| 163 | |
| 164 | class AttnBlock(nn.Module): |
| 165 | def __init__(self, in_channels, zq_ch=None, add_conv=False): |
| 166 | super().__init__() |
| 167 | self.in_channels = in_channels |
| 168 | |
| 169 | self.norm = Normalize(in_channels, zq_ch, add_conv=add_conv) |
| 170 | self.q = torch.nn.Conv2d(in_channels, in_channels, kernel_size=1, stride=1, padding=0) |
| 171 | self.k = torch.nn.Conv2d(in_channels, in_channels, kernel_size=1, stride=1, padding=0) |
| 172 | self.v = torch.nn.Conv2d(in_channels, in_channels, kernel_size=1, stride=1, padding=0) |