请写出用于语音增强的DPRNN网络的Python代码

import torch
from torch import nnclass DPRNN(nn.Module):
def __init__(self, input_dim, hidden_dim, output_dim, num_layers=2):
super(DPRNN, self).__init__()
self.num_layers = num_layers
self.input_dim = input_dim
self.hidden_dim = hidden_dim
self.output_dim = output_dim #RNN and Linear modules
self.rnns = nn.ModuleList()
self.linear = nn.ModuleList()
for i in range(num_layers):
self.rnns.append(nn.GRU(input_dim, hidden_dim, batch_first=True))
self.linear.append(nn.Linear(hidden_dim, output_dim)) def forward(self, x):
#RNN forward pass
out = x
for i in range(self.num_layers):
out, _ = self.rnns[i](out)
out = self.linear[i](out)
return out