code: def forward(self, img_feature):
      n, c, h, w = img_feature.shape
      rnn_input = paddle.transpose(img_feature, (0, 2, 3, 1))
      rnn_input = paddle.reshape(rnn_input, (n * h, w, c))
      rnn_output, _ = self.rnn(rnn_input)
      rnn_output = paddle.reshape(rnn_output, (n, h, w, c))
      rnn_output = paddle.transpose(rnn_output, (0, 3, 1, 2))
      out = self.mixer(rnn_output)
      return out
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import paddle
  from paddle import ParamAttr
  import paddle.nn
  import paddle.nn.functional
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