code: def forward(self, img_feature):
      n, c, h, w = img_feature.size()
  
      rnn_input = img_feature.permute(0, 2, 3, 1).contiguous()
      rnn_input = rnn_input.view(n * h, w, c)
      rnn_output, _ = self.rnn(rnn_input)
      rnn_output = rnn_output.view(n, h, w, c)
      rnn_output = rnn_output.permute(0, 3, 1, 2).contiguous()
  
      out = self.mixer(rnn_output)
  
      return out
  
imports: import torch.nn
label_desc: Use image node_id 2 for calling the PositionAwareLayer obj's underlying member method code with example usage: obj.forward(img_feature) and returns: out