[WARNING] ME(169861:281473404743472,MainProcess):2026-01-29-17:37:30.853.052 [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(169861:281473404743472,MainProcess):2026-01-29-17:37:30.854.078 [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_004/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 1 item test_hyper_offload_ops.py TotalTime = 0.376736, [31] [bootstrap]: 0.00057293 [type_inference]: 0.361098 [event_method]: 1.445e-05 [auto_monad]: 0.00013248 [graph_reusing]: 5.57999e-06 [pre_auto_parallel]: 1.304e-05 [py_interpret_to_execute]: 3.504e-05 [rewriter_before_opt_a]: 5.627e-05 [expand_dump_flag]: 2.86e-06 [jit_opt_a]: 0.0111123, [2] [Cycle 1]: 0.00170845, [27] [switch_simplify]: 5.401e-05 [loop_unroll]: 1.464e-05 [a_1]: 0.00037192 [with_stream_mark]: 3.05e-05 [recompute_prepare]: 1.081e-05 [updatestate_depend_eliminate]: 7.26001e-06 [updatestate_assign_eliminate]: 6.68e-06 [updatestate_loads_eliminate]: 5.38002e-06 [parameter_eliminate]: 1.92001e-06 [specialize_transform]: 8.60001e-06 [updatestate_useless_node_eliminater]: 1.124e-05 [accelerated_algorithm]: 8.58001e-06 [meta_shard_fg_expand]: 2.32999e-06 [get_grad_eliminate_]: 1.101e-05 [merge_forward]: 5.21998e-06 [cell_reuse_recompute_pass]: 1.32999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.32e-05 [j_node_and_user_rematch]: 1.49e-05 [meta_fg_expand]: 3.21001e-06 [replace_old_param]: 1.324e-05 [inline_without_move]: 7.84002e-06 [renormalize]: 0.00075712 [add_forward_monad_depend]: 1.154e-05 [auto_monad_grad]: 2.45002e-06 [auto_monad_eliminator]: 2.545e-05 [cse]: 5.308e-05 [replace_applicator]: 2.05e-05 [Cycle 2]: 0.00053854, [27] [switch_simplify]: 8.79998e-06 [loop_unroll]: 7.46001e-06 [a_1]: 0.00016871 [with_stream_mark]: 1.658e-05 [recompute_prepare]: 9.60001e-06 [updatestate_depend_eliminate]: 5.51e-06 [updatestate_assign_eliminate]: 5.13002e-06 [updatestate_loads_eliminate]: 4.82e-06 [parameter_eliminate]: 1.99999e-06 [specialize_transform]: 8.63001e-06 [updatestate_useless_node_eliminater]: 1.067e-05 [accelerated_algorithm]: 8.85001e-06 [meta_shard_fg_expand]: 3.08998e-06 [get_grad_eliminate_]: 8e-06 [merge_forward]: 6.02001e-06 [cell_reuse_recompute_pass]: 2.45002e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.991e-05 [j_node_and_user_rematch]: 1.254e-05 [meta_fg_expand]: 2.56998e-06 [replace_old_param]: 1.242e-05 [inline_without_move]: 7.46999e-06 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 2.11e-06 [auto_monad_grad]: 1.54998e-06 [auto_monad_eliminator]: 1.574e-05 [cse]: 4.486e-05 [replace_applicator]: 1.059e-05 [py_interpret_to_execute_after_opt_a]: 3.099e-05 [rewriter_after_opt_a]: 0.00023239 [convert_after_rewriter]: 1.579e-05 [order_py_execute_after_rewriter]: 7.33999e-06 [mutable_eliminate]: 0.0008283 [jit_opt_b]: 7.748e-05, [1] [Cycle 1]: 6.745e-05, [2] [frontend_op_eliminate]: 2.786e-05 [inline_after_opt_a]: 2.448e-05 [cconv]: 3.786e-05 [loop_unroll]: 0.00052143 [jit_opt_after_cconv]: 0.00025441, [1] [Cycle 1]: 0.00024533, [11] [c_1]: 5.557e-05 [parameter_eliminate]: 6.16e-06 [updatestate_depend_eliminate]: 1.378e-05 [updatestate_assign_eliminate]: 5.77001e-06 [updatestate_loads_eliminate]: 4.80999e-06 [cse]: 4.507e-05 [call_graph_tuple_transform]: 3.825e-05 [tuple_list_get_item_eliminator]: 8.58001e-06 [none_parameter_eliminate]: 1.76e-06 [renormalize]: 6.39993e-07 [switch_simplify]: 8.89998e-06 [remove_dup_value]: 1.877e-05 [partial_unused_args_eliminate]: 2.54001e-06 [environ_conv]: 2.038e-05 [add_recomputation]: 8.179e-05 [cse_after_recomputation]: 3.239e-05, [1] [Cycle 1]: 2.557e-05, [1] [cse]: 1.722e-05 [auto_monad_reorder]: 3.954e-05 [get_jit_bprop_graph]: 3.66999e-06 [rewriter_after_jit_bprop_graph]: 5.46e-06 [opt_after_jit_grad]: 0.00055766 [symbol_engine_optimizer]: 0.00010046, [1] [Cycle 1]: 9.245e-05, [6] [build]: 6.34001e-06 [elim_shapecalc]: 1.193e-05 [elim_not_effective]: 2.036e-05 [opt_reshape]: 8.67e-06 [fold_const_symbol]: 1.393e-05 [renormalize]: 6.10016e-07 [process_offload_annotation]: 3.042e-05 [validate]: 7.383e-05 Sums bootstrap : 0.000573s : 0.16% type_inference : 0.361098s : 98.49% event_method : 0.000014s : 0.00% auto_monad : 0.000132s : 0.04% graph_reusing : 0.000006s : 0.00% pre_auto_parallel : 0.000013s : 0.00% py_interpret_to_execute : 0.000035s : 0.01% rewriter_before_opt_a : 0.000056s : 0.02% expand_dump_flag : 0.000003s : 0.00% jit_opt_a.switch_simplify : 0.000063s : 0.02% jit_opt_a.loop_unroll : 0.000022s : 0.01% jit_opt_a.a_1 : 0.000541s : 0.15% jit_opt_a.with_stream_mark : 0.000047s : 0.01% jit_opt_a.recompute_prepare : 0.000020s : 0.01% 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 : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000017s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000022s : 0.01% jit_opt_a.accelerated_algorithm : 0.000017s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000019s : 0.01% jit_opt_a.merge_forward : 0.000011s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000043s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000027s : 0.01% jit_opt_a.meta_fg_expand : 0.000006s : 0.00% jit_opt_a.replace_old_param : 0.000026s : 0.01% jit_opt_a.inline_without_move : 0.000015s : 0.00% jit_opt_a.renormalize : 0.000757s : 0.21% jit_opt_a.add_forward_monad_depend : 0.000014s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000041s : 0.01% jit_opt_a.cse : 0.000098s : 0.03% jit_opt_a.replace_applicator : 0.000031s : 0.01% py_interpret_to_execute_after_opt_a : 0.000031s : 0.01% rewriter_after_opt_a : 0.000232s : 0.06% convert_after_rewriter : 0.000016s : 0.00% order_py_execute_after_rewriter : 0.000007s : 0.00% mutable_eliminate : 0.000828s : 0.23% jit_opt_b.frontend_op_eliminate : 0.000028s : 0.01% jit_opt_b.inline_after_opt_a : 0.000024s : 0.01% cconv : 0.000038s : 0.01% loop_unroll : 0.000521s : 0.14% jit_opt_after_cconv.c_1 : 0.000056s : 0.02% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000014s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.cse : 0.000045s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000038s : 0.01% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000009s : 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 : 0.000009s : 0.00% remove_dup_value : 0.000019s : 0.01% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000020s : 0.01% add_recomputation : 0.000082s : 0.02% cse_after_recomputation.cse : 0.000017s : 0.00% auto_monad_reorder : 0.000040s : 0.01% get_jit_bprop_graph : 0.000004s : 0.00% rewriter_after_jit_bprop_graph : 0.000005s : 0.00% opt_after_jit_grad : 0.000558s : 0.15% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000012s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000020s : 0.01% symbol_engine_optimizer.opt_reshape : 0.000009s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000014s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% process_offload_annotation : 0.000030s : 0.01% validate : 0.000074s : 0.02% Time group info: ------[substitution.] 