code: def forward(self, x):
      out = self.conv(x)
      out = self.bn(out)
      out = self.relu(out)
      out = self.layer1(out)
      out = self.layer2(out)
      out = self.layer3(out)
      out = self.avg_pool(out)
      out = out.view(out.size(0), -1)
      out = self.fc(out)
      return out
  
file_path: pytorch-tutorial/tutorials/02-intermediate/deep_residual_network/main.py
imports: import torch
  import torch.nn
  import torchvision
  import torchvision.transforms
label_desc: Use image node_id 3 for calling the ResNet obj's underlying member method code with example usage: obj.forward(x) and returns: out