_value_elim 1.85% : 0.000004s : 8: substitution.elim_not_effective 1.32% : 0.000003s : 8: substitution.fold_const_symbol 4.46% : 0.000010s : 9: substitution.graph_param_transform 51.03% : 0.000111s : 1: substitution.inline 3.53% : 0.000008s : 16: substitution.j_node_and_user_rematch 13.06% : 0.000028s : 16: substitution.remove_not_recompute_node 2.81% : 0.000006s : 2: substitution.replace_old_param 9.09% : 0.000020s : 9: substitution.updatestate_pure_node_eliminater 8.74% : 0.000019s : 15: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.437446 2 99.85% : 0.436796s : 1: type_inference.infer 0.15% : 0.000649s : 1: type_inference.specialize ------[replace.] 0.000018 1 100.00% : 0.000018s : 1: replace.inline ------[match.] 0.000110 1 100.00% : 0.000110s : 1: match.inline ------[predicate.] 0.000207 1309 1.21% : 0.000003s : 19: predicate.accumulaten_eliminater 1.78% : 0.000004s : 9: predicate.ad_related_special_op_eliminate 1.22% : 0.000003s : 19: predicate.addn_check_dump 1.38% : 0.000003s : 19: predicate.addn_zero_filter 1.83% : 0.000004s : 19: predicate.arithmetic_simplify 1.24% : 0.000003s : 19: predicate.cast_eliminate 0.74% : 0.000002s : 9: predicate.check_bprop_eliminate 1.17% : 0.000002s : 19: predicate.compare_switch_simplify 1.30% : 0.000003s : 19: predicate.depend_value_elim 1.27% : 0.000003s : 19: predicate.dict_get_item_const_eliminator 1.31% : 0.000003s : 19: predicate.dict_get_item_eliminator 1.28% : 0.000003s : 19: predicate.dict_set_item_eliminator 1.12% : 0.000002s : 9: predicate.dumpgradient_eliminate 0.41% : 0.000001s : 9: predicate.elim_not_effective 0.88% : 0.000002s : 9: predicate.elim_shapecalc_of_broadcastargs 1.23% : 0.000003s : 19: predicate.environ_add_const_eliminate 1.25% : 0.000003s : 19: predicate.environ_get_add_eliminate 1.20% : 0.000002s : 19: predicate.environ_get_depend_swap 1.23% : 0.000003s : 19: predicate.environ_get_eliminate 1.18% : 0.000002s : 19: predicate.environ_get_set_eliminate 0.35% : 0.000001s : 9: predicate.fold_const_symbol 1.35% : 0.000003s : 18: predicate.get_grad_eliminate 0.37% : 0.000001s : 9: predicate.graph_param_transform 5.24% : 0.000011s : 38: predicate.inline 1.54% : 0.000003s : 18: predicate.inline_without_move 0.62% : 0.000001s : 18: predicate.j_node_and_user_rematch 1.81% : 0.000004s : 18: predicate.less_batch_normalization 1.25% : 0.000003s : 19: predicate.list_to_tuple_eliminator_ 2.02% : 0.000004s : 28: predicate.load_eliminater 1.83% : 0.000004s : 9: predicate.loop_unroll_after_grad 1.76% : 0.000004s : 23: predicate.loop_unroll_before_grad 2.15% : 0.000004s : 28: predicate.make_slice_get_slice_eliminator 1.17% : 0.000002s : 19: predicate.merge_addn 1.14% : 0.000002s : 19: predicate.minmaximum_grad 2.24% : 0.000005s : 9: predicate.mutable_eliminate 0.72% : 0.000002s : 9: predicate.opt_reshape 2.32% : 0.000005s : 28: predicate.partial_eliminate 1.24% : 0.000003s : 19: predicate.print_const_string_wrapper 1.58% : 0.000003s : 19: predicate.reduce_eliminate 1.26% : 0.000003s : 19: predicate.redundant_stop_gradient_eliminater 0.88% : 0.000002s : 18: predicate.remove_not_recompute_node 1.69% : 0.000004s : 37: predicate.replace_applicator 0.72% : 0.000001s : 18: predicate.replace_old_param 0.51% : 0.000001s : 9: predicate.reset_defer_inline 1.36% : 0.000003s : 19: predicate.reshape_eliminate 1.23% : 0.000003s : 19: predicate.row_tensor_add_zeros_like 1.10% : 0.000002s : 9: predicate.row_tensor_eliminate 1.22% : 0.000003s : 19: predicate.same_eliminate 0.75% : 0.000002s : 18: predicate.set_cell_output_no_recompute 1.44% : 0.000003s : 18: predicate.special_op_eliminate 1.64% : 0.000003s : 18: predicate.specialize_transform 1.42% : 0.000003s : 19: predicate.split_environ_get_set_with_tuple_value 1.23% : 0.000003s : 19: predicate.stack_unstack_eliminate 0.82% : 0.000002s : 9: predicate.switch_call_monad_eliminater 1.42% : 0.000003s : 20: predicate.switch_defer_inline 1.32% : 0.000003s : 20: predicate.switch_layer_defer_inline 4.58% : 0.000010s : 52: predicate.switch_simplify 1.26% : 0.000003s : 19: predicate.tile_eliminate 1.29% : 0.000003s : 19: predicate.transpose_eliminate 1.50% : 0.000003s : 19: predicate.tuple_list_convert_item_index_to_positive 1.32% : 0.000003s : 19: predicate.tuple_list_get_item_depend_reorder 3.56% : 0.000007s : 37: predicate.tuple_list_get_item_eliminator 1.51% : 0.000003s : 19: predicate.tuple_list_set_item_eliminator 1.24% : 0.000003s : 19: predicate.tuple_to_list_eliminator_ 1.97% : 0.000004s : 28: predicate.updatestate_pure_node_eliminater 3.65% : 0.000008s : 46: predicate.updatestate_useless_node_eliminater 1.55% : 0.000003s : 19: predicate.value_based_eliminate 0.64% : 0.000001s : 9: predicate.virtual_view_grad_eliminate 0.96% : 0.000002s : 9: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000327 4 7.50% : 0.000025s : 1: func_graph_cloner_run.FuncGraphClonerGraph 92.50% : 0.000303s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.455287 73 0.02% : 0.000112s : 1: add_recomputation 0.04% : 0.000166s : 1: auto_monad 0.01% : 0.000051s : 1: auto_monad_reorder 0.15% : 0.000678s : 1: bootstrap 0.01% : 0.000041s : 1: cconv 0.00% : 0.000018s : 1: convert_after_rewriter 0.01% : 0.000050s : 1: cse_after_recomputation 0.01% : 0.000026s : 1: environ_conv 0.00% : 0.000021s : 1: event_method 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000008s : 1: graph_reusing 2.49% : 0.011340s : 1: jit_opt_a 0.06% : 0.000293s : 1: jit_opt_after_cconv 0.02% : 0.000094s : 1: jit_opt_b 0.11% : 0.000483s : 1: loop_unroll 0.16% : 0.000726s : 1: mutable_eliminate 0.25% : 0.001154s : 26: opt.transform.jit_opt_a 0.03% : 0.000131s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000062s : 4: opt.transform.jit_opt_b 0.00% : 0.000022s : 1: opt.transform.loop_unroll_optimizer 0.01% : 0.000028s : 1: opt.transform.mutable_eliminate 0.01% : 0.000047s : 1: opt.transform.opt_after_jit_grad 0.02% : 0.000071s : 4: opt.transform.symbol_engine_opt 0.14% : 0.000622s : 1: opt_after_jit_grad 0.00% : 0.000011s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000016s : 1: pre_auto_parallel 0.00% : 0.000022s : 1: process_offload_annotation 0.01% : 0.000036s : 1: py_interpret_to_execute 0.00% : 0.000021s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000061s : 1: remove_dup_value 0.11% : 0.000513s : 1: renormalize.infer 0.08% : 0.000376s : 1: renormalize.specialize 0.00% : 0.000008s : 1: rewriter_after_jit_bprop_graph 0.05% : 0.000216s : 1: rewriter_after_opt_a 0.02% : 0.000076s : 1: rewriter_before_opt_a 0.03% : 0.000125s : 1: symbol_engine_optimizer 96.10% : 0.437548s : 1: type_inference [WARNING] DEVICE(170620,fffe3ccb5060,python3.9):2026-01-29-17:38:11.589.632 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:59] UpdateDeviceToRemote] UpdateDeviceToRemote is not implemented yet. [WARNING] DEVICE(170620,fffe3ccb5060,python3.9):2026-01-29-17:38:11.589.739 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:80] DetachDevice] DetachDevice is not implemented yet. [WARNING] DEVICE(170620,fffe3ccb5060,python3.9):2026-01-29-17:38:11.589.762 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:80] DetachDevice] DetachDevice is not implemented yet. TotalTime = 0.10102, [31] [bootstrap]: 0.00049059 [type_inference]: 0.0213238 [event_method]: 1.761e-05 [auto_monad]: 0.00014563 [graph_reusing]: 5.75001e-06 [pre_auto_parallel]: 1.97001e-06 [py_interpret_to_execute]: 3.377e-05 [rewriter_before_opt_a]: 5.975e-05 [expand_dump_flag]: 0.0678992 [jit_opt_a]: 0.00797925, [2] [Cycle 1]: 0.00229143, [27] [switch_simplify]: 5.775e-05 [loop_unroll]: 1.749e-05 [a_1]: 0.00050416 [with_stream_mark]: 3.56e-05 [recompute_prepare]: 1.293e-05 [updatestate_depend_eliminate]: 1.141e-05 [updatestate_assign_eliminate]: 8.87999e-06 [updatestate_loads_eliminate]: 7.75e-06 [parameter_eliminate]: 2.15002e-06 [specialize_transform]: 4.176e-05 [updatestate_useless_node_eliminater]: 2.112e-05 [accelerated_algorithm]: 1.224e-05 [meta_shard_fg_expand]: 3.98001e-06 [get_grad_eliminate_]: 1.121e-05 [merge_forward]: 9.34998e-06 [cell_reuse_recompute_pass]: 2.14e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.891e-05 [j_node_and_user_rematch]: 2.024e-05 [meta_fg_expand]: 4.89e-06 [replace_old_param]: 1.658e-05 [inline_without_move]: 1.115e-05 [renormalize]: 0.00108656 [add_forward_monad_depend]: 1.636e-05 [auto_monad_grad]: 2.94001e-06 [auto_monad_eliminator]: 3.366e-05 [cse]: 7.02e-05 [replace_applicator]: 2.358e-05 [Cycle 2]: 0.00074769, [27] [switch_simplify]: 1.221e-05 [loop_unroll]: 1.139e-05 [a_1]: 0.00030643 [with_stream_mark]: 1.879e-05 [recompute_prepare]: 1.183e-05 [updatestate_depend_eliminate]: 8.77999e-06 [updatestate_assign_eliminate]: 8.09997e-06 [updatestate_loads_eliminate]: 6.69999e-06 [parameter_eliminate]: 1.64e-06 [specialize_transform]: 1.163e-05 [updatestate_useless_node_eliminater]: 1.833e-05 [accelerated_algorithm]: 1.122e-05 [meta_shard_fg_expand]: 2.64999e-06 [get_grad_eliminate_]: 1.078e-05 [merge_forward]: 7.46999e-06 [cell_reuse_recompute_pass]: 2.27999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.462e-05 [j_node_and_user_rematch]: 1.988e-05 [meta_fg_expand]: 5.12e-06 [replace_old_param]: 1.293e-05 [inline_without_move]: 1.364e-05 [renormalize]: 1.00001e-07 [add_forward_monad_depend]: 1.69998e-06 [auto_monad_grad]: 1.54e-06 [auto_monad_eliminator]: 1.951e-05 [cse]: 3.56e-05 [replace_applicator]: 1.21e-05 [py_interpret_to_execute_after_opt_a]: 1.91e-05 [rewriter_after_opt_a]: 0.00017153 [convert_after_rewriter]: 1.431e-05 [order_py_execute_after_rewriter]: 9.13002e-06 [mutable_eliminate]: 0.00071854 [jit_opt_b]: 9.369e-05, [1] [Cycle 1]: 8.589e-05, [2] [frontend_op_eliminate]: 3.793e-05 [inline_after_opt_a]: 3.414e-05 [cconv]: 3.422e-05 [loop_unroll]: 0.00044541 [jit_opt_after_cconv]: 0.00030177, [1] [Cycle 1]: 0.00029469, [11] [c_1]: 0.0001037 [parameter_eliminate]: 4.40999e-06 [updatestate_depend_eliminate]: 1.205e-05 [updatestate_assign_eliminate]: 7.5e-06 [updatestate_loads_eliminate]: 7.39002e-06 [cse]: 4.581e-05 [call_graph_tuple_transform]: 3.098e-05 [tuple_list_get_item_eliminator]: 1.195e-05 [none_parameter_eliminate]: 1.81e-06 [renormalize]: 8.00006e-07 [switch_simplify]: 1.175e-05 [remove_dup_value]: 5.463e-05 [partial_unused_args_eliminate]: 2.81e-06 [environ_conv]: 1.001e-05 [add_recomputation]: 0.00013115 [cse_after_recomputation]: 4.569e-05, [1] [Cycle 1]: 3.919e-05, [1] [cse]: 3.094e-05 [auto_monad_reorder]: 3.864e-05 [get_jit_bprop_graph]: 2.11998e-06 [rewriter_after_jit_bprop_graph]: 5.79999e-06 [opt_after_jit_grad]: 0.00049404 [symbol_engine_optimizer]: 0.00011665, [1] [Cycle 1]: 0.00011028, [6] [build]: 7.25e-06 [elim_shapecalc]: 1.567e-05 [elim_not_effective]: 2.611e-05 [opt_reshape]: 1.218e-05 [fold_const_symbol]: 1.991e-05 [renormalize]: 5.09986e-07 [process_offload_annotation]: 1.738e-05 [validate]: 5.968e-05 Sums bootstrap : 0.000491s : 0.51% type_inference : 0.021324s : 22.38% event_method : 0.000018s : 0.02% auto_monad : 0.000146s : 0.15% graph_reusing : 0.000006s : 0.01% pre_auto_parallel : 0.000002s : 0.00% py_interpret_to_execute : 0.000034s : 0.04% rewriter_before_opt_a : 0.000060s : 0.06% expand_dump_flag : 0.067899s : 71.25% jit_opt_a.switch_simplify : 0.000070s : 0.07% jit_opt_a.loop_unroll : 0.000029s : 0.03% jit_opt_a.a_1 : 0.000811s : 0.85% jit_opt_a.with_stream_mark : 0.000054s : 0.06% jit_opt_a.recompute_prepare : 0.000025s : 0.03% jit_opt_a.updatestate_depend_eliminate : 0.000020s : 0.02% jit_opt_a.updatestate_assign_eliminate : 0.000017s : 0.02% jit_opt_a.updatestate_loads_eliminate : 0.000014s : 0.02% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000053s : 0.06% jit_opt_a.updatestate_useless_node_eliminater : 0.000039s : 0.04% jit_opt_a.accelerated_algorithm : 0.000023s : 0.02% jit_opt_a.meta_shard_fg_expand : 0.000007s : 0.01% jit_opt_a.get_grad_eliminate_ : 0.000022s : 0.02% jit_opt_a.merge_forward : 0.000017s : 0.02% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000054s : 0.06% jit_opt_a.j_node_and_user_rematch : 0.000040s : 0.04% jit_opt_a.meta_fg_expand : 0.000010s : 0.01% jit_opt_a.replace_old_param : 0.000030s : 0.03% jit_opt_a.inline_without_move : 0.000025s : 0.03% jit_opt_a.renormalize : 0.001087s : 1.14% jit_opt_a.add_forward_monad_depend : 0.000018s : 0.02% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000053s : 0.06% jit_opt_a.cse : 0.000106s : 0.11% jit_opt_a.replace_applicator : 0.000036s : 0.04% py_interpret_to_execute_after_opt_a : 0.000019s : 0.02% rewriter_after_opt_a : 0.000172s : 0.18% convert_after_rewriter : 0.000014s : 0.02% order_py_execute_after_rewriter : 