0.000196 42 5.10% : 0.000010s : 2: substitution.depend_value_elim 1.42% : 0.000003s : 4: substitution.elim_not_effective 1.22% : 0.000002s : 4: substitution.fold_const_symbol 11.08% : 0.000022s : 5: substitution.graph_param_transform 57.88% : 0.000114s : 1: substitution.inline 2.89% : 0.000006s : 8: substitution.j_node_and_user_rematch 3.72% : 0.000007s : 8: substitution.remove_not_recompute_node 3.99% : 0.000008s : 2: substitution.replace_old_param 7.33% : 0.000014s : 3: substitution.updatestate_pure_node_eliminater 5.37% : 0.000011s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.361009 2 86.51% : 0.312296s : 1: type_inference.infer 13.49% : 0.048713s : 1: type_inference.specialize ------[replace.] 0.000018 1 100.00% : 0.000018s : 1: replace.inline ------[match.] 0.000113 1 100.00% : 0.000113s : 1: match.inline ------[predicate.] 0.000143 753 1.14% : 0.000002s : 11: predicate.accumulaten_eliminater 1.51% : 0.000002s : 5: predicate.ad_related_special_op_eliminate 0.95% : 0.000001s : 11: predicate.addn_check_dump 1.04% : 0.000001s : 11: predicate.addn_zero_filter 2.01% : 0.000003s : 11: predicate.arithmetic_simplify 1.19% : 0.000002s : 11: predicate.cast_eliminate 0.57% : 0.000001s : 5: predicate.check_bprop_eliminate 1.04% : 0.000001s : 11: predicate.compare_switch_simplify 1.59% : 0.000002s : 11: predicate.depend_value_elim 1.39% : 0.000002s : 11: predicate.dict_get_item_const_eliminator 1.33% : 0.000002s : 11: predicate.dict_get_item_eliminator 1.08% : 0.000002s : 11: predicate.dict_set_item_eliminator 1.36% : 0.000002s : 5: predicate.dumpgradient_eliminate 0.36% : 0.000001s : 5: predicate.elim_not_effective 0.74% : 0.000001s : 5: predicate.elim_shapecalc_of_broadcastargs 1.08% : 0.000002s : 11: predicate.environ_add_const_eliminate 0.95% : 0.000001s : 11: predicate.environ_get_add_eliminate 1.03% : 0.000001s : 11: predicate.environ_get_depend_swap 1.06% : 0.000002s : 11: predicate.environ_get_eliminate 1.04% : 0.000001s : 11: predicate.environ_get_set_eliminate 0.30% : 0.000000s : 5: predicate.fold_const_symbol 1.35% : 0.000002s : 10: predicate.get_grad_eliminate 0.37% : 0.000001s : 5: predicate.graph_param_transform 5.25% : 0.000007s : 22: predicate.inline 1.30% : 0.000002s : 10: predicate.inline_without_move 0.54% : 0.000001s : 10: predicate.j_node_and_user_rematch 2.07% : 0.000003s : 10: predicate.less_batch_normalization 1.38% : 0.000002s : 11: predicate.list_to_tuple_eliminator_ 1.86% : 0.000003s : 16: predicate.load_eliminater 2.26% : 0.000003s : 5: predicate.loop_unroll_after_grad 1.94% : 0.000003s : 15: predicate.loop_unroll_before_grad 2.21% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.03% : 0.000001s : 11: predicate.merge_addn 0.97% : 0.000001s : 11: predicate.minmaximum_grad 2.94% : 0.000004s : 5: predicate.mutable_eliminate 0.90% : 0.000001s : 5: predicate.opt_reshape 2.08% : 0.000003s : 16: predicate.partial_eliminate 1.19% : 0.000002s : 11: predicate.print_const_string_wrapper 1.79% : 0.000003s : 11: predicate.reduce_eliminate 1.14% : 0.000002s : 11: predicate.redundant_stop_gradient_eliminater 0.81% : 0.000001s : 10: predicate.remove_not_recompute_node 1.93% : 0.000003s : 21: predicate.replace_applicator 0.97% : 0.000001s : 10: predicate.replace_old_param 0.53% : 0.000001s : 5: predicate.reset_defer_inline 1.22% : 0.000002s : 11: predicate.reshape_eliminate 1.14% : 0.000002s : 11: predicate.row_tensor_add_zeros_like 1.08% : 0.000002s : 5: predicate.row_tensor_eliminate 1.07% : 0.000002s : 11: predicate.same_eliminate 0.67% : 0.000001s : 10: predicate.set_cell_output_no_recompute 1.33% : 0.000002s : 10: predicate.special_op_eliminate 1.51% : 0.000002s : 10: predicate.specialize_transform 1.30% : 0.000002s : 11: predicate.split_environ_get_set_with_tuple_value 1.01% : 0.000001s : 11: predicate.stack_unstack_eliminate 0.76% : 0.000001s : 5: predicate.switch_call_monad_eliminater 1.86% : 0.000003s : 12: predicate.switch_defer_inline 1.23% : 0.000002s : 12: predicate.switch_layer_defer_inline 5.59% : 0.000008s : 32: predicate.switch_simplify 1.12% : 0.000002s : 11: predicate.tile_eliminate 1.25% : 0.000002s : 11: predicate.transpose_eliminate 1.56% : 0.000002s : 11: predicate.tuple_list_convert_item_index_to_positive 1.16% : 0.000002s : 11: predicate.tuple_list_get_item_depend_reorder 4.09% : 0.000006s : 21: predicate.tuple_list_get_item_eliminator 1.70% : 0.000002s : 11: predicate.tuple_list_set_item_eliminator 1.11% : 0.000002s : 11: predicate.tuple_to_list_eliminator_ 1.60% : 0.000002s : 16: predicate.updatestate_pure_node_eliminater 3.65% : 0.000005s : 26: predicate.updatestate_useless_node_eliminater 1.57% : 0.000002s : 11: predicate.value_based_eliminate 0.50% : 0.000001s : 5: predicate.virtual_view_grad_eliminate 1.28% : 0.000002s : 5: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.048400 4 0.05% : 0.000023s : 1: func_graph_cloner_run.FuncGraphClonerGraph 99.95% : 0.048377s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.378047 73 0.02% : 0.000086s : 1: add_recomputation 0.04% : 0.000137s : 1: auto_monad 0.01% : 0.000043s : 1: auto_monad_reorder 0.16% : 0.000599s : 1: bootstrap 0.01% : 0.000041s : 1: cconv 0.01% : 0.000020s : 1: convert_after_rewriter 0.01% : 0.000035s : 1: cse_after_recomputation 0.01% : 0.000023s : 1: environ_conv 0.01% : 0.000020s : 1: event_method 0.00% : 0.000005s : 1: expand_dump_flag 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000008s : 1: graph_reusing 2.94% : 0.011117s : 1: jit_opt_a 0.07% : 0.000258s : 1: jit_opt_after_cconv 0.02% : 0.000080s : 1: jit_opt_b 0.14% : 0.000532s : 1: loop_unroll 0.22% : 0.000844s : 1: mutable_eliminate 0.22% : 0.000816s : 26: opt.transform.jit_opt_a 0.03% : 0.000108s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000044s : 4: opt.transform.jit_opt_b 0.01% : 0.000020s : 1: opt.transform.loop_unroll_optimizer 0.03% : 0.000113s : 1: opt.transform.mutable_eliminate 0.01% : 0.000036s : 1: opt.transform.opt_after_jit_grad 0.01% : 0.000051s : 4: opt.transform.symbol_engine_opt 0.15% : 0.000569s : 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% : 0.000015s : 1: pre_auto_parallel 0.01% : 0.000034s : 1: process_offload_annotation 0.01% : 0.000038s : 1: py_interpret_to_execute 0.01% : 0.000034s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000021s : 1: remove_dup_value 0.12% : 0.000439s : 1: renormalize.infer 0.08% : 0.000309s : 1: renormalize.specialize 0.00% : 0.000008s : 1: rewriter_after_jit_bprop_graph 0.06% : 0.000241s : 1: rewriter_after_opt_a 0.02% : 0.000060s : 1: rewriter_before_opt_a 0.03% : 0.000104s : 1: symbol_engine_optimizer 95.52% : 0.361118s : 1: type_inference [WARNING] DEVICE(169861,fffe46eb8060,python3.9):2026-01-29-17:37:53.656.481 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:65] UpdateRemoteToDevice] UpdateRemoteToDevice is not implemented yet. TotalTime = 0.016845, [31] [bootstrap]: 0.0005285 [type_inference]: 0.00636252 [event_method]: 1.459e-05 [auto_monad]: 0.0001142 [graph_reusing]: 5.69999e-06 [pre_auto_parallel]: 2.60002e-06 [py_interpret_to_execute]: 1.647e-05 [rewriter_before_opt_a]: 4.257e-05 [expand_dump_flag]: 2.51e-06 [jit_opt_a]: 0.00665666, [2] [Cycle 1]: 0.00169972, [27] [switch_simplify]: 5.355e-05 [loop_unroll]: 1.319e-05 [a_1]: 0.00036502 [with_stream_mark]: 2.887e-05 [recompute_prepare]: 1.767e-05 [updatestate_depend_eliminate]: 6.84999e-06 [updatestate_assign_eliminate]: 5.87999e-06 [updatestate_loads_eliminate]: 5.12e-06 [parameter_eliminate]: 2.39999e-06 [specialize_transform]: 9.09998e-06 [updatestate_useless_node_eliminater]: 1.157e-05 [accelerated_algorithm]: 8.18999e-06 [meta_shard_fg_expand]: 2.74999e-06 [get_grad_eliminate_]: 7.97e-06 [merge_forward]: 5.42999e-06 [cell_reuse_recompute_pass]: 1.79998e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.065e-05 [j_node_and_user_rematch]: 1.394e-05 [meta_fg_expand]: 3.5e-06 [replace_old_param]: 1.316e-05 [inline_without_move]: 7.4e-06 [renormalize]: 0.00077295 [add_forward_monad_depend]: 1.651e-05 [auto_monad_grad]: 2.44999e-06 [auto_monad_eliminator]: 2.719e-05 [cse]: 3.921e-05 [replace_applicator]: 2.294e-05 [Cycle 2]: 0.00051576, [27] [switch_simplify]: 9.09e-06 [loop_unroll]: 7.63999e-06 [a_1]: 0.0001707 [with_stream_mark]: 1.786e-05 [recompute_prepare]: 9.35001e-06 [updatestate_depend_eliminate]: 6.29001e-06 [updatestate_assign_eliminate]: 4.43001e-06 [updatestate_loads_eliminate]: 4.33999e-06 [parameter_eliminate]: 1.82001e-06 [specialize_transform]: 8.38001e-06 [updatestate_useless_node_eliminater]: 1.041e-05 [accelerated_algorithm]: 8.15e-06 [meta_shard_fg_expand]: 2.64001e-06 [get_grad_eliminate_]: 7.97e-06 [merge_forward]: 5.49e-06 [cell_reuse_recompute_pass]: 2.15002e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.807e-05 [j_node_and_user_rematch]: 1.373e-05 [meta_fg_expand]: 3.55e-06 [replace_old_param]: 1.081e-05 [inline_without_move]: 7.98001e-06 [renormalize]: 1.00001e-07 [add_forward_monad_depend]: 2.88998e-06 [auto_monad_grad]: 2.24001e-06 [auto_monad_eliminator]: 1.54e-05 [cse]: 2.137e-05 [replace_applicator]: 1.054e-05 [py_interpret_to_execute_after_opt_a]: 1.774e-05 [rewriter_after_opt_a]: 0.00020303 [convert_after_rewriter]: 1.589e-05 [order_py_execute_after_rewriter]: 7.28e-06 [mutable_eliminate]: 0.0007974 [jit_opt_b]: 7.183e-05, [1] [Cycle 1]: 6.275e-05, [2] [frontend_op_eliminate]: 2.521e-05 [inline_after_opt_a]: 2.497e-05 [cconv]: 3.624e-05 [loop_unroll]: 0.00051683 [jit_opt_after_cconv]: 0.00022696, [1] [Cycle 1]: 0.00021768, [11] [c_1]: 5.327e-05 [parameter_eliminate]: 6.12999e-06 [updatestate_depend_eliminate]: 1.234e-05 [updatestate_assign_eliminate]: 5.03002e-06 [updatestate_loads_eliminate]: 5.04e-06 [cse]: 3.822e-05 [call_graph_tuple_transform]: 2.376e-05 [tuple_list_get_item_eliminator]: 8e-06 [none_parameter_eliminate]: 1.57001e-06 [renormalize]: 7.7e-07 [switch_simplify]: 8.68001e-06 [remove_dup_value]: 1.768e-05 [partial_unused_args_eliminate]: 2.49999e-06 [environ_conv]: 8.25999e-06 [add_recomputation]: 6.969e-05 [cse_after_recomputation]: 3.429e-05, [1] [Cycle 1]: 2.699e-05, [1] [cse]: 1.796e-05 [auto_monad_reorder]: 2.872e-05 [get_jit_bprop_graph]: 2.46998e-06 [rewriter_after_jit_bprop_graph]: 9.37999e-06 [opt_after_jit_grad]: 0.00059135 [symbol_engine_optimizer]: 0.00010447, [1] [Cycle 1]: 9.606e-05, [6] [build]: 7.71999e-06 [elim_shapecalc]: 1.303e-05 [elim_not_effective]: 2.153e-05 [opt_reshape]: 9.10001e-06 [fold_const_symbol]: 1.32e-05 [renormalize]: 7.49977e-07 [process_offload_annotation]: 1.504e-05 [validate]: 6.649e-05 Sums bootstrap : 0.000529s : 4.53% type_inference : 0.006363s : 54.56% event_method : 0.000015s : 0.13% auto_monad : 0.000114s : 0.98% graph_reusing : 0.000006s : 0.05% pre_auto_parallel : 0.000003s : 0.02% py_interpret_to_execute : 0.000016s : 0.14% rewriter_before_opt_a : 0.000043s : 0.37% expand_dump_flag : 0.000003s : 0.02% jit_opt_a.switch_simplify : 0.000063s : 0.54% jit_opt_a.loop_unroll : 0.000021s : 0.18% jit_opt_a.a_1 : 0.000536s : 4.59% jit_opt_a.with_stream_mark : 0.000047s : 0.40% jit_opt_a.recompute_prepare : 0.000027s : 0.23% jit_opt_a.updatestate_depend_eliminate : 0.000013s : 0.11% jit_opt_a.updatestate_assign_eliminate : 0.000010s : 0.09% jit_opt_a.updatestate_loads_eliminate : 0.000009s : 0.08% jit_opt_a.parameter_eliminate : 0.000004s : 0.04% jit_opt_a.specialize_transform : 0.000017s : 0.15% jit_opt_a.updatestate_useless_node_eliminater : 0.000022s : 0.19% jit_opt_a.accelerated_algorithm : 0.000016s : 0.14% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.05% jit_opt_a.get_grad_eliminate_ : 0.000016s : 0.14% jit_opt_a.merge_forward : 0.000011s : 0.09% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.03% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000039s : 0.33% jit_opt_a.j_node_and_user_rematch : 0.000028s : 0.24% jit_opt_a.meta_fg_expand : 0.000007s : 0.06% jit_opt_a.replace_old_param : 0.000024s : 0.21% jit_opt_a.inline_without_move : 0.000015s : 0.13% jit_opt_a.renormalize : 0.000773s : 6.63% jit_opt_a.add_forward_monad_depend : 0.000019s : 0.17% jit_opt_a.auto_monad_grad : 0.000005s : 0.04% jit_opt_a.auto_monad_eliminator : 0.000043s : 0.37% jit_opt_a.cse : 0.000061s : 0.52% jit_opt_a.replace_applicator : 0.000033s : 0.29% py_interpret_to_execute_after_opt_a : 0.000018s : 0.15% rewriter_after_opt_a : 0.000203s : 1.74% convert_after_rewriter : 0.000016s : 0.14% order_py_execute_after_rewriter : 0.000007s : 0.06% mutable_eliminate : 0.000797s : 6.84% jit_opt_b.frontend_op_eliminate : 0.000025s : 0.22% jit_opt_b.inline_after_opt_a : 0.000025s : 0.21% cconv : 0.000036s : 0.31% loop_unroll : 0.000517s : 4.43% jit_opt_after_cconv.c_1 : 0.000053s : 0.46% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.05% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 0.11% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.04% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.04% jit_opt_after_cconv.cse : 0.000038s : 0.33% jit_opt_after_cconv.call_graph_tuple_transform : 0.000024s : 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 : 0.01% jit_opt_after_cconv.switch_simplify : 0.000009s : 0.07% remove_dup_value : 0.000018s : 0.15% partial_unused_args_eliminate : 0.000002s : 0.02% environ_conv : 0.000008s : 0.07% add_recomputation : 0.000070s : 0.60% cse_after_recomputation.cse : 0.000018s : 0.15% auto_monad_reorder : 0.000029s : 0.25% get_jit_bprop_graph : 0.000002s : 0.02% rewriter_after_jit_bprop_graph : 0.000009s : 0.08% opt_after_jit_grad : 0.000591s : 5.07% symbol_engine_optimizer.build : 0.000008s : 0.07% symbol_engine_optimizer.elim_shapecalc : 0.000013s : 0.11% symbol_engine_optimizer.elim_not_effective : 0.000022s : 0.18% symbol_engine_optimizer.opt_reshape : 0.000009s : 0.08% symbol_engine_optimizer.fold_const_symbol : 0.000013s : 0.11% symbol_engine_optimizer.renormalize : 0.000001s : 0.01% process_offload_annotation : 0.000015s : 0.13% validate : 0.000066s : 0.57% Time group info: ------[substitution.] 