code: def forward(self, x: Tensor) -> Tensor:
      if self.use_res_connect:
          return x + self.conv(x)
      else:
          return self.conv(x)
  
imports: from functools import partial
  from typing import Any, Callable, List, Optional
  import torch
  from torch import nn, Tensor
  from ..ops.misc import Conv2dNormActivation
  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 _make_divisible, _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(x) and returns: unknown, self