code: def forward(self, x):
      residual = x[:, :, 4:-4, 4:-4, 4:-4]
      x = self.conv1(x)
      x = self.bn1(x)
      x = self.relu(x)
  
      x = self.conv2(x)
      x = self.bn2(x)
  
      if self.downsample is not None:
          residual = self.downsample(residual)
  
      x += residual
      x = self.relu(x)
      return x
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the BasicBlock obj's underlying member method code with example usage: obj.forward(x) and returns: x