code: def forward(self, x):
      # x -> 1x1 -> 3x3(downsample)
      branch3x3 = self.branch3x3(x)
  
      # x -> 1x1 -> 1x7 -> 7x1 -> 3x3 (downsample)
      branch7x7 = self.branch7x7(x)
  
      # x -> avgpool (downsample)
      branchpool = self.branchpool(x)
  
      outputs = [branch3x3, branch7x7, branchpool]
  
      return torch.cat(outputs, 1)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the InceptionD obj's underlying member method code with example usage: obj.forward(x) and returns: torch