class_docstr: input 35*35*384
  output 17*17*1152
class_docstr_tok: ["input","35","*","35","*","384","output","17","*","17","*","1152"]
code: def forward(self, x):
      x_0 = self.branch_0(x)
      x_1 = self.branch_1(x)
      x_2 = self.branch_2(x)
      return torch.cat((x_0, x_1, x_2), 1)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the ReductionA obj's underlying member method code with example usage: obj.forward(x) and returns: torch