code: def __init__(self, n_head, hidden_size, attn_dropout, act_dropout):
      super(Plato2EncoderLayer, self).__init__()
  
      self.self_attn = nn.MultiHeadAttention(
          hidden_size, n_head, attn_dropout
      )
      self.pre_norm_layer = nn.LayerNorm(hidden_size)
      self.post_norm_layer = nn.LayerNorm(hidden_size)
      self.fc1 = nn.Linear(hidden_size, hidden_size * 4)
      self.fc2 = nn.Linear(hidden_size * 4, hidden_size)
  
      self.dropout_layer = nn.Dropout(act_dropout)
      self.gelu_layer = nn.GELU()
  
imports: from collections import namedtuple
  import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 1 to create a new Plato2EncoderLayer object from inherited base classes: nn with example: obj = Plato2EncoderLayer(n_head, hidden_size, attn_dropout, act_dropout)