code: def __init__(self, module: nn.Module):
      super().__init__()
      self.module = module
  
imports: from __future__ import annotations
  import functools
  import logging
  import tempfile
  from typing import Any, Iterable
  import torch
  from torch import nn
  from nn_meter import load_latency_predictor, nnMeterPredictor
  from nni.mutable import Mutable, MutableList, LabeledMutable, Sample, MutableExpression
  from nni.nas.nn.pytorch import ModelSpace, MutableModule, LayerChoice, Repeat
  from nni.nas.profiler import ExpressionProfiler
  from .utils import MutableShape, ShapeTensor, standardize_arguments, submodule_input_output_shapes, is_leaf_module, concat_name
label_desc: Use image node_id 1 to create a new _mutable_module_wrapper object from inherited base classes: MutableModule with example: obj = _mutable_module_wrapper(module)