pytorch建gru

以下是使用PyTorch建立GRU模型的示例代码：

import torch
import torch.nn as nn

class GRU(nn.Module):
    def __init__(self, input_size, hidden_size, num_layers):
        super(GRU, self).__init__()
        self.hidden_size = hidden_size
        self.num_layers = num_layers
        self.gru = nn.GRU(input_size, hidden_size, num_layers, batch_first=True)

    def forward(self, x):
        h0 = torch.zeros(self.num_layers, x.size(0), self.hidden_size).to(x.device)
        out, _ = self.gru(x, h0)
        return out

# 创建GRU模型实例
input_size = 10
hidden_size = 20
num_layers = 2
gru_model = GRU(input_size, hidden_size, num_layers)

# 输入数据
batch_size = 3
seq_length = 5
input_data = torch.randn(batch_size, seq_length, input_size)

# 前向传播
output = gru_model(input_data)

print(output.shape)  # 输出：torch.Size([3, 5, 20])