pytorchrnn代码实现
时间: 2023-08-14 13:06:56 浏览: 53
以下是一个使用PyTorch实现RNN的代码示例:
```python
import torch
from torch import nn
# 定义RNN模型
class RNN(nn.Module):
def __init__(self, input_size, hidden_size, num_layers, output_size):
super(RNN, self).__init__()
self.hidden_size = hidden_size
self.num_layers = num_layers
self.rnn = nn.RNN(input_size, hidden_size, num_layers, batch_first=True)
self.fc = nn.Linear(hidden_size, output_size)
def forward(self, x):
h0 = torch.zeros(self.num_layers, x.size(0), self.hidden_size).to(x.device)
out, _ = self.rnn(x, h0)
out = self.fc(out\[:, -1, :\])
return out
# 定义输入数据和超参数
input_size = 100
hidden_size = 200
num_layers = 1
output_size = 1
seq_length = 6
batch_size = 5
# 构造一个序列,长为6,batch是5,特征是100
x = torch.randn(batch_size, seq_length, input_size)
# 创建RNN模型实例
rnn = RNN(input_size, hidden_size, num_layers, output_size)
# 打印模型参数
print(rnn)
# 使用模型进行前向传播
out = rnn(x)
print(out.shape)
```
这段代码定义了一个RNN模型,其中包括一个RNN层和一个全连接层。输入数据的维度是(batch_size, seq_length, input_size),输出数据的维度是(batch_size, output_size)。在前向传播过程中,我们使用全0的隐藏状态作为初始隐藏状态,并将最后一个时间步的输出通过全连接层得到最终的输出。
#### 引用[.reference_title]
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