0.000009s : 0.01% mutable_eliminate : 0.000719s : 0.75% jit_opt_b.frontend_op_eliminate : 0.000038s : 0.04% jit_opt_b.inline_after_opt_a : 0.000034s : 0.04% cconv : 0.000034s : 0.04% loop_unroll : 0.000445s : 0.47% jit_opt_after_cconv.c_1 : 0.000104s : 0.11% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 0.01% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000007s : 0.01% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000007s : 0.01% jit_opt_after_cconv.cse : 0.000046s : 0.05% jit_opt_after_cconv.call_graph_tuple_transform : 0.000031s : 0.03% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000012s : 0.01% 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 : 0.000012s : 0.01% remove_dup_value : 0.000055s : 0.06% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000010s : 0.01% add_recomputation : 0.000131s : 0.14% cse_after_recomputation.cse : 0.000031s : 0.03% auto_monad_reorder : 0.000039s : 0.04% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.01% opt_after_jit_grad : 0.000494s : 0.52% symbol_engine_optimizer.build : 0.000007s : 0.01% symbol_engine_optimizer.elim_shapecalc : 0.000016s : 0.02% symbol_engine_optimizer.elim_not_effective : 0.000026s : 0.03% symbol_engine_optimizer.opt_reshape : 0.000012s : 0.01% symbol_engine_optimizer.fold_const_symbol : 0.000020s : 0.02% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% process_offload_annotation : 0.000017s : 0.02% validate : 0.000060s : 0.06% Time group info: ------[substitution.] 0.000236 86 4.36% : 0.000010s : 2: substitution.depend_value_elim 1.94% : 0.000005s : 8: substitution.elim_not_effective 1.39% : 0.000003s : 8: substitution.fold_const_symbol 3.99% : 0.000009s : 9: substitution.graph_param_transform 51.78% : 0.000122s : 1: substitution.inline 3.36% : 0.000008s : 16: substitution.j_node_and_user_rematch 5.05% : 0.000012s : 16: substitution.remove_not_recompute_node 2.53% : 0.000006s : 2: substitution.replace_old_param 17.05% : 0.000040s : 9: substitution.updatestate_pure_node_eliminater 8.56% : 0.000020s : 15: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.021254 2 96.95% : 0.020607s : 1: type_inference.infer 3.05% : 0.000647s : 1: type_inference.specialize ------[replace.] 0.000019 1 100.00% : 0.000019s : 1: replace.inline ------[match.] 0.000120 1 100.00% : 0.000120s : 1: match.inline ------[predicate.] 0.000219 1309 1.36% : 0.000003s : 19: predicate.accumulaten_eliminater 1.26% : 0.000003s : 9: predicate.ad_related_special_op_eliminate 1.19% : 0.000003s : 19: predicate.addn_check_dump 1.44% : 0.000003s : 19: predicate.addn_zero_filter 1.92% : 0.000004s : 19: predicate.arithmetic_simplify 1.34% : 0.000003s : 19: predicate.cast_eliminate 0.70% : 0.000002s : 9: predicate.check_bprop_eliminate 1.33% : 0.000003s : 19: predicate.compare_switch_simplify 1.41% : 0.000003s : 19: predicate.depend_value_elim 1.18% : 0.000003s : 19: predicate.dict_get_item_const_eliminator 1.28% : 0.000003s : 19: predicate.dict_get_item_eliminator 1.32% : 0.000003s : 19: predicate.dict_set_item_eliminator 1.10% : 0.000002s : 9: predicate.dumpgradient_eliminate 0.38% : 0.000001s : 9: predicate.elim_not_effective 0.87% : 0.000002s : 9: predicate.elim_shapecalc_of_broadcastargs 1.20% : 0.000003s : 19: predicate.environ_add_const_eliminate 1.19% : 0.000003s : 19: predicate.environ_get_add_eliminate 1.16% : 0.000003s : 19: predicate.environ_get_depend_swap 1.33% : 0.000003s : 19: predicate.environ_get_eliminate 1.25% : 0.000003s : 19: predicate.environ_get_set_eliminate 0.33% : 0.000001s : 9: predicate.fold_const_symbol 1.41% : 0.000003s : 18: predicate.get_grad_eliminate 0.46% : 0.000001s : 9: predicate.graph_param_transform 4.81% : 0.000011s : 38: predicate.inline 1.76% : 0.000004s : 18: predicate.inline_without_move 0.61% : 0.000001s : 18: predicate.j_node_and_user_rematch 1.66% : 0.000004s : 18: predicate.less_batch_normalization 1.34% : 0.000003s : 19: predicate.list_to_tuple_eliminator_ 2.18% : 0.000005s : 28: predicate.load_eliminater 1.44% : 0.000003s : 9: predicate.loop_unroll_after_grad 1.85% : 0.000004s : 23: predicate.loop_unroll_before_grad 2.27% : 0.000005s : 28: predicate.make_slice_get_slice_eliminator 1.14% : 0.000002s : 19: predicate.merge_addn 1.18% : 0.000003s : 19: predicate.minmaximum_grad 1.66% : 0.000004s : 9: predicate.mutable_eliminate 0.69% : 0.000002s : 9: predicate.opt_reshape 2.38% : 0.000005s : 28: predicate.partial_eliminate 1.22% : 0.000003s : 19: predicate.print_const_string_wrapper 1.63% : 0.000004s : 19: predicate.reduce_eliminate 1.34% : 0.000003s : 19: predicate.redundant_stop_gradient_eliminater 0.90% : 0.000002s : 18: predicate.remove_not_recompute_node 1.65% : 0.000004s : 37: predicate.replace_applicator 0.80% : 0.000002s : 18: predicate.replace_old_param 0.49% : 0.000001s : 9: predicate.reset_defer_inline 1.24% : 0.000003s : 19: predicate.reshape_eliminate 1.32% : 0.000003s : 19: predicate.row_tensor_add_zeros_like 0.89% : 0.000002s : 9: predicate.row_tensor_eliminate 1.35% : 0.000003s : 19: predicate.same_eliminate 0.69% : 0.000002s : 18: predicate.set_cell_output_no_recompute 1.32% : 0.000003s : 18: predicate.special_op_eliminate 1.44% : 0.000003s : 18: predicate.specialize_transform 1.44% : 0.000003s : 19: predicate.split_environ_get_set_with_tuple_value 1.18% : 0.000003s : 19: predicate.stack_unstack_eliminate 0.84% : 0.000002s : 9: predicate.switch_call_monad_eliminater 1.48% : 0.000003s : 20: predicate.switch_defer_inline 1.34% : 0.000003s : 20: predicate.switch_layer_defer_inline 4.41% : 0.000010s : 52: predicate.switch_simplify 1.23% : 0.000003s : 19: predicate.tile_eliminate 1.34% : 0.000003s : 19: predicate.transpose_eliminate 1.50% : 0.000003s : 19: predicate.tuple_list_convert_item_index_to_positive 1.43% : 0.000003s : 19: predicate.tuple_list_get_item_depend_reorder 3.70% : 0.000008s : 37: predicate.tuple_list_get_item_eliminator 1.69% : 0.000004s : 19: predicate.tuple_list_set_item_eliminator 1.43% : 0.000003s : 19: predicate.tuple_to_list_eliminator_ 1.96% : 0.000004s : 28: predicate.updatestate_pure_node_eliminater 4.00% : 0.000009s : 46: predicate.updatestate_useless_node_eliminater 1.66% : 0.000004s : 19: predicate.value_based_eliminate 0.59% : 0.000001s : 9: predicate.virtual_view_grad_eliminate 1.13% : 0.000002s : 