0.000176 42 5.82% : 0.000010s : 2: substitution.depend_value_elim 1.71% : 0.000003s : 4: substitution.elim_not_effective 1.08% : 0.000002s : 4: substitution.fold_const_symbol 4.24% : 0.000007s : 5: substitution.graph_param_transform 63.61% : 0.000112s : 1: substitution.inline 2.73% : 0.000005s : 8: substitution.j_node_and_user_rematch 4.15% : 0.000007s : 8: substitution.remove_not_recompute_node 3.60% : 0.000006s : 2: substitution.replace_old_param 7.65% : 0.000013s : 3: substitution.updatestate_pure_node_eliminater 5.40% : 0.000009s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.006308 2 93.35% : 0.005889s : 1: type_inference.infer 6.65% : 0.000420s : 1: type_inference.specialize ------[replace.] 0.000018 1 100.00% : 0.000018s : 1: replace.inline ------[match.] 0.000111 1 100.00% : 0.000111s : 1: match.inline ------[predicate.] 0.000136 753 1.06% : 0.000001s : 11: predicate.accumulaten_eliminater 2.30% : 0.000003s : 5: predicate.ad_related_special_op_eliminate 0.98% : 0.000001s : 11: predicate.addn_check_dump 1.11% : 0.000002s : 11: predicate.addn_zero_filter 1.72% : 0.000002s : 11: predicate.arithmetic_simplify 1.28% : 0.000002s : 11: predicate.cast_eliminate 0.89% : 0.000001s : 5: predicate.check_bprop_eliminate 0.98% : 0.000001s : 11: predicate.compare_switch_simplify 1.25% : 0.000002s : 11: predicate.depend_value_elim 0.99% : 0.000001s : 11: predicate.dict_get_item_const_eliminator 1.15% : 0.000002s : 11: predicate.dict_get_item_eliminator 1.72% : 0.000002s : 11: predicate.dict_set_item_eliminator 1.81% : 0.000002s : 5: predicate.dumpgradient_eliminate 0.53% : 0.000001s : 5: predicate.elim_not_effective 0.91% : 0.000001s : 5: predicate.elim_shapecalc_of_broadcastargs 1.17% : 0.000002s : 11: predicate.environ_add_const_eliminate 0.98% : 0.000001s : 11: predicate.environ_get_add_eliminate 1.03% : 0.000001s : 11: predicate.environ_get_depend_swap 1.10% : 0.000002s : 11: predicate.environ_get_eliminate 1.31% : 0.000002s : 11: predicate.environ_get_set_eliminate 0.32% : 0.000000s : 5: predicate.fold_const_symbol 1.30% : 0.000002s : 10: predicate.get_grad_eliminate 0.49% : 0.000001s : 5: predicate.graph_param_transform 5.35% : 0.000007s : 22: predicate.inline 1.77% : 0.000002s : 10: predicate.inline_without_move 0.52% : 0.000001s : 10: predicate.j_node_and_user_rematch 1.49% : 0.000002s : 10: predicate.less_batch_normalization 1.08% : 0.000001s : 11: predicate.list_to_tuple_eliminator_ 1.66% : 0.000002s : 16: predicate.load_eliminater 1.96% : 0.000003s : 5: predicate.loop_unroll_after_grad 1.88% : 0.000003s : 15: predicate.loop_unroll_before_grad 2.25% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 0.99% : 0.000001s : 11: predicate.merge_addn 1.00% : 0.000001s : 11: predicate.minmaximum_grad 2.58% : 0.000004s : 5: predicate.mutable_eliminate 0.79% : 0.000001s : 5: predicate.opt_reshape 2.08% : 0.000003s : 16: predicate.partial_eliminate 1.19% : 0.000002s : 11: predicate.print_const_string_wrapper 1.68% : 0.000002s : 11: predicate.reduce_eliminate 1.17% : 0.000002s : 11: predicate.redundant_stop_gradient_eliminater 0.92% : 0.000001s : 10: predicate.remove_not_recompute_node 1.63% : 0.000002s : 21: predicate.replace_applicator 0.79% : 0.000001s : 10: predicate.replace_old_param 0.56% : 0.000001s : 5: predicate.reset_defer_inline 1.21% : 0.000002s : 11: predicate.reshape_eliminate 1.40% : 0.000002s : 11: predicate.row_tensor_add_zeros_like 0.99% : 0.000001s : 5: predicate.row_tensor_eliminate 1.17% : 0.000002s : 11: predicate.same_eliminate 0.85% : 0.000001s : 10: predicate.set_cell_output_no_recompute 1.39% : 0.000002s : 10: predicate.special_op_eliminate 1.58% : 0.000002s : 10: predicate.specialize_transform 1.28% : 0.000002s : 11: predicate.split_environ_get_set_with_tuple_value 1.10% : 0.000001s : 11: predicate.stack_unstack_eliminate 0.67% : 0.000001s : 5: predicate.switch_call_monad_eliminater 1.36% : 0.000002s : 12: predicate.switch_defer_inline 1.36% : 0.000002s : 12: predicate.switch_layer_defer_inline 6.23% : 0.000008s : 32: predicate.switch_simplify 1.09% : 0.000001s : 11: predicate.tile_eliminate 1.25% : 0.000002s : 11: predicate.transpose_eliminate 1.42% : 0.000002s : 11: predicate.tuple_list_convert_item_index_to_positive 1.33% : 0.000002s : 11: predicate.tuple_list_get_item_depend_reorder 3.84% : 0.000005s : 21: predicate.tuple_list_get_item_eliminator 1.43% : 0.000002s : 11: predicate.tuple_list_set_item_eliminator 1.15% : 0.000002s : 11: predicate.tuple_to_list_eliminator_ 1.61% : 0.000002s : 16: predicate.updatestate_pure_node_eliminater 3.36% : 0.000005s : 26: predicate.updatestate_useless_node_eliminater 1.51% : 0.000002s : 11: predicate.value_based_eliminate 0.57% : 0.000001s : 5: predicate.virtual_view_grad_eliminate 1.07% : 0.000001s : 5: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000235 4 9.62% : 0.000023s : 1: func_graph_cloner_run.FuncGraphClonerGraph 90.38% : 0.000212s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.018535 73 0.41% : 0.000076s : 1: add_recomputation 0.64% : 0.000119s : 1: auto_monad 0.17% : 0.000031s : 1: auto_monad_reorder 2.99% : 0.000553s : 1: bootstrap 0.21% : 0.000039s : 1: cconv 0.11% : 0.000020s : 1: convert_after_rewriter 0.20% : 0.000037s : 1: cse_after_recomputation 0.06% : 0.000010s : 1: environ_conv 0.11% : 0.000020s : 1: event_method 0.02% : 0.000005s : 1: expand_dump_flag 0.03% : 0.000005s : 1: get_jit_bprop_graph 0.04% : 0.000008s : 1: graph_reusing 35.93% : 0.006660s : 1: jit_opt_a 1.24% : 0.000231s : 1: jit_opt_after_cconv 0.40% : 0.000075s : 1: jit_opt_b 2.86% : 0.000530s : 1: loop_unroll 4.38% : 0.000811s : 1: mutable_eliminate 4.40% : 0.000815s : 26: opt.transform.jit_opt_a 0.49% : 0.000090s : 4: opt.transform.jit_opt_after_cconv 0.23% : 0.000042s : 4: opt.transform.jit_opt_b 0.11% : 0.000020s : 1: opt.transform.loop_unroll_optimizer 0.14% : 0.000026s : 1: opt.transform.mutable_eliminate 0.20% : 0.000037s : 1: opt.transform.opt_after_jit_grad 0.29% : 0.000053s : 4: opt.transform.symbol_engine_opt 3.27% : 0.000606s : 1: opt_after_jit_grad 0.05% : 0.000010s : 1: order_py_execute_after_rewriter 0.02% : 0.000005s : 1: partial_unused_args_eliminate 0.02% : 0.000005s : 1: pre_auto_parallel 0.09% : 0.000017s : 1: process_offload_annotation 0.12% : 0.000023s : 1: py_interpret_to_execute 0.11% : 0.000020s : 1: py_interpret_to_execute_after_opt_a 0.11% : 0.000020s : 1: remove_dup_value 2.48% : 0.000460s : 1: renormalize.infer 1.63% : 0.000302s : 1: renormalize.specialize 0.06% : 0.000012s : 1: rewriter_after_jit_bprop_graph 1.13% : 0.000210s : 1: rewriter_after_opt_a 0.24% : 0.000045s : 1: rewriter_before_opt_a 0.58% : 0.000108s : 1: symbol_engine_optimizer 34.41% : 0.006379s : 1: type_inference [WARNING] DEVICE(169861,fffe46eb8060,python3.9):2026-01-29-17:37:54.046.303 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:65] UpdateRemoteToDevice] UpdateRemoteToDevice is not implemented yet. TotalTime = 0.0127436, [31] [bootstrap]: 0.00027102 [type_inference]: 0.00433452 [event_method]: 