使用python3.7 torch 写一个RNN多对一模型

我可以给你一个示例，你可以参考它来构建你的RNN多对一模型：import torch
import torch.nn as nn class RNNModel(nn.Module):
def __init__(self, input_dim, hidden_dim, layer_dim, output_dim):
super(RNNModel, self).__init__()
# 隐藏层的维度
self.hidden_dim = hidden_dim

# 层数
self.layer_dim = layer_dim

# RNN
self.rnn = nn.RNN(input_dim, hidden_dim, layer_dim, batch_first=True, nonlinearity='relu')

# 输出层
self.fc = nn.Linear(hidden_dim, output_dim)

def forward(self, x):
# 初始化隐藏层的值
h0 = torch.zeros(self.layer_dim, x.size(0), self.hidden_dim).requires_grad_()

# 传递序列的信息
out, hn = self.rnn(x, h0)

# 返回输出层的输出
out = self.fc(out[:, -1, :])
return out