code: def forward(self, input: Tensor) -> Tensor:
      if self.apply_residual:
          return self.layers(input) + input
      else:
          return self.layers(input)
  
imports: import warnings
  from functools import partial
  from typing import Any, Dict, List, Optional
  import torch
  import torch.nn
  from torch import Tensor
  from ..transforms._presets import ImageClassification
  from ..utils import _log_api_usage_once
  from ._api import register_model, Weights, WeightsEnum
  from ._meta import _IMAGENET_CATEGORIES
  from ._utils import _ovewrite_named_param, handle_legacy_interface
label_desc: Use image node_id 2 for calling the _InvertedResidual obj's underlying member method code with example usage: obj.forward(input) and returns: unknown, self