1.325e-05 [auto_monad]: 0.00010636 [graph_reusing]: 4.95999e-06 [pre_auto_parallel]: 2.06e-06 [py_interpret_to_execute]: 1.395e-05 [rewriter_before_opt_a]: 3.871e-05 [expand_dump_flag]: 2.87002e-06 [jit_opt_a]: 0.00527773, [2] [Cycle 1]: 0.00141939, [27] [switch_simplify]: 4.018e-05 [loop_unroll]: 1.47e-05 [a_1]: 0.00033403 [with_stream_mark]: 2.647e-05 [recompute_prepare]: 9.70002e-06 [updatestate_depend_eliminate]: 6.66999e-06 [updatestate_assign_eliminate]: 5.19998e-06 [updatestate_loads_eliminate]: 5.15999e-06 [parameter_eliminate]: 2.14e-06 [specialize_transform]: 8.43999e-06 [updatestate_useless_node_eliminater]: 1.122e-05 [accelerated_algorithm]: 7.83999e-06 [meta_shard_fg_expand]: 2.46e-06 [get_grad_eliminate_]: 7.33e-06 [merge_forward]: 5.17999e-06 [cell_reuse_recompute_pass]: 1.24e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.884e-05 [j_node_and_user_rematch]: 1.308e-05 [meta_fg_expand]: 3.02002e-06 [replace_old_param]: 1.177e-05 [inline_without_move]: 7.41999e-06 [renormalize]: 0.00061809 [add_forward_monad_depend]: 5.37001e-06 [auto_monad_grad]: 2.37999e-06 [auto_monad_eliminator]: 2.095e-05 [cse]: 3.694e-05 [replace_applicator]: 1.428e-05 [Cycle 2]: 0.00045444, [27] [switch_simplify]: 9.51e-06 [loop_unroll]: 7.26999e-06 [a_1]: 0.00015907 [with_stream_mark]: 1.203e-05 [recompute_prepare]: 8.37e-06 [updatestate_depend_eliminate]: 4.92e-06 [updatestate_assign_eliminate]: 4.33999e-06 [updatestate_loads_eliminate]: 4.01001e-06 [parameter_eliminate]: 1.11002e-06 [specialize_transform]: 7.68999e-06 [updatestate_useless_node_eliminater]: 1.009e-05 [accelerated_algorithm]: 7.63999e-06 [meta_shard_fg_expand]: 1.62001e-06 [get_grad_eliminate_]: 6.94001e-06 [merge_forward]: 5.02e-06 [cell_reuse_recompute_pass]: 1.42999e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.692e-05 [j_node_and_user_rematch]: 1.242e-05 [meta_fg_expand]: 2.74001e-06 [replace_old_param]: 9.66998e-06 [inline_without_move]: 7.05e-06 [renormalize]: 7.99773e-08 [add_forward_monad_depend]: 1.24e-06 [auto_monad_grad]: 1.12e-06 [auto_monad_eliminator]: 1.238e-05 [cse]: 1.628e-05 [replace_applicator]: 7.35998e-06 [py_interpret_to_execute_after_opt_a]: 1.432e-05 [rewriter_after_opt_a]: 0.00020055 [convert_after_rewriter]: 1.183e-05 [order_py_execute_after_rewriter]: 7.36999e-06 [mutable_eliminate]: 0.00058139 [jit_opt_b]: 6.7e-05, [1] [Cycle 1]: 5.877e-05, [2] [frontend_op_eliminate]: 2.348e-05 [inline_after_opt_a]: 2.343e-05 [cconv]: 3.133e-05 [loop_unroll]: 0.00046202 [jit_opt_after_cconv]: 0.00020527, [1] [Cycle 1]: 0.0001984, [11] [c_1]: 4.937e-05 [parameter_eliminate]: 3.28e-06 [updatestate_depend_eliminate]: 1.019e-05 [updatestate_assign_eliminate]: 5.01002e-06 [updatestate_loads_eliminate]: 4.48999e-06 [cse]: 2.935e-05 [call_graph_tuple_transform]: 2.293e-05 [tuple_list_get_item_eliminator]: 8.03999e-06 [none_parameter_eliminate]: 1.40001e-06 [renormalize]: 3.60014e-07 [switch_simplify]: 7.93001e-06 [remove_dup_value]: 1.558e-05 [partial_unused_args_eliminate]: 2.41e-06 [environ_conv]: 7.22002e-06 [add_recomputation]: 6.67e-05 [cse_after_recomputation]: 2.65e-05, [1] [Cycle 1]: 2.086e-05, [1] [cse]: 1.489e-05 [auto_monad_reorder]: 2.764e-05 [get_jit_bprop_graph]: 2.21e-06 [rewriter_after_jit_bprop_graph]: 5.50001e-06 [opt_after_jit_grad]: 0.00055143 [symbol_engine_optimizer]: 0.00010282, [1] [Cycle 1]: 8.983e-05, [6] [build]: 6.59999e-06 [elim_shapecalc]: 1.267e-05 [elim_not_effective]: 1.868e-05 [opt_reshape]: 8.62e-06 [fold_const_symbol]: 1.384e-05 [renormalize]: 4.50003e-07 [process_offload_annotation]: 1.45e-05 [validate]: 5.582e-05 Sums bootstrap : 0.000271s : 3.12% type_inference : 0.004335s : 49.89% event_method : 0.000013s : 0.15% auto_monad : 0.000106s : 1.22% graph_reusing : 0.000005s : 0.06% pre_auto_parallel : 0.000002s : 0.02% py_interpret_to_execute : 0.000014s : 0.16% rewriter_before_opt_a : 0.000039s : 0.45% expand_dump_flag : 0.000003s : 0.03% jit_opt_a.switch_simplify : 0.000050s : 0.57% jit_opt_a.loop_unroll : 0.000022s : 0.25% jit_opt_a.a_1 : 0.000493s : 5.68% jit_opt_a.with_stream_mark : 0.000039s : 0.44% jit_opt_a.recompute_prepare : 0.000018s : 0.21% 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 : 0.11% jit_opt_a.parameter_eliminate : 0.000003s : 0.04% jit_opt_a.specialize_transform : 0.000016s : 0.19% jit_opt_a.updatestate_useless_node_eliminater : 0.000021s : 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_ : 0.000014s : 0.16% 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 : 0.41% 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 : 0.000021s : 0.25% jit_opt_a.inline_without_move : 0.000014s : 0.17% jit_opt_a.renormalize : 0.000618s : 7.11% jit_opt_a.add_forward_monad_depend : 0.000007s : 0.08% jit_opt_a.auto_monad_grad : 0.000003s : 0.04% jit_opt_a.auto_monad_eliminator : 0.000033s : 0.38% jit_opt_a.cse : 0.000053s : 0.61% jit_opt_a.replace_applicator : 0.000022s : 0.25% py_interpret_to_execute_after_opt_a : 0.000014s : 0.16% rewriter_after_opt_a : 0.000201s : 2.31% convert_after_rewriter : 0.000012s : 0.14% order_py_execute_after_rewriter : 0.000007s : 0.08% mutable_eliminate : 0.000581s : 6.69% jit_opt_b.frontend_op_eliminate : 0.000023s : 0.27% jit_opt_b.inline_after_opt_a : 0.000023s : 0.27% cconv : 0.000031s : 0.36% loop_unroll : 0.000462s : 5.32% jit_opt_after_cconv.c_1 : 0.000049s : 0.57% jit_opt_after_cconv.parameter_eliminate : 0.000003s : 0.04% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000010s : 0.12% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.06% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000004s : 0.05% jit_opt_after_cconv.cse : 0.000029s : 0.34% jit_opt_after_cconv.call_graph_tuple_transform : 0.000023s : 0.26% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000008s : 0.09% jit_opt_after_cconv.none_parameter_eliminate : 0.000001s : 0.02% jit_opt_after_cconv.renormalize : 0.000000s : 0.00% 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 : 0.000007s : 0.08% add_recomputation : 0.000067s : 0.77% cse_after_recomputation.cse : 0.000015s : 0.17% auto_monad_reorder : 0.000028s : 0.32% get_jit_bprop_graph : 0.000002s : 0.03% rewriter_after_jit_bprop_graph : 0.000006s : 0.06% opt_after_jit_grad : 0.000551s : 6.35% symbol_engine_optimizer.build : 0.000007s : 0.08% symbol_engine_optimizer.elim_shapecalc : 0.000013s : 0.15% symbol_engine_optimizer.elim_not_effective : 0.000019s : 0.21% symbol_engine_optimizer.opt_reshape : 0.000009s : 0.10% symbol_engine_optimizer.fold_const_symbol : 0.000014s : 0.16% symbol_engine_optimizer.renormalize : 0.000000s : 0.01% process_offload_annotation : 0.000014s : 0.17% validate : 0.000056s : 0.64% Time group info: ------[substitution.] 