注意力机制加GRU进行时序预测具体实例代码
时间: 2023-05-19 19:04:32 浏览: 75
以下是一个使用注意力机制和GRU进行时序预测的具体实例代码:
```python
import torch
import torch.nn as nn
import torch.optim as optim
class AttentionGRU(nn.Module):
def __init__(self, input_size, hidden_size, output_size):
super(AttentionGRU, self).__init__()
self.hidden_size = hidden_size
self.gru = nn.GRU(input_size, hidden_size)
self.attention = nn.Linear(hidden_size, 1)
self.out = nn.Linear(hidden_size, output_size)
def forward(self, input):
hidden = torch.zeros(1, 1, self.hidden_size)
for i in range(input.size()[0]):
output, hidden = self.gru(input[i].view(1, 1, -1), hidden)
attention_weights = torch.softmax(self.attention(hidden), dim=1)
context_vector = attention_weights * hidden
output = self.out(context_vector)
return output
# Example usage
model = AttentionGRU(input_size=10, hidden_size=20, output_size=1)
criterion = nn.MSELoss()
optimizer = optim.Adam(model.parameters(), lr=0.001)
# Train the model
for epoch in range(100):
optimizer.zero_grad()
input = torch.randn(5, 1, 10)
target = torch.randn(1)
output = model(input)
loss = criterion(output, target)
loss.backward()
optimizer.step()
# Use the model for prediction
input = torch.randn(5, 1, 10)
output = model(input)
print(output)
```
希望这个代码能够帮助你理解如何使用注意力机制和GRU进行时序预测。
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