class_docstr: input 17*17*1152
  ouput 8*8*2144
class_docstr_tok: ["input","17","*","17","*","1152","ouput","8","*","8","*","2144"]
code: def forward(self, x):
      x_0 = self.branch_0(x)
      x_1 = self.branch_1(x)
      x_2 = self.branch_2(x)
      x_3 = self.branch_3(x)
      return torch.cat((x_0, x_1, x_2, x_3), 1)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the ReductionB obj's underlying member method code with example usage: obj.forward(x) and returns: torch