我需要一段python代码，基于pytorch框架在一维cnn中添加注意力机制

我可以为你提供一段python代码，它基于pytorch框架，在一维CNN中添加注意力机制：import torch
import torch.nn as nnclass Attention1D(nn.Module):
def __init__(self, in_channels, out_channels):
super(Attention1D, self).__init__()
self.in_channels = in_channels
self.out_channels = out_channels
self.query = nn.Conv1d(in_channels, out_channels, kernel_size=1, stride=1, padding=0)
self.key = nn.Conv1d(in_channels, out_channels, kernel_size=1, stride=1, padding=0)
self.value = nn.Conv1d(in_channels, out_channels, kernel_size=1, stride=1, padding=0)
self.softmax = nn.Softmax(dim=-1)
self.gamma = nn.Parameter(torch.zeros(1)) def forward(self, x):
query = self.query(x)
key = self.key(x)
value = self.value(x)
energy = torch.bmm(query.permute(0, 2, 1), key)
attention = self.softmax(energy)
out = torch.bmm(value.permute(0,2,1), attention).permute(0,2,1)
out = self.gamma * out + x
return out