9: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000326 4 6.84% : 0.000022s : 1: func_graph_cloner_run.FuncGraphClonerGraph 93.16% : 0.000303s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.103529 73 0.13% : 0.000136s : 1: add_recomputation 0.15% : 0.000151s : 1: auto_monad 0.04% : 0.000042s : 1: auto_monad_reorder 0.49% : 0.000512s : 1: bootstrap 0.04% : 0.000037s : 1: cconv 0.02% : 0.000017s : 1: convert_after_rewriter 0.05% : 0.000048s : 1: cse_after_recomputation 0.01% : 0.000012s : 1: environ_conv 0.02% : 0.000023s : 1: event_method 65.62% : 0.067934s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000008s : 1: graph_reusing 7.71% : 0.007986s : 1: jit_opt_a 0.29% : 0.000305s : 1: jit_opt_after_cconv 0.09% : 0.000097s : 1: jit_opt_b 0.44% : 0.000454s : 1: loop_unroll 0.70% : 0.000728s : 1: mutable_eliminate 1.18% : 0.001218s : 26: opt.transform.jit_opt_a 0.15% : 0.000154s : 4: opt.transform.jit_opt_after_cconv 0.06% : 0.000064s : 4: opt.transform.jit_opt_b 0.02% : 0.000021s : 1: opt.transform.loop_unroll_optimizer 0.02% : 0.000023s : 1: opt.transform.mutable_eliminate 0.04% : 0.000041s : 1: opt.transform.opt_after_jit_grad 0.07% : 0.000070s : 4: opt.transform.symbol_engine_opt 0.48% : 0.000502s : 1: opt_after_jit_grad 0.01% : 0.000011s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000004s : 1: pre_auto_parallel 0.02% : 0.000020s : 1: process_offload_annotation 0.04% : 0.000036s : 1: py_interpret_to_execute 0.02% : 0.000022s : 1: py_interpret_to_execute_after_opt_a 0.06% : 0.000058s : 1: remove_dup_value 0.60% : 0.000624s : 1: renormalize.infer 0.44% : 0.000452s : 1: renormalize.specialize 0.01% : 0.000008s : 1: rewriter_after_jit_bprop_graph 0.17% : 0.000176s : 1: rewriter_after_opt_a 0.06% : 0.000062s : 1: rewriter_before_opt_a 0.12% : 0.000119s : 1: symbol_engine_optimizer 20.62% : 0.021344s : 1: type_inference [WARNING] DEVICE(170620,fffe3ccb5060,python3.9):2026-01-29-17:38:12.658.930 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:59] UpdateDeviceToRemote] UpdateDeviceToRemote is not implemented yet. [WARNING] DEVICE(170620,fffe3ccb5060,python3.9):2026-01-29-17:38:12.658.996 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:80] DetachDevice] DetachDevice is not implemented yet. [WARNING] DEVICE(170620,fffe3ccb5060,python3.9):2026-01-29-17:38:12.659.013 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:80] DetachDevice] DetachDevice is not implemented yet. TotalTime = 0.0463772, [31] [bootstrap]: 0.00030872 [type_inference]: 0.0361342 [event_method]: 1.228e-05 [auto_monad]: 0.00012515 [graph_reusing]: 5.38002e-06 [pre_auto_parallel]: 2.39001e-06 [py_interpret_to_execute]: 2.483e-05 [rewriter_before_opt_a]: 5.391e-05 [expand_dump_flag]: 2.59001e-06 [jit_opt_a]: 0.00645339, [2] [Cycle 1]: 0.00215425, [27] [switch_simplify]: 4.628e-05 [loop_unroll]: 1.726e-05 [a_1]: 0.00047362 [with_stream_mark]: 3.033e-05 [recompute_prepare]: 1.418e-05 [updatestate_depend_eliminate]: 9.94999e-06 [updatestate_assign_eliminate]: 8.75999e-06 [updatestate_loads_eliminate]: 8.03999e-06 [parameter_eliminate]: 1.84e-06 [specialize_transform]: 1.223e-05 [updatestate_useless_node_eliminater]: 1.897e-05 [accelerated_algorithm]: 1.171e-05 [meta_shard_fg_expand]: 3.09001e-06 [get_grad_eliminate_]: 1.125e-05 [merge_forward]: 8.1e-06 [cell_reuse_recompute_pass]: 1.30001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.866e-05 [j_node_and_user_rematch]: 2.117e-05 [meta_fg_expand]: 5.00999e-06 [replace_old_param]: 1.582e-05 [inline_without_move]: 1.123e-05 [renormalize]: 0.00103006 [add_forward_monad_depend]: 7.66999e-06 [auto_monad_grad]: 3.06001e-06 [auto_monad_eliminator]: 5.628e-05 [cse]: 7.255e-05 [replace_applicator]: 2.384e-05 [Cycle 2]: 0.00071137, [27] [switch_simplify]: 1.335e-05 [loop_unroll]: 1.137e-05 [a_1]: 0.00029088 [with_stream_mark]: 1.974e-05 [recompute_prepare]: 1.177e-05 [updatestate_depend_eliminate]: 9.44998e-06 [updatestate_assign_eliminate]: 7.01999e-06 [updatestate_loads_eliminate]: 7.2e-06 [parameter_eliminate]: 1.43002e-06 [specialize_transform]: 1.243e-05 [updatestate_useless_node_eliminater]: 1.814e-05 [accelerated_algorithm]: 1.109e-05 [meta_shard_fg_expand]: 2.49999e-06 [get_grad_eliminate_]: 1.103e-05 [merge_forward]: 8.55001e-06 [cell_reuse_recompute_pass]: 1.69998e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.524e-05 [j_node_and_user_rematch]: 1.954e-05 [meta_fg_expand]: 4.69002e-06 [replace_old_param]: 1.471e-05 [inline_without_move]: 1.185e-05 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 1.74e-06 [auto_monad_grad]: 1.96e-06 [auto_monad_eliminator]: 2.111e-05 [cse]: 3.588e-05 [replace_applicator]: 1.36e-05 [py_interpret_to_execute_after_opt_a]: 1.831e-05 [rewriter_after_opt_a]: 0.00021741 [convert_after_rewriter]: 1.54e-05 [order_py_execute_after_rewriter]: 9.40001e-06 [mutable_eliminate]: 0.00068518 [jit_opt_b]: 9.981e-05, [1] [Cycle 1]: 9.131e-05, [2] [frontend_op_eliminate]: 4.005e-05 [inline_after_opt_a]: 3.688e-05 [cconv]: 3.504e-05 [loop_unroll]: 0.00053548 [jit_opt_after_cconv]: 0.00030255, [1] [Cycle 1]: 0.00029516, [11] [c_1]: 8.29e-05 [parameter_eliminate]: 4.32e-06 [updatestate_depend_eliminate]: 1.488e-05 [updatestate_assign_eliminate]: 8e-06 [updatestate_loads_eliminate]: 7.58001e-06 [cse]: 5.298e-05 [call_graph_tuple_transform]: 3.526e-05 [tuple_list_get_item_eliminator]: 1.379e-05 [none_parameter_eliminate]: 1.79998e-06 [renormalize]: 1.30001e-06 [switch_simplify]: 1.295e-05 [remove_dup_value]: 5.526e-05 [partial_unused_args_eliminate]: 2.54001e-06 [environ_conv]: 9.74e-06 [add_recomputation]: 0.000103 [cse_after_recomputation]: 4.347e-05, [1] [Cycle 1]: 3.674e-05, [1] [cse]: 2.974e-05 [auto_monad_reorder]: 4.013e-05 [get_jit_bprop_graph]: 2.61999e-06 [rewriter_after_jit_bprop_graph]: 6.54001e-06 [opt_after_jit_grad]: 0.00058346 [symbol_engine_optimizer]: 0.00013357, [1] [Cycle 1]: 0.00012617, [6] [build]: 8.37e-06 [elim_shapecalc]: 1.782e-05 [elim_not_effective]: 3.018e-05 [opt_reshape]: 1.407e-05 [fold_const_symbol]: 2.224e-05 [renormalize]: 5.50004e-07 [process_offload_annotation]: 2.034e-05 [validate]: 6.866e-05 Sums bootstrap : 0.000309s : 0.73% type_inference : 0.036134s : 85.92% event_method : 0.000012s : 0.03% auto_monad : 0.000125s : 0.30% graph_reusing : 0.000005s : 0.01% pre_auto_parallel : 0.000002s : 0.01% py_interpret_to_execute : 0.000025s : 0.06% rewriter_before_opt_a : 0.000054s : 0.13% expand_dump_flag : 0.000003s : 0.01% jit_opt_a.switch_simplify : 0.000060s : 0.14% jit_opt_a.loop_unroll : 0.000029s : 0.07% jit_opt_a.a_1 : 0.000764s : 1.82% jit_opt_a.with_stream_mark : 0.000050s : 0.12% jit_opt_a.recompute_prepare : 0.000026s : 0.06% jit_opt_a.updatestate_depend_eliminate : 0.000019s : 0.05% jit_opt_a.updatestate_assign_eliminate : 0.000016s : 0.04% jit_opt_a.updatestate_loads_eliminate : 0.000015s : 0.04% jit_opt_a.parameter_eliminate : 0.000003s : 0.01% jit_opt_a.specialize_transform : 0.000025s : 0.06% jit_opt_a.updatestate_useless_node_eliminater : 0.000037s : 0.09% jit_opt_a.accelerated_algorithm : 0.000023s : 0.05% jit_opt_a.meta_shard_fg_expand : 0.000006s : 0.01% jit_opt_a.get_grad_eliminate_ : 0.000022s : 0.05% jit_opt_a.merge_forward : 0.000017s : 0.04% jit_opt_a.cell_reuse_recompute_pass : 0.000003s : 0.01% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000054s : 0.13% jit_opt_a.j_node_and_user_rematch : 0.000041s : 0.10% jit_opt_a.meta_fg_expand : 0.000010s : 0.02% jit_opt_a.replace_old_param : 0.000031s : 0.07% jit_opt_a.inline_without_move : 0.000023s : 0.05% jit_opt_a.renormalize : 0.001030s : 2.45% jit_opt_a.add_forward_monad_depend : 0.000009s : 0.02% jit_opt_a.auto_monad_grad : 0.000005s : 0.01% jit_opt_a.auto_monad_eliminator : 0.000077s : 0.18% jit_opt_a.cse : 0.000108s : 0.26% jit_opt_a.replace_applicator : 0.000037s : 0.09% py_interpret_to_execute_after_opt_a : 0.000018s : 0.04% rewriter_after_opt_a : 0.000217s : 0.52% convert_after_rewriter : 0.000015s : 0.04% order_py_execute_after_rewriter : 0.000009s : 0.02% mutable_eliminate : 0.000685s : 1.63% jit_opt_b.frontend_op_eliminate : 0.000040s : 0.10% jit_opt_b.inline_after_opt_a : 0.000037s : 0.09% cconv : 0.000035s : 0.08% loop_unroll : 0.000535s : 1.27% jit_opt_after_cconv.c_1 : 0.000083s : 0.20% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.01% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000015s : 0.04% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000008s : 0.02% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000008s : 0.02% jit_opt_after_cconv.cse : 0.000053s : 0.13% jit_opt_after_cconv.call_graph_tuple_transform : 0.000035s : 0.08% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000014s : 0.03% 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 : 0.000013s : 0.03% remove_dup_value : 0.000055s : 0.13% partial_unused_args_eliminate : 0.000003s : 0.01% environ_conv : 0.000010s : 0.02% add_recomputation : 0.000103s : 0.24% cse_after_recomputation.cse : 0.000030s : 0.07% auto_monad_reorder : 0.000040s : 0.10% get_jit_bprop_graph : 0.000003s : 0.01% rewriter_after_jit_bprop_graph : 0.000007s : 0.02% opt_after_jit_grad : 0.000583s : 1.39% symbol_engine_optimizer.build : 0.000008s : 0.02% symbol_engine_optimizer.elim_shapecalc : 0.000018s : 0.04% symbol_engine_optimizer.elim_not_effective : 0.000030s : 0.07% symbol_engine_optimizer.opt_reshape : 0.000014s : 0.03% symbol_engine_optimizer.fold_const_symbol : 0.000022s : 0.05% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% process_offload_annotation : 0.000020s : 0.05% validate : 0.000069s : 0.16% Time group info: ------[substitution.] 0.000197 86 4.47% : 0.000009s : 2: substitution.depend_value_elim 2.09% : 0.000004s : 8: substitution.elim_not_effective 1.65% : 0.000003s : 8: substitution.fold_const_symbol 5.35% : 0.000011s : 9: substitution.graph_param_transform 54.35% : 0.000107s : 1: substitution.inline 3.92% : 0.000008s : 16: substitution.j_node_and_user_rematch 5.84% : 0.000011s : 16: substitution.remove_not_recompute_node 3.19% : 0.000006s : 2: substitution.replace_old_param 9.21% : 0.000018s : 9: substitution.updatestate_pure_node_eliminater 9.92% : 0.000020s : 15: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.036079 2 98.66% : 0.035595s : 1: type_inference.infer 1.34% : 0.000485s : 1: type_inference.specialize ------[replace.] 0.000016 1 100.00% : 0.000016s : 1: replace.inline ------[match.] 0.000106 1 100.00% : 0.000106s : 1: match.inline ------[predicate.] 0.000217 1309 1.29% : 0.000003s : 19: predicate.accumulaten_eliminater 1.59% : 0.000003s : 9: predicate.ad_related_special_op_eliminate 1.14% : 0.000002s : 19: predicate.addn_check_dump 1.30% : 0.000003s : 19: predicate.addn_zero_filter 1.82% : 0.000004s : 19: predicate.arithmetic_simplify 1.27% : 0.000003s : 19: predicate.cast_eliminate 0.84% : 0.000002s : 9: predicate.check_bprop_eliminate 1.19% : 0.000003s : 19: predicate.compare_switch_simplify 1.33% : 0.000003s : 19: predicate.depend_value_elim 1.21% : 0.000003s : 19: predicate.dict_get_item_const_eliminator 1.37% : 0.000003s : 19: predicate.dict_get_item_eliminator 1.25% : 0.000003s : 19: predicate.dict_set_item_eliminator 1.31% : 0.000003s : 9: predicate.dumpgradient_eliminate 0.46% : 0.000001s : 9: predicate.elim_not_effective 0.97% : 0.000002s : 9: predicate.elim_shapecalc_of_broadcastargs 1.21% : 0.000003s : 19: predicate.environ_add_const_eliminate 1.11% : 0.000002s : 19: predicate.environ_get_add_eliminate 1.21% : 0.000003s : 19: predicate.environ_get_depend_swap 1.17% : 0.000003s : 19: predicate.environ_get_eliminate 1.12% : 0.000002s : 19: predicate.environ_get_set_eliminate 0.33% : 0.000001s : 9: predicate.fold_const_symbol 1.60% : 0.000003s : 18: predicate.get_grad_eliminate 0.36% : 0.000001s : 9: predicate.graph_param_transform 4.78% : 0.000010s : 38: predicate.inline 1.55% : 0.000003s : 18: predicate.inline_without_move 0.58% : 0.000001s : 18: predicate.j_node_and_user_rematch 1.59% : 0.000003s : 18: predicate.less_batch_normalization 1.34% : 0.000003s : 19: predicate.list_to_tuple_eliminator_ 2.00% : 0.000004s : 28: predicate.load_eliminater 1.87% : 0.000004s : 9: predicate.loop_unroll_after_grad 1.79% : 0.000004s : 23: predicate.loop_unroll_before_grad 2.13% : 0.000005s : 28: predicate.make_slice_get_slice_eliminator 1.18% : 0.000003s : 19: predicate.merge_addn 1.10% : 0.000002s : 19: predicate.minmaximum_grad 1.76% : 0.000004s : 9: predicate.mutable_eliminate 0.82% : 0.000002s : 9: predicate.opt_reshape 2.38% : 0.000005s : 28: predicate.partial_eliminate 1.16% : 0.000003s : 19: predicate.print_const_string_wrapper 1.63% : 