双层bilstm源码
时间: 2023-11-27 16:05:19 浏览: 51
以下是双层BiLSTM的PyTorch源码示例:
```python
import torch
import torch.nn as nn
class BiLSTM(nn.Module):
def __init__(self, input_dim, hidden_dim, output_dim):
super(BiLSTM, self).__init__()
self.hidden_dim = hidden_dim
self.lstm = nn.LSTM(input_dim, hidden_dim // 2, num_layers=1, bidirectional=True)
self.fc = nn.Linear(hidden_dim, output_dim)
def forward(self, x):
lstm_out, _ = self.lstm(x)
out = self.fc(lstm_out[:, -1, :])
return out
class DoubleBiLSTM(nn.Module):
def __init__(self, input_dim, hidden_dim, output_dim):
super(DoubleBiLSTM, self).__init__()
self.bilstm1 = BiLSTM(input_dim, hidden_dim, hidden_dim)
self.bilstm2 = BiLSTM(hidden_dim, hidden_dim, output_dim)
def forward(self, x):
out = self.bilstm1(x)
out = self.bilstm2(out)
return out
```
这里定义了两个类,`BiLSTM`是一个单层的双向LSTM,`DoubleBiLSTM`是一个双层的双向LSTM,其中第一层的输出作为第二层的输入。在`DoubleBiLSTM`中,我们首先使用`bilstm1`对输入进行处理,然后将其输出作为`bilstm2`的输入,最终输出结果。这个模型可以用于各种序列标注任务,例如中文分词、命名实体识别等。