code: def forward(self, x):
      if self.use_shortcut:
          return x + self.conv(x)
      else:
          return self.conv(x)
  
file_path: deep-learning-for-image-processing/pytorch_classification/ConfusionMatrix/model.py
imports: from torch import nn
  import torch
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