写一个完整LSTM预测室外温湿度和光照度的pytorch程序

我可以提供一个示例程序供参考：import torch
from torch import nn
import torch.nn.functional as F # 定义LSTM模型
class LSTM_Model(nn.Module):
def __init__(self, input_size, hidden_size, output_size):
super(LSTM_Model, self).__init__()
self.hidden_size = hidden_size # 隐藏层的大小
self.lstm = nn.LSTM(input_size, hidden_size)
self.linear = nn.Linear(hidden_size, output_size)

def forward(self, x):
# 初始化隐藏层的数据
h0 = torch.zeros(1, x.size(1), self.hidden_size)
c0 = torch.zeros(1, x.size(1), self.hidden_size)
# 通过LSTM层
out, _ = self.lstm(x, (h0, c0))
# 把最后一个时间步的LSTM输出作为输出
out = self.linear(out[-1,:,:])
return out# 初始化参数
input_size = 3
hidden_size = 4
output_size = 3
# 实例化模型
model = LSTM_Model(input_size, hidden_size, output_size)
#输入数据
x = torch.randn(5, 8, input_size)
# 计算结果
result = model(x)
print(result)