code: def forward(self, x, return_feature_maps=False):
      conv_out = []
  
      x = self.relu1(self.bn1(self.conv1(x)))
      x = self.relu2(self.bn2(self.conv2(x)))
      x = self.relu3(self.bn3(self.conv3(x)))
      x = self.maxpool(x)
  
      x = self.layer1(x)
      conv_out.append(x)
      x = self.layer2(x)
      conv_out.append(x)
      x = self.layer3(x)
      conv_out.append(x)
      x = self.layer4(x)
      conv_out.append(x)
  
      if return_feature_maps:
          return conv_out
      return x
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from .None import seg_resnet
  from .None import seg_resnext
label_desc: Use image node_id 3 for calling the ResnetDilated obj's underlying member method code with example usage: obj.forward(x, return_feature_maps) and returns: x, conv_out