code: def _forward_impl(self, x):
      # See note [TorchScript super()]
      x = self.conv1(x)
      x = self.bn1(x)
      x = self.relu(x)
      x = self.maxpool(x)
  
      x = self.layer1(x)
      x = self.layer2(x)
      x = self.layer3(x)
      x = self.layer4(x)
  
      x = self.avgpool(x)
      x = torch.flatten(x, 1)
      x = self.fc(x)
  
      return x
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 3 for calling the AxialAttentionNet obj's underlying member method code with example usage: obj._forward_impl(x) and returns: x