class_docstr: input 8*8*2144
  output 8*8*2144
class_docstr_tok: ["input","8","*","8","*","2144","output","8","*","8","*","2144"]
code: def forward(self, x):
      x = self.relu(x)
      x_0 = self.branch_0(x)
      x_1 = self.branch_1(x)
      x_new = torch.cat((x_0, x_1), 1)
      x_new = self.branch_all(x_new)
      x = x + x_new * self.scale
      return x
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the InceptionResC obj's underlying member method code with example usage: obj.forward(x) and returns: x