0.000004s : 19: predicate.reduce_eliminate 1.20% : 0.000003s : 19: predicate.redundant_stop_gradient_eliminater 0.84% : 0.000002s : 18: predicate.remove_not_recompute_node 1.77% : 0.000004s : 37: predicate.replace_applicator 0.85% : 0.000002s : 18: predicate.replace_old_param 0.42% : 0.000001s : 9: predicate.reset_defer_inline 1.33% : 0.000003s : 19: predicate.reshape_eliminate 1.19% : 0.000003s : 19: predicate.row_tensor_add_zeros_like 1.08% : 0.000002s : 9: predicate.row_tensor_eliminate 1.22% : 0.000003s : 19: predicate.same_eliminate 0.72% : 0.000002s : 18: predicate.set_cell_output_no_recompute 1.67% : 0.000004s : 18: predicate.special_op_eliminate 1.54% : 0.000003s : 18: predicate.specialize_transform 1.42% : 0.000003s : 19: predicate.split_environ_get_set_with_tuple_value 1.27% : 0.000003s : 19: predicate.stack_unstack_eliminate 0.80% : 0.000002s : 9: predicate.switch_call_monad_eliminater 1.51% : 0.000003s : 20: predicate.switch_defer_inline 1.34% : 0.000003s : 20: predicate.switch_layer_defer_inline 4.54% : 0.000010s : 52: predicate.switch_simplify 1.25% : 0.000003s : 19: predicate.tile_eliminate 1.17% : 0.000003s : 19: predicate.transpose_eliminate 1.45% : 0.000003s : 19: predicate.tuple_list_convert_item_index_to_positive 1.30% : 0.000003s : 19: predicate.tuple_list_get_item_depend_reorder 3.81% : 0.000008s : 37: predicate.tuple_list_get_item_eliminator 1.56% : 0.000003s : 19: predicate.tuple_list_set_item_eliminator 1.29% : 0.000003s : 19: predicate.tuple_to_list_eliminator_ 1.97% : 0.000004s : 28: predicate.updatestate_pure_node_eliminater 3.89% : 0.000008s : 46: predicate.updatestate_useless_node_eliminater 1.72% : 0.000004s : 19: predicate.value_based_eliminate 0.73% : 0.000002s : 9: predicate.virtual_view_grad_eliminate 1.04% : 0.000002s : 9: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000267 4 8.24% : 0.000022s : 1: func_graph_cloner_run.FuncGraphClonerGraph 91.76% : 0.000245s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.048763 73 0.22% : 0.000106s : 1: add_recomputation 0.27% : 0.000130s : 1: auto_monad 0.09% : 0.000043s : 1: auto_monad_reorder 0.68% : 0.000333s : 1: bootstrap 0.08% : 0.000038s : 1: cconv 0.04% : 0.000019s : 1: convert_after_rewriter 0.09% : 0.000046s : 1: cse_after_recomputation 0.03% : 0.000012s : 1: environ_conv 0.03% : 0.000017s : 1: event_method 0.01% : 0.000005s : 1: expand_dump_flag 0.01% : 0.000005s : 1: get_jit_bprop_graph 0.02% : 0.000008s : 1: graph_reusing 13.24% : 0.006457s : 1: jit_opt_a 0.63% : 0.000306s : 1: jit_opt_after_cconv 0.21% : 0.000103s : 1: jit_opt_b 1.12% : 0.000544s : 1: loop_unroll 1.42% : 0.000694s : 1: mutable_eliminate 2.33% : 0.001137s : 26: opt.transform.jit_opt_a 0.29% : 0.000141s : 4: opt.transform.jit_opt_after_cconv 0.14% : 0.000068s : 4: opt.transform.jit_opt_b 0.05% : 0.000025s : 1: opt.transform.loop_unroll_optimizer 0.06% : 0.000029s : 1: opt.transform.mutable_eliminate 0.10% : 0.000050s : 1: opt.transform.opt_after_jit_grad 0.16% : 0.000080s : 4: opt.transform.symbol_engine_opt 1.22% : 0.000593s : 1: opt_after_jit_grad 0.02% : 0.000012s : 1: order_py_execute_after_rewriter 0.01% : 0.000005s : 1: partial_unused_args_eliminate 0.01% : 0.000004s : 1: pre_auto_parallel 0.05% : 0.000023s : 1: process_offload_annotation 0.06% : 0.000028s : 1: py_interpret_to_execute 0.04% : 0.000021s : 1: py_interpret_to_execute_after_opt_a 0.12% : 0.000058s : 1: remove_dup_value 1.25% : 0.000609s : 1: renormalize.infer 0.84% : 0.000412s : 1: renormalize.specialize 0.08% : 0.000039s : 1: rewriter_after_jit_bprop_graph 0.46% : 0.000224s : 1: rewriter_after_opt_a 0.12% : 0.000057s : 1: rewriter_before_opt_a 0.28% : 0.000136s : 1: symbol_engine_optimizer 74.13% : 0.036149s : 1: type_inference [WARNING] DEVICE(170620,fffe3ccb5060,python3.9):2026-01-29-17:38:12.872.336 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:59] UpdateDeviceToRemote] UpdateDeviceToRemote is not implemented yet. [WARNING] DEVICE(170620,fffe3ccb5060,python3.9):2026-01-29-17:38:12.872.414 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:80] DetachDevice] DetachDevice is not implemented yet. [WARNING] DEVICE(170620,fffe3ccb5060,python3.9):2026-01-29-17:38:12.872.433 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:80] DetachDevice] DetachDevice is not implemented yet. TotalTime = 0.0765935, [31] [bootstrap]: 0.00068073 [type_inference]: 0.00727249 [event_method]: 1.531e-05 [auto_monad]: 0.00012591 [graph_reusing]: 5.62999e-06 [pre_auto_parallel]: 2.09999e-06 [py_interpret_to_execute]: 2.195e-05 [rewriter_before_opt_a]: 5.364e-05 [expand_dump_flag]: 2.51e-06 [jit_opt_a]: 0.0652806, [2] [Cycle 1]: 0.0610268, [27] [switch_simplify]: 4.243e-05 [loop_unroll]: 1.75e-05 [a_1]: 0.00048912 [with_stream_mark]: 3.046e-05 [recompute_prepare]: 1.435e-05 [updatestate_depend_eliminate]: 9.65002e-06 [updatestate_assign_eliminate]: 8.42998e-06 [updatestate_loads_eliminate]: 7.88999e-06 [parameter_eliminate]: 2.17001e-06 [specialize_transform]: 1.238e-05 [updatestate_useless_node_eliminater]: 1.832e-05 [accelerated_algorithm]: 1.15e-05 [meta_shard_fg_expand]: 3.33e-06 [get_grad_eliminate_]: 1.092e-05 [merge_forward]: 7.83999e-06 [cell_reuse_recompute_pass]: 1.37e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.753e-05 [j_node_and_user_rematch]: 2.079e-05 [meta_fg_expand]: 4.92999e-06 [replace_old_param]: 1.515e-05 [inline_without_move]: 1.092e-05 [renormalize]: 0.0598546 [add_forward_monad_depend]: 1.196e-05 [auto_monad_grad]: 3.06999e-06 [auto_monad_eliminator]: 3.883e-05 [cse]: 9.638e-05 [replace_applicator]: 3.264e-05 [Cycle 2]: 0.00075765, [27] [switch_simplify]: 1.284e-05 [loop_unroll]: 1.191e-05 [a_1]: 0.00030389 [with_stream_mark]: 2.599e-05 [recompute_prepare]: 1.316e-05 [updatestate_depend_eliminate]: 1.05e-05 [updatestate_assign_eliminate]: 7.93001e-06 [updatestate_loads_eliminate]: 7.85e-06 [parameter_eliminate]: 2.04999e-06 [specialize_transform]: 1.21e-05 [updatestate_useless_node_eliminater]: 1.884e-05 [accelerated_algorithm]: 1.133e-05 [meta_shard_fg_expand]: 3.21999e-06 [get_grad_eliminate_]: 1.184e-05 [merge_forward]: 8.87999e-06 [cell_reuse_recompute_pass]: 3.32002e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.847e-05 [j_node_and_user_rematch]: 2.144e-05 [meta_fg_expand]: 4.78001e-06 [replace_old_param]: 1.558e-05 [inline_without_move]: 1.111e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 2.58e-06 [auto_monad_grad]: 1.81998e-06 [auto_monad_eliminator]: 2.143e-05 [cse]: 3.723e-05 [replace_applicator]: 1.452e-05 [py_interpret_to_execute_after_opt_a]: 1.907e-05 [rewriter_after_opt_a]: 0.00018679 [convert_after_rewriter]: 1.416e-05 [order_py_execute_after_rewriter]: 9.43002e-06 [mutable_eliminate]: 0.00077009 [jit_opt_b]: 9.025e-05, [1] [Cycle 1]: 8.162e-05, [2] [frontend_op_eliminate]: 3.507e-05 [inline_after_opt_a]: 3.399e-05 [cconv]: 3.619e-05 [loop_unroll]: 0.00046223 [jit_opt_after_cconv]: 0.00028999, [1] [Cycle 1]: 0.00028223, [11] [c_1]: 7.649e-05 [parameter_eliminate]: 4.35e-06 [updatestate_depend_eliminate]: 1.69e-05 [updatestate_assign_eliminate]: 7.85e-06 [updatestate_loads_eliminate]: 7.53999e-06 [cse]: 5.235e-05 [call_graph_tuple_transform]: 3.3e-05 [tuple_list_get_item_eliminator]: 1.249e-05 [none_parameter_eliminate]: 1.71998e-06 [renormalize]: 7.89994e-07 [switch_simplify]: 1.162e-05 [remove_dup_value]: 5.918e-05 [partial_unused_args_eliminate]: 2.59999e-06 [environ_conv]: 1.021e-05 [add_recomputation]: 0.00010434 [cse_after_recomputation]: 4.509e-05, [1] [Cycle 1]: 3.802e-05, [1] [cse]: 2.901e-05 [auto_monad_reorder]: 3.905e-05 [get_jit_bprop_graph]: 2.43e-06 [rewriter_after_jit_bprop_graph]: 7.58999e-06 [opt_after_jit_grad]: 0.00053619 [symbol_engine_optimizer]: 0.0001253, [1] [Cycle 1]: 0.00011816, [6] [build]: 9.02e-06 [elim_shapecalc]: 1.526e-05 [elim_not_effective]: 2.804e-05 [opt_reshape]: 1.261e-05 [fold_const_symbol]: 2.115e-05 [renormalize]: 6.00005e-07 [process_offload_annotation]: 1.914e-05 [validate]: 6.631e-05 Sums bootstrap : 0.000681s : 0.94% type_inference : 0.007272s : 10.05% event_method : 0.000015s : 0.02% auto_monad : 0.000126s : 0.17% graph_reusing : 0.000006s : 0.01% pre_auto_parallel : 0.000002s : 0.00% py_interpret_to_execute : 0.000022s : 0.03% rewriter_before_opt_a : 0.000054s : 0.07% expand_dump_flag : 0.000003s : 0.00% jit_opt_a.switch_simplify : 0.000055s : 0.08% jit_opt_a.loop_unroll : 0.000029s : 0.04% jit_opt_a.a_1 : 0.000793s : 1.10% jit_opt_a.with_stream_mark : 0.000056s : 0.08% jit_opt_a.recompute_prepare : 0.000028s : 0.04% jit_opt_a.updatestate_depend_eliminate : 0.000020s : 0.03% jit_opt_a.updatestate_assign_eliminate : 0.000016s : 0.02% jit_opt_a.updatestate_loads_eliminate : 0.000016s : 0.02% jit_opt_a.parameter_eliminate : 0.000004s : 0.01% jit_opt_a.specialize_transform : 0.000024s : 0.03% jit_opt_a.updatestate_useless_node_eliminater : 0.000037s : 0.05% jit_opt_a.accelerated_algorithm : 0.000023s : 0.03% jit_opt_a.meta_shard_fg_expand : 0.000007s : 0.01% jit_opt_a.get_grad_eliminate_ : 0.000023s : 0.03% jit_opt_a.merge_forward : 0.000017s : 0.02% jit_opt_a.cell_reuse_recompute_pass : 0.000005s : 0.01% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000056s : 0.08% jit_opt_a.j_node_and_user_rematch : 0.000042s : 0.06% jit_opt_a.meta_fg_expand : 0.000010s : 0.01% jit_opt_a.replace_old_param : 0.000031s : 0.04% jit_opt_a.inline_without_move : 0.000022s : 0.03% jit_opt_a.renormalize : 0.059855s : 82.71% jit_opt_a.add_forward_monad_depend : 0.000015s : 0.02% jit_opt_a.auto_monad_grad : 0.000005s : 0.01% jit_opt_a.auto_monad_eliminator : 0.000060s : 0.08% jit_opt_a.cse : 0.000134s : 0.18% jit_opt_a.replace_applicator : 0.000047s : 0.07% py_interpret_to_execute_after_opt_a : 0.000019s : 0.03% rewriter_after_opt_a : 0.000187s : 0.26% convert_after_rewriter : 0.000014s : 0.02% order_py_execute_after_rewriter : 0.000009s : 0.01% mutable_eliminate : 0.000770s : 1.06% jit_opt_b.frontend_op_eliminate : 0.000035s : 0.05% jit_opt_b.inline_after_opt_a : 0.000034s : 0.05% cconv : 0.000036s : 0.05% loop_unroll : 0.000462s : 0.64% jit_opt_after_cconv.c_1 : 0.000076s : 0.11% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.01% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000017s : 0.02% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000008s : 0.01% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000008s : 0.01% jit_opt_after_cconv.cse : 0.000052s : 0.07% jit_opt_after_cconv.call_graph_tuple_transform : 0.000033s : 0.05% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000012s : 0.02% 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 : 0.000012s : 0.02% remove_dup_value : 0.000059s : 0.08% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000010s : 0.01% add_recomputation : 0.000104s : 0.14% cse_after_recomputation.cse : 0.000029s : 0.04% auto_monad_reorder : 0.000039s : 0.05% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.01% opt_after_jit_grad : 0.000536s : 0.74% symbol_engine_optimizer.build : 0.000009s : 0.01% symbol_engine_optimizer.elim_shapecalc : 0.000015s : 0.02% symbol_engine_optimizer.elim_not_effective : 0.000028s : 0.04% symbol_engine_optimizer.opt_reshape : 0.000013s : 0.02% symbol_engine_optimizer.fold_const_symbol : 0.000021s : 0.03% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% process_offload_annotation : 0.000019s : 0.03% validate : 0.000066s : 0.09% Time group info: ------[substitution.] 0.000215 86 5.95% : 0.000013s : 2: substitution.depend_value_elim 1.97% : 0.000004s : 8: substitution.elim_not_effective 1.44% : 0.000003s : 8: substitution.fold_const_symbol 4.53% : 0.000010s : 9: substitution.graph_param_transform 55.45% : 0.000119s : 1: substitution.inline 3.71% : 0.000008s : 16: substitution.j_node_and_user_rematch 5.66% : 0.000012s : 16: substitution.remove_not_recompute_node 3.14% : 0.000007s : 2: substitution.replace_old_param 8.80% : 0.000019s : 9: substitution.updatestate_pure_node_eliminater 9.36% : 0.000020s : 15: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.007219 2 93.16% : 0.006725s : 1: type_inference.infer 6.84% : 0.000494s : 1: type_inference.specialize ------[replace.] 0.000017 1 100.00% : 0.000017s : 1: replace.inline ------[match.] 0.000118 1 100.00% : 0.000118s : 1: match.inline ------[predicate.] 