code: def forward(self, x):
      # x -> 1x1(same)
      branch1x1 = self.branch1x1(x)
  
      # x -> 1layer 1*7 and 7*1 (same)
      branch7x7 = self.branch7x7(x)
  
      # x-> 2layer 1*7 and 7*1(same)
      branch7x7stack = self.branch7x7stack(x)
  
      # x-> avgpool (same)
      branchpool = self.branch_pool(x)
  
      outputs = [branch1x1, branch7x7, branch7x7stack, branchpool]
  
      return torch.cat(outputs, 1)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the InceptionC obj's underlying member method code with example usage: obj.forward(x) and returns: torch