code: def __init__(self, hidden_size, attention_dim):
      super(Attention, self).__init__()
      self.hidden = hidden_size
      self.attention_dim = attention_dim
      self.hidden_weight = nn.Linear(self.hidden, self.attention_dim)
      self.attention_conv = nn.Conv2D(
          1, 512, kernel_size=11, padding=5, bias_attr=False
      )
      self.attention_weight = nn.Linear(
          512, self.attention_dim, bias_attr=False
      )
      self.alpha_convert = nn.Linear(self.attention_dim, 1)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle.nn
  import paddle
  import math
label_desc: Use image node_id 1 to create a new Attention object from inherited base classes: nn with example: obj = Attention(hidden_size, attention_dim)