0.000147 42 5.38% : 0.000008s : 2: substitution.depend_value_elim 1.83% : 0.000003s : 4: substitution.elim_not_effective 1.40% : 0.000002s : 4: substitution.fold_const_symbol 4.65% : 0.000007s : 5: substitution.graph_param_transform 61.92% : 0.000091s : 1: substitution.inline 3.78% : 0.000006s : 8: substitution.j_node_and_user_rematch 4.99% : 0.000007s : 8: substitution.remove_not_recompute_node 3.43% : 0.000005s : 2: substitution.replace_old_param 6.93% : 0.000010s : 3: substitution.updatestate_pure_node_eliminater 5.67% : 0.000008s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.004283 2 91.56% : 0.003921s : 1: type_inference.infer 8.44% : 0.000362s : 1: type_inference.specialize ------[replace.] 0.000015 1 100.00% : 0.000015s : 1: replace.inline ------[match.] 0.000090 1 100.00% : 0.000090s : 1: match.inline ------[predicate.] 0.000128 753 1.19% : 0.000002s : 11: predicate.accumulaten_eliminater 1.85% : 0.000002s : 5: predicate.ad_related_special_op_eliminate 1.09% : 0.000001s : 11: predicate.addn_check_dump 1.16% : 0.000001s : 11: predicate.addn_zero_filter 1.90% : 0.000002s : 11: predicate.arithmetic_simplify 1.22% : 0.000002s : 11: predicate.cast_eliminate 0.69% : 0.000001s : 5: predicate.check_bprop_eliminate 1.04% : 0.000001s : 11: predicate.compare_switch_simplify 1.98% : 0.000003s : 11: predicate.depend_value_elim 1.09% : 0.000001s : 11: predicate.dict_get_item_const_eliminator 1.14% : 0.000001s : 11: predicate.dict_get_item_eliminator 1.21% : 0.000002s : 11: predicate.dict_set_item_eliminator 1.42% : 0.000002s : 5: predicate.dumpgradient_eliminate 0.43% : 0.000001s : 5: predicate.elim_not_effective 0.94% : 0.000001s : 5: predicate.elim_shapecalc_of_broadcastargs 1.19% : 0.000002s : 11: predicate.environ_add_const_eliminate 1.05% : 0.000001s : 11: predicate.environ_get_add_eliminate 1.15% : 0.000001s : 11: predicate.environ_get_depend_swap 1.13% : 0.000001s : 11: predicate.environ_get_eliminate 1.09% : 0.000001s : 11: predicate.environ_get_set_eliminate 0.37% : 0.000000s : 5: predicate.fold_const_symbol 1.36% : 0.000002s : 10: predicate.get_grad_eliminate 0.50% : 0.000001s : 5: predicate.graph_param_transform 5.43% : 0.000007s : 22: predicate.inline 1.35% : 0.000002s : 10: predicate.inline_without_move 0.55% : 0.000001s : 10: predicate.j_node_and_user_rematch 1.53% : 0.000002s : 10: predicate.less_batch_normalization 1.20% : 0.000002s : 11: predicate.list_to_tuple_eliminator_ 1.86% : 0.000002s : 16: predicate.load_eliminater 1.94% : 0.000002s : 5: predicate.loop_unroll_after_grad 1.93% : 0.000002s : 15: predicate.loop_unroll_before_grad 2.30% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.05% : 0.000001s : 11: predicate.merge_addn 1.08% : 0.000001s : 11: predicate.minmaximum_grad 2.34% : 0.000003s : 5: predicate.mutable_eliminate 0.90% : 0.000001s : 5: predicate.opt_reshape 2.34% : 0.000003s : 16: predicate.partial_eliminate 1.12% : 0.000001s : 11: predicate.print_const_string_wrapper 1.64% : 0.000002s : 11: predicate.reduce_eliminate 1.23% : 0.000002s : 11: predicate.redundant_stop_gradient_eliminater 0.84% : 0.000001s : 10: predicate.remove_not_recompute_node 1.75% : 0.000002s : 21: predicate.replace_applicator 0.93% : 0.000001s : 10: predicate.replace_old_param 0.59% : 0.000001s : 5: predicate.reset_defer_inline 1.26% : 0.000002s : 11: predicate.reshape_eliminate 1.11% : 0.000001s : 11: predicate.row_tensor_add_zeros_like 0.93% : 0.000001s : 5: predicate.row_tensor_eliminate 1.24% : 0.000002s : 11: predicate.same_eliminate 0.75% : 0.000001s : 10: predicate.set_cell_output_no_recompute 1.54% : 0.000002s : 10: predicate.special_op_eliminate 1.47% : 0.000002s : 10: predicate.specialize_transform 1.35% : 0.000002s : 11: predicate.split_environ_get_set_with_tuple_value 1.14% : 0.000001s : 11: predicate.stack_unstack_eliminate 0.80% : 0.000001s : 5: predicate.switch_call_monad_eliminater 1.52% : 0.000002s : 12: predicate.switch_defer_inline 1.34% : 0.000002s : 12: predicate.switch_layer_defer_inline 5.51% : 0.000007s : 32: predicate.switch_simplify 1.12% : 0.000001s : 11: predicate.tile_eliminate 1.23% : 0.000002s : 11: predicate.transpose_eliminate 1.44% : 0.000002s : 11: predicate.tuple_list_convert_item_index_to_positive 1.29% : 0.000002s : 11: predicate.tuple_list_get_item_depend_reorder 3.69% : 0.000005s : 21: predicate.tuple_list_get_item_eliminator 1.41% : 0.000002s : 11: predicate.tuple_list_set_item_eliminator 1.14% : 0.000001s : 11: predicate.tuple_to_list_eliminator_ 1.74% : 0.000002s : 16: predicate.updatestate_pure_node_eliminater 3.68% : 0.000005s : 26: predicate.updatestate_useless_node_eliminater 1.54% : 0.000002s : 11: predicate.value_based_eliminate 0.69% : 0.000001s : 5: predicate.virtual_view_grad_eliminate 1.00% : 0.000001s : 5: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000199 4 10.17% : 0.000020s : 1: func_graph_cloner_run.FuncGraphClonerGraph 89.83% : 0.000179s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.014263 73 0.49% : 0.000070s : 1: add_recomputation 0.78% : 0.000111s : 1: auto_monad 0.21% : 0.000030s : 1: auto_monad_reorder 2.04% : 0.000291s : 1: bootstrap 0.24% : 0.000034s : 1: cconv 0.11% : 0.000015s : 1: convert_after_rewriter 0.20% : 0.000029s : 1: cse_after_recomputation 0.07% : 0.000009s : 1: environ_conv 0.13% : 0.000018s : 1: event_method 0.03% : 0.000005s : 1: expand_dump_flag 0.03% : 0.000005s : 1: get_jit_bprop_graph 0.05% : 0.000007s : 1: graph_reusing 37.02% : 0.005281s : 1: jit_opt_a 1.46% : 0.000208s : 1: jit_opt_after_cconv 0.49% : 0.000070s : 1: jit_opt_b 3.30% : 0.000471s : 1: loop_unroll 4.14% : 0.000591s : 1: mutable_eliminate 5.19% : 0.000740s : 26: opt.transform.jit_opt_a 0.59% : 0.000084s : 4: opt.transform.jit_opt_after_cconv 0.28% : 0.000040s : 4: opt.transform.jit_opt_b 0.12% : 0.000018s : 1: opt.transform.loop_unroll_optimizer 0.14% : 0.000020s : 1: opt.transform.mutable_eliminate 0.67% : 0.000096s : 1: opt.transform.opt_after_jit_grad 0.35% : 0.000050s : 4: opt.transform.symbol_engine_opt 3.94% : 0.000562s : 1: opt_after_jit_grad 0.07% : 0.000010s : 1: order_py_execute_after_rewriter 0.03% : 0.000004s : 1: partial_unused_args_eliminate 0.03% : 0.000004s : 1: pre_auto_parallel 0.12% : 0.000017s : 1: process_offload_annotation 0.12% : 0.000017s : 1: py_interpret_to_execute 0.12% : 0.000017s : 1: py_interpret_to_execute_after_opt_a 0.13% : 0.000018s : 1: remove_dup_value 2.54% : 0.000362s : 1: renormalize.infer 1.74% : 0.000249s : 1: renormalize.specialize 0.05% : 0.000008s : 1: rewriter_after_jit_bprop_graph 1.44% : 0.000205s : 1: rewriter_after_opt_a 0.29% : 0.000042s : 1: rewriter_before_opt_a 0.74% : 0.000105s : 1: symbol_engine_optimizer 30.51% : 0.004351s : 1: type_inference [WARNING] DEVICE(169861,fffe46eb8060,python3.9):2026-01-29-17:37:54.501.600 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:65] UpdateRemoteToDevice] UpdateRemoteToDevice is not implemented yet. TotalTime = 0.0116124, [31] [bootstrap]: 0.0002397 [type_inference]: 0.00389661 [event_method]: 9.96e-06 [auto_monad]: 9.958e-05 [graph_reusing]: 5.40001e-06 [pre_auto_parallel]: 2.07999e-06 [py_interpret_to_execute]: 1.321e-05 [rewriter_before_opt_a]: 3.966e-05 [expand_dump_flag]: 2.49001e-06 [jit_opt_a]: 0.00493072, [2] [Cycle 1]: 0.00126775, [27] [switch_simplify]: 