帮我用pytorch写一个lstm代码

很高兴为你回答这个问题。这是一个简单的LSTM代码示例，你可以参考它： import torch
import torch.nn as nnclass LSTM(nn.Module):
def __init__(self, input_size, hidden_size,output_size):
super(LSTM, self).__init__()
self.hidden_size = hidden_size
self.lstm = nn.LSTM(input_size, hidden_size)
self.fc = nn.Linear(hidden_size, output_size)

def forward(self, input):
# Set an initial hidden state
h0 = torch.zeros(1, 1, self.hidden_size)
c0 = torch.zeros(1, 1, self.hidden_size)

# Forward propagate the LSTM
out, _ = self.lstm(input, (h0, c0))

# Pass through a linear layer
out = self.fc(out)

return out