code: def forward(self, x):
      if self.start_index == 2:
          readout = (x[:, 0] + x[:, 1]) / 2
      else:
          readout = x[:, 0]
      return x[:, self.start_index :] + readout.unsqueeze(1)
  
imports: import math
  import types
  import timm
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the AddReadout obj's underlying member method code with example usage: obj.forward(x) and returns: unknown