3.553e-05 [loop_unroll]: 1.336e-05 [a_1]: 0.00031458 [with_stream_mark]: 2.058e-05 [recompute_prepare]: 9.66998e-06 [updatestate_depend_eliminate]: 6.19001e-06 [updatestate_assign_eliminate]: 5.69e-06 [updatestate_loads_eliminate]: 4.48001e-06 [parameter_eliminate]: 1.91e-06 [specialize_transform]: 8.53001e-06 [updatestate_useless_node_eliminater]: 1.151e-05 [accelerated_algorithm]: 8.08001e-06 [meta_shard_fg_expand]: 2.37999e-06 [get_grad_eliminate_]: 7.95e-06 [merge_forward]: 5.09e-06 [cell_reuse_recompute_pass]: 1.41002e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.851e-05 [j_node_and_user_rematch]: 1.317e-05 [meta_fg_expand]: 2.93998e-06 [replace_old_param]: 1.092e-05 [inline_without_move]: 7.56999e-06 [renormalize]: 0.00050999 [add_forward_monad_depend]: 5.30999e-06 [auto_monad_grad]: 2.79999e-06 [auto_monad_eliminator]: 1.97e-05 [cse]: 3.478e-05 [replace_applicator]: 1.556e-05 [Cycle 2]: 0.00045016, [27] [switch_simplify]: 8.35001e-06 [loop_unroll]: 7.32997e-06 [a_1]: 0.00016067 [with_stream_mark]: 1.244e-05 [recompute_prepare]: 7.51001e-06 [updatestate_depend_eliminate]: 5.40001e-06 [updatestate_assign_eliminate]: 4.50001e-06 [updatestate_loads_eliminate]: 4.02e-06 [parameter_eliminate]: 9.70002e-07 [specialize_transform]: 7.78001e-06 [updatestate_useless_node_eliminater]: 9.89001e-06 [accelerated_algorithm]: 7.5e-06 [meta_shard_fg_expand]: 1.72001e-06 [get_grad_eliminate_]: 7.11001e-06 [merge_forward]: 4.55999e-06 [cell_reuse_recompute_pass]: 1.69e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.593e-05 [j_node_and_user_rematch]: 1.17e-05 [meta_fg_expand]: 2.36e-06 [replace_old_param]: 9.40001e-06 [inline_without_move]: 7.29001e-06 [renormalize]: 1.00001e-07 [add_forward_monad_depend]: 1.50999e-06 [auto_monad_grad]: 8.70001e-07 [auto_monad_eliminator]: 1.043e-05 [cse]: 1.524e-05 [replace_applicator]: 7.41999e-06 [py_interpret_to_execute_after_opt_a]: 1.211e-05 [rewriter_after_opt_a]: 0.00014734 [convert_after_rewriter]: 1.003e-05 [order_py_execute_after_rewriter]: 7.06001e-06 [mutable_eliminate]: 0.00051121 [jit_opt_b]: 6.546e-05, [1] [Cycle 1]: 5.788e-05, [2] [frontend_op_eliminate]: 2.317e-05 [inline_after_opt_a]: 2.255e-05 [cconv]: 2.562e-05 [loop_unroll]: 0.00040618 [jit_opt_after_cconv]: 0.00021084, [1] [Cycle 1]: 0.00020422, [11] [c_1]: 4.384e-05 [parameter_eliminate]: 2.74001e-06 [updatestate_depend_eliminate]: 8.15999e-06 [updatestate_assign_eliminate]: 4.60999e-06 [updatestate_loads_eliminate]: 4.08001e-06 [cse]: 2.433e-05 [call_graph_tuple_transform]: 2.225e-05 [tuple_list_get_item_eliminator]: 8.15e-06 [none_parameter_eliminate]: 1.954e-05 [renormalize]: 7.60017e-07 [switch_simplify]: 9.25001e-06 [remove_dup_value]: 1.642e-05 [partial_unused_args_eliminate]: 2.43e-06 [environ_conv]: 6.69999e-06 [add_recomputation]: 6.541e-05 [cse_after_recomputation]: 2.852e-05, [1] [Cycle 1]: 2.227e-05, [1] [cse]: 1.604e-05 [auto_monad_reorder]: 2.863e-05 [get_jit_bprop_graph]: 1.86e-06 [rewriter_after_jit_bprop_graph]: 5.67001e-06 [opt_after_jit_grad]: 0.00047565 [symbol_engine_optimizer]: 9.146e-05, [1] [Cycle 1]: 8.502e-05, [6] [build]: 6.28e-06 [elim_shapecalc]: 1.129e-05 [elim_not_effective]: 1.778e-05 [opt_reshape]: 8.54e-06 [fold_const_symbol]: 1.316e-05 [renormalize]: 2.40019e-07 [process_offload_annotation]: 1.26e-05 [validate]: 4.775e-05 Sums bootstrap : 0.000240s : 3.08% type_inference : 0.003897s : 50.02% event_method : 0.000010s : 0.13% auto_monad : 0.000100s : 1.28% graph_reusing : 0.000005s : 0.07% pre_auto_parallel : 0.000002s : 0.03% py_interpret_to_execute : 0.000013s : 0.17% rewriter_before_opt_a : 0.000040s : 0.51% expand_dump_flag : 0.000002s : 0.03% jit_opt_a.switch_simplify : 0.000044s : 0.56% jit_opt_a.loop_unroll : 0.000021s : 0.27% jit_opt_a.a_1 : 0.000475s : 6.10% jit_opt_a.with_stream_mark : 0.000033s : 0.42% jit_opt_a.recompute_prepare : 0.000017s : 0.22% jit_opt_a.updatestate_depend_eliminate : 0.000012s : 0.15% jit_opt_a.updatestate_assign_eliminate : 0.000010s : 0.13% jit_opt_a.updatestate_loads_eliminate : 0.000009s : 0.11% jit_opt_a.parameter_eliminate : 0.000003s : 0.04% jit_opt_a.specialize_transform : 0.000016s : 0.21% jit_opt_a.updatestate_useless_node_eliminater : 0.000021s : 0.27% jit_opt_a.accelerated_algorithm : 0.000016s : 0.20% jit_opt_a.meta_shard_fg_expand : 0.000004s : 0.05% jit_opt_a.get_grad_eliminate_ : 0.000015s : 0.19% jit_opt_a.merge_forward : 0.000010s : 0.12% jit_opt_a.cell_reuse_recompute_pass : 0.000003s : 0.04% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000034s : 0.44% jit_opt_a.j_node_and_user_rematch : 0.000025s : 0.32% jit_opt_a.meta_fg_expand : 0.000005s : 0.07% jit_opt_a.replace_old_param : 0.000020s : 0.26% jit_opt_a.inline_without_move : 0.000015s : 0.19% jit_opt_a.renormalize : 0.000510s : 6.55% jit_opt_a.add_forward_monad_depend : 0.000007s : 0.09% jit_opt_a.auto_monad_grad : 0.000004s : 0.05% jit_opt_a.auto_monad_eliminator : 0.000030s : 0.39% jit_opt_a.cse : 0.000050s : 0.64% jit_opt_a.replace_applicator : 0.000023s : 0.29% py_interpret_to_execute_after_opt_a : 0.000012s : 0.16% rewriter_after_opt_a : 0.000147s : 1.89% convert_after_rewriter : 0.000010s : 0.13% order_py_execute_after_rewriter : 0.000007s : 0.09% mutable_eliminate : 0.000511s : 6.56% jit_opt_b.frontend_op_eliminate : 0.000023s : 0.30% jit_opt_b.inline_after_opt_a : 0.000023s : 0.29% cconv : 0.000026s : 0.33% loop_unroll : 0.000406s : 5.21% jit_opt_after_cconv.c_1 : 0.000044s : 0.56% jit_opt_after_cconv.parameter_eliminate : 0.000003s : 0.04% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000008s : 0.10% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.06% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000004s : 0.05% jit_opt_after_cconv.cse : 0.000024s : 0.31% jit_opt_after_cconv.call_graph_tuple_transform : 0.000022s : 0.29% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000008s : 0.10% jit_opt_after_cconv.none_parameter_eliminate : 0.000020s : 0.25% jit_opt_after_cconv.renormalize : 0.000001s : 0.01% jit_opt_after_cconv.switch_simplify : 0.000009s : 0.12% remove_dup_value : 0.000016s : 0.21% partial_unused_args_eliminate : 0.000002s : 0.03% environ_conv : 0.000007s : 0.09% add_recomputation : 0.000065s : 0.84% cse_after_recomputation.cse : 0.000016s : 0.21% auto_monad_reorder : 0.000029s : 0.37% get_jit_bprop_graph : 0.000002s : 0.02% rewriter_after_jit_bprop_graph : 0.000006s : 0.07% opt_after_jit_grad : 0.000476s : 6.11% symbol_engine_optimizer.build : 0.000006s : 0.08% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.14% symbol_engine_optimizer.elim_not_effective : 0.000018s : 0.23% symbol_engine_optimizer.opt_reshape : 0.000009s : 0.11% symbol_engine_optimizer.fold_const_symbol : 0.000013s : 0.17% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% process_offload_annotation : 0.000013s : 0.16% validate : 0.000048s : 0.61% Time group info: ------[substitution.] 