0.000217 1309 1.18% : 0.000003s : 19: predicate.accumulaten_eliminater 1.52% : 0.000003s : 9: predicate.ad_related_special_op_eliminate 1.51% : 0.000003s : 19: predicate.addn_check_dump 1.44% : 0.000003s : 19: predicate.addn_zero_filter 1.90% : 0.000004s : 19: predicate.arithmetic_simplify 1.56% : 0.000003s : 19: predicate.cast_eliminate 0.67% : 0.000001s : 9: predicate.check_bprop_eliminate 1.19% : 0.000003s : 19: predicate.compare_switch_simplify 1.25% : 0.000003s : 19: predicate.depend_value_elim 1.21% : 0.000003s : 19: predicate.dict_get_item_const_eliminator 1.28% : 0.000003s : 19: predicate.dict_get_item_eliminator 1.27% : 0.000003s : 19: predicate.dict_set_item_eliminator 1.19% : 0.000003s : 9: predicate.dumpgradient_eliminate 0.49% : 0.000001s : 9: predicate.elim_not_effective 0.88% : 0.000002s : 9: predicate.elim_shapecalc_of_broadcastargs 1.43% : 0.000003s : 19: predicate.environ_add_const_eliminate 1.15% : 0.000002s : 19: predicate.environ_get_add_eliminate 1.12% : 0.000002s : 19: predicate.environ_get_depend_swap 1.35% : 0.000003s : 19: predicate.environ_get_eliminate 1.18% : 0.000003s : 19: predicate.environ_get_set_eliminate 0.33% : 0.000001s : 9: predicate.fold_const_symbol 1.47% : 0.000003s : 18: predicate.get_grad_eliminate 0.40% : 0.000001s : 9: predicate.graph_param_transform 5.04% : 0.000011s : 38: predicate.inline 1.48% : 0.000003s : 18: predicate.inline_without_move 0.58% : 0.000001s : 18: predicate.j_node_and_user_rematch 1.58% : 0.000003s : 18: predicate.less_batch_normalization 1.30% : 0.000003s : 19: predicate.list_to_tuple_eliminator_ 1.95% : 0.000004s : 28: predicate.load_eliminater 1.38% : 0.000003s : 9: predicate.loop_unroll_after_grad 1.87% : 0.000004s : 23: predicate.loop_unroll_before_grad 2.21% : 0.000005s : 28: predicate.make_slice_get_slice_eliminator 1.18% : 0.000003s : 19: predicate.merge_addn 1.16% : 0.000003s : 19: predicate.minmaximum_grad 2.25% : 0.000005s : 9: predicate.mutable_eliminate 0.76% : 0.000002s : 9: predicate.opt_reshape 2.25% : 0.000005s : 28: predicate.partial_eliminate 1.38% : 0.000003s : 19: predicate.print_const_string_wrapper 1.71% : 0.000004s : 19: predicate.reduce_eliminate 1.29% : 0.000003s : 19: predicate.redundant_stop_gradient_eliminater 0.91% : 0.000002s : 18: predicate.remove_not_recompute_node 1.73% : 0.000004s : 37: predicate.replace_applicator 0.75% : 0.000002s : 18: predicate.replace_old_param 0.38% : 0.000001s : 9: predicate.reset_defer_inline 1.22% : 0.000003s : 19: predicate.reshape_eliminate 1.23% : 0.000003s : 19: predicate.row_tensor_add_zeros_like 0.91% : 0.000002s : 9: predicate.row_tensor_eliminate 1.30% : 0.000003s : 19: predicate.same_eliminate 0.72% : 0.000002s : 18: predicate.set_cell_output_no_recompute 1.37% : 0.000003s : 18: predicate.special_op_eliminate 1.50% : 0.000003s : 18: predicate.specialize_transform 1.49% : 0.000003s : 19: predicate.split_environ_get_set_with_tuple_value 1.32% : 0.000003s : 19: predicate.stack_unstack_eliminate 0.69% : 0.000002s : 9: predicate.switch_call_monad_eliminater 1.42% : 0.000003s : 20: predicate.switch_defer_inline 1.38% : 0.000003s : 20: predicate.switch_layer_defer_inline 4.49% : 0.000010s : 52: predicate.switch_simplify 1.20% : 0.000003s : 19: predicate.tile_eliminate 1.28% : 0.000003s : 19: predicate.transpose_eliminate 1.61% : 0.000003s : 19: predicate.tuple_list_convert_item_index_to_positive 1.36% : 0.000003s : 19: predicate.tuple_list_get_item_depend_reorder 3.61% : 0.000008s : 37: predicate.tuple_list_get_item_eliminator 1.74% : 0.000004s : 19: predicate.tuple_list_set_item_eliminator 1.30% : 0.000003s : 19: predicate.tuple_to_list_eliminator_ 1.91% : 0.000004s : 28: predicate.updatestate_pure_node_eliminater 3.61% : 0.000008s : 46: predicate.updatestate_useless_node_eliminater 1.78% : 0.000004s : 19: predicate.value_based_eliminate 0.60% : 0.000001s : 9: predicate.virtual_view_grad_eliminate 0.83% : 0.000002s : 9: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000327 4 7.14% : 0.000023s : 1: func_graph_cloner_run.FuncGraphClonerGraph 92.86% : 0.000303s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.137816 73 0.08% : 0.000108s : 1: add_recomputation 0.09% : 0.000130s : 1: auto_monad 0.03% : 0.000042s : 1: auto_monad_reorder 0.52% : 0.000716s : 1: bootstrap 0.03% : 0.000039s : 1: cconv 0.01% : 0.000017s : 1: convert_after_rewriter 0.03% : 0.000047s : 1: cse_after_recomputation 0.01% : 0.000013s : 1: environ_conv 0.01% : 0.000020s : 1: event_method 0.00% : 0.000005s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000008s : 1: graph_reusing 47.37% : 0.065285s : 1: jit_opt_a 0.21% : 0.000293s : 1: jit_opt_after_cconv 0.07% : 0.000094s : 1: jit_opt_b 0.34% : 0.000471s : 1: loop_unroll 0.57% : 0.000779s : 1: mutable_eliminate 0.85% : 0.001175s : 26: opt.transform.jit_opt_a 0.09% : 0.000129s : 4: opt.transform.jit_opt_after_cconv 0.04% : 0.000062s : 4: opt.transform.jit_opt_b 0.02% : 0.000022s : 1: opt.transform.loop_unroll_optimizer 0.02% : 0.000028s : 1: opt.transform.mutable_eliminate 0.03% : 0.000045s : 1: opt.transform.opt_after_jit_grad 0.05% : 0.000073s : 4: opt.transform.symbol_engine_opt 0.39% : 0.000544s : 1: opt_after_jit_grad 0.01% : 0.000012s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000004s : 1: pre_auto_parallel 0.02% : 0.000022s : 1: process_offload_annotation 0.02% : 0.000024s : 1: py_interpret_to_execute 0.02% : 0.000022s : 1: py_interpret_to_execute_after_opt_a 0.05% : 0.000063s : 1: remove_dup_value 43.06% : 0.059347s : 1: renormalize.infer 0.36% : 0.000495s : 1: renormalize.specialize 0.01% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.14% : 0.000191s : 1: rewriter_after_opt_a 0.04% : 0.000057s : 1: rewriter_before_opt_a 0.09% : 0.000128s : 1: symbol_engine_optimizer 5.29% : 0.007287s : 1: type_inference [WARNING] DEVICE(170620,fffe3ccb5060,python3.9):2026-01-29-17:38:13.371.547 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:59] UpdateDeviceToRemote] UpdateDeviceToRemote is not implemented yet. [WARNING] DEVICE(170620,fffe3ccb5060,python3.9):2026-01-29-17:38:13.371.637 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:80] DetachDevice] DetachDevice is not implemented yet. [WARNING] DEVICE(170620,fffe3ccb5060,python3.9):2026-01-29-17:38:13.371.659 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:80] DetachDevice] DetachDevice is not implemented yet. . [hook] pytest_runtest_teardown:test_hiar_addr_detach tests/st/hyper_offload/memory_ops/test_hyper_offload_ops.py::test_hiar_addr_detach,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 81.70s (0:01:21) ===================