生成一个bilstm的pytorch代码
时间: 2023-02-28 12:40:44 浏览: 80
下面是一个使用 PyTorch 实现的 BiLSTM 的代码示例:
```
import torch
import torch.nn as nn
class BiLSTM(nn.Module):
def __init__(self, input_size, hidden_size, num_layers, num_classes):
super(BiLSTM, self).__init__()
self.hidden_size = hidden_size
self.num_layers = num_layers
self.lstm = nn.LSTM(input_size, hidden_size, num_layers, batch_first=True, bidirectional=True)
self.fc = nn.Linear(hidden_size*2, num_classes)
def forward(self, x):
h0 = torch.zeros(self.num_layers*2, x.size(0), self.hidden_size).to(device)
c0 = torch.zeros(self.num_layers*2, x.size(0), self.hidden_size).to(device)
out, _ = self.lstm(x, (h0, c0))
out = self.fc(out[:, -1, :])
return out
```
该代码实现了一个 BiLSTM 模型,其中 `input_size` 表示每个时间步的输入维数,`hidden_size` 表示 LSTM 隐藏层的大小,`num_layers` 表示 LSTM 层数,`num_classes` 表示分类的类别数。