0.000127 42 6.39% : 0.000008s : 2: substitution.depend_value_elim 2.11% : 0.000003s : 4: substitution.elim_not_effective 1.74% : 0.000002s : 4: substitution.fold_const_symbol 5.38% : 0.000007s : 5: substitution.graph_param_transform 57.94% : 0.000074s : 1: substitution.inline 3.70% : 0.000005s : 8: substitution.j_node_and_user_rematch 5.68% : 0.000007s : 8: substitution.remove_not_recompute_node 3.20% : 0.000004s : 2: substitution.replace_old_param 6.59% : 0.000008s : 3: substitution.updatestate_pure_node_eliminater 7.26% : 0.000009s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.003858 2 92.51% : 0.003569s : 1: type_inference.infer 7.49% : 0.000289s : 1: type_inference.specialize ------[replace.] 0.000015 1 100.00% : 0.000015s : 1: replace.inline ------[match.] 0.000073 1 100.00% : 0.000073s : 1: match.inline ------[predicate.] 0.000125 753 1.32% : 0.000002s : 11: predicate.accumulaten_eliminater 1.49% : 0.000002s : 5: predicate.ad_related_special_op_eliminate 1.06% : 0.000001s : 11: predicate.addn_check_dump 1.27% : 0.000002s : 11: predicate.addn_zero_filter 1.81% : 0.000002s : 11: predicate.arithmetic_simplify 1.39% : 0.000002s : 11: predicate.cast_eliminate 0.74% : 0.000001s : 5: predicate.check_bprop_eliminate 1.11% : 0.000001s : 11: predicate.compare_switch_simplify 1.45% : 0.000002s : 11: predicate.depend_value_elim 1.09% : 0.000001s : 11: predicate.dict_get_item_const_eliminator 1.25% : 0.000002s : 11: predicate.dict_get_item_eliminator 1.15% : 0.000001s : 11: predicate.dict_set_item_eliminator 1.06% : 0.000001s : 5: predicate.dumpgradient_eliminate 0.46% : 0.000001s : 5: predicate.elim_not_effective 0.87% : 0.000001s : 5: predicate.elim_shapecalc_of_broadcastargs 1.23% : 0.000002s : 11: predicate.environ_add_const_eliminate 1.18% : 0.000001s : 11: predicate.environ_get_add_eliminate 1.08% : 0.000001s : 11: predicate.environ_get_depend_swap 1.15% : 0.000001s : 11: predicate.environ_get_eliminate 1.28% : 0.000002s : 11: predicate.environ_get_set_eliminate 0.34% : 0.000000s : 5: predicate.fold_const_symbol 1.58% : 0.000002s : 10: predicate.get_grad_eliminate 0.70% : 0.000001s : 5: predicate.graph_param_transform 5.01% : 0.000006s : 22: predicate.inline 1.47% : 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 1.25% : 0.000002s : 11: predicate.list_to_tuple_eliminator_ 1.82% : 0.000002s : 16: predicate.load_eliminater 1.71% : 0.000002s : 5: predicate.loop_unroll_after_grad 1.94% : 0.000002s : 15: predicate.loop_unroll_before_grad 2.20% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.11% : 0.000001s : 11: predicate.merge_addn 1.14% : 0.000001s : 11: predicate.minmaximum_grad 1.63% : 0.000002s : 5: predicate.mutable_eliminate 0.87% : 0.000001s : 5: predicate.opt_reshape 2.27% : 0.000003s : 16: predicate.partial_eliminate 1.14% : 0.000001s : 11: predicate.print_const_string_wrapper 1.75% : 0.000002s : 11: predicate.reduce_eliminate 1.20% : 0.000002s : 11: predicate.redundant_stop_gradient_eliminater 0.83% : 0.000001s : 10: predicate.remove_not_recompute_node 1.80% : 0.000002s : 21: predicate.replace_applicator 0.74% : 0.000001s : 10: predicate.replace_old_param 0.56% : 0.000001s : 5: predicate.reset_defer_inline 1.42% : 0.000002s : 11: predicate.reshape_eliminate 1.27% : 0.000002s : 11: predicate.row_tensor_add_zeros_like 1.02% : 0.000001s : 5: predicate.row_tensor_eliminate 1.20% : 0.000001s : 11: predicate.same_eliminate 0.81% : 0.000001s : 10: predicate.set_cell_output_no_recompute 1.45% : 0.000002s : 10: predicate.special_op_eliminate 1.54% : 0.000002s : 10: predicate.specialize_transform 1.52% : 0.000002s : 11: predicate.split_environ_get_set_with_tuple_value 1.16% : 0.000001s : 11: predicate.stack_unstack_eliminate 0.72% : 0.000001s : 5: predicate.switch_call_monad_eliminater 1.55% : 0.000002s : 12: predicate.switch_defer_inline 1.62% : 0.000002s : 12: predicate.switch_layer_defer_inline 5.37% : 0.000007s : 32: predicate.switch_simplify 1.19% : 0.000001s : 11: predicate.tile_eliminate 1.25% : 0.000002s : 11: predicate.transpose_eliminate 1.48% : 0.000002s : 11: predicate.tuple_list_convert_item_index_to_positive 1.26% : 0.000002s : 11: predicate.tuple_list_get_item_depend_reorder 3.87% : 0.000005s : 21: predicate.tuple_list_get_item_eliminator 1.57% : 0.000002s : 11: predicate.tuple_list_set_item_eliminator 1.23% : 0.000002s : 11: predicate.tuple_to_list_eliminator_ 1.81% : 0.000002s : 16: predicate.updatestate_pure_node_eliminater 4.00% : 0.000005s : 26: predicate.updatestate_useless_node_eliminater 1.63% : 0.000002s : 11: predicate.value_based_eliminate 0.64% : 0.000001s : 5: predicate.virtual_view_grad_eliminate 0.87% : 0.000001s : 5: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000140 4 12.51% : 0.000018s : 1: func_graph_cloner_run.FuncGraphClonerGraph 87.49% : 0.000123s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.012942 73 0.53% : 0.000068s : 1: add_recomputation 0.80% : 0.000104s : 1: auto_monad 0.24% : 0.000031s : 1: auto_monad_reorder 2.01% : 0.000260s : 1: bootstrap 0.22% : 0.000028s : 1: cconv 0.10% : 0.000013s : 1: convert_after_rewriter 0.24% : 0.000031s : 1: cse_after_recomputation 0.07% : 0.000009s : 1: environ_conv 0.11% : 0.000014s : 1: event_method 0.04% : 0.000005s : 1: expand_dump_flag 0.03% : 0.000004s : 1: get_jit_bprop_graph 0.06% : 0.000008s : 1: graph_reusing 38.12% : 0.004934s : 1: jit_opt_a 1.66% : 0.000214s : 1: jit_opt_after_cconv 0.53% : 0.000068s : 1: jit_opt_b 3.20% : 0.000414s : 1: loop_unroll 4.01% : 0.000520s : 1: mutable_eliminate 5.52% : 0.000714s : 26: opt.transform.jit_opt_a 0.62% : 0.000080s : 4: opt.transform.jit_opt_after_cconv 0.31% : 0.000040s : 4: opt.transform.jit_opt_b 0.12% : 0.000015s : 1: opt.transform.loop_unroll_optimizer 0.13% : 0.000017s : 1: opt.transform.mutable_eliminate 0.22% : 0.000029s : 1: opt.transform.opt_after_jit_grad 0.36% : 0.000047s : 4: opt.transform.symbol_engine_opt 3.74% : 0.000484s : 1: opt_after_jit_grad 0.07% : 0.000009s : 1: order_py_execute_after_rewriter 0.03% : 0.000005s : 1: partial_unused_args_eliminate 0.03% : 0.000004s : 1: pre_auto_parallel 0.11% : 0.000015s : 1: process_offload_annotation 0.12% : 0.000016s : 1: py_interpret_to_execute 0.11% : 0.000015s : 1: py_interpret_to_execute_after_opt_a 0.15% : 0.000019s : 1: remove_dup_value 2.22% : 0.000287s : 1: renormalize.infer 1.67% : 0.000217s : 1: renormalize.specialize 0.06% : 0.000008s : 1: rewriter_after_jit_bprop_graph 1.17% : 0.000151s : 1: rewriter_after_opt_a 0.33% : 0.000042s : 1: rewriter_before_opt_a 0.73% : 0.000094s : 1: symbol_engine_optimizer 30.21% : 0.003910s : 1: type_inference [WARNING] DEVICE(169861,fffe46eb8060,python3.9):2026-01-29-17:37:55.042.546 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:65] UpdateRemoteToDevice] UpdateRemoteToDevice is not implemented yet. . [hook] pytest_runtest_teardown:test_hiar_addr_update_to_device tests/st/hyper_offload/memory_ops/test_hyper_offload_ops.py::test_hiar_addr_update_to_device,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 62.92s (0:01:02) ===================