gru代码
时间: 2023-07-02 15:08:51 浏览: 72
以下是使用PyTorch实现GRU的示例代码:
```python
import torch
import torch.nn as nn
class GRU(nn.Module):
def __init__(self, input_size, hidden_size, num_layers):
super(GRU, self).__init__()
self.input_size = input_size
self.hidden_size = hidden_size
self.num_layers = num_layers
self.gru = nn.GRU(input_size, hidden_size, num_layers)
def forward(self, input, hidden):
# input shape: (seq_len, batch_size, input_size)
output, hidden = self.gru(input, hidden)
# output shape: (seq_len, batch_size, hidden_size)
# hidden shape: (num_layers, batch_size, hidden_size)
return output, hidden
def init_hidden(self, batch_size):
return torch.zeros(self.num_layers, batch_size, self.hidden_size)
```
以上代码定义了一个名为`GRU`的PyTorch模型类,其中包括了GRU的初始化函数、前向传播函数和初始化隐藏状态函数。用户可以根据自己的需求修改模型的超参数和输入输出形状。