关于Pytorch的MLP模块实现方式

self.classifier = nn.Linear(config.hidden_size, num_labels)

self.classifier = MLP(config.hidden_size, num_labels)

  class MLP(nn.Module):
    def __init__(self, input_size, common_size):
      super(MLP, self).__init__()
      self.linear = nn.Sequential(
        nn.Linear(input_size, input_size // 2),
        nn.ReLU(inplace=True),
        nn.Linear(input_size // 2, input_size // 4),
        nn.ReLU(inplace=True),
        nn.Linear(input_size // 4, common_size)
      )
 
    def forward(self, x):
      out = self.linear(x)
      return out

mlp = MLP(1000,3)
print(mlp)