code: def forward(self, x):
      # x -> 1x1(same)
      branch1x1 = self.branch1x1(x)
  
      # x -> 1x1 -> 5x5(same)
      branch5x5 = self.branch5x5(x)
      # branch5x5 = self.branch5x5_2(branch5x5)
  
      # x -> 1x1 -> 3x3 -> 3x3(same)
      branch3x3 = self.branch3x3(x)
  
      # x -> pool -> 1x1(same)
      branchpool = self.branchpool(x)
  
      outputs = [branch1x1, branch5x5, branch3x3, branchpool]
  
      return torch.cat(outputs, 1)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the InceptionA obj's underlying member method code with example usage: obj.forward(x) and returns: torch