code: def forward(self, x):
      readout = x[:, 0].unsqueeze(1).expand_as(x[:, self.start_index :])
      features = torch.cat((x[:, self.start_index :], readout), -1)
  
      return self.project(features)
  
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 ProjectReadout obj's underlying member method code with example usage: obj.forward(x) and returns: self