code: def __init__(self, in_channels, out_channels, hidden_size, **kwargs):
      super(AttentionHead, self).__init__()
      self.input_size = in_channels
      self.hidden_size = hidden_size
      self.num_classes = out_channels
  
      self.attention_cell = AttentionGRUCell(
          in_channels, hidden_size, out_channels, use_gru=False
      )
      self.generator = nn.Linear(hidden_size, out_channels)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import numpy
label_desc: Use image node_id 1 to create a new AttentionHead object from inherited base classes: nn with example: obj = AttentionHead(in_channels, out_channels, hidden_size)