class_docstr: resnet block contains inception
class_docstr_tok: ["resnet","block","contains","inception"]
code: def forward(self, x):
      # x = self.Conv0(x)
      x1 = self.act(self.Conv1(x))
      x2 = self.act(self.Conv2(x))
      x3 = self.act(self.Conv3(x))
      x = torch.cat([x1, x2, x3], dim=1)
      return self.act(self.bn(self.Conv_f(x)))
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the Conv_transition obj's underlying member method code with example usage: obj.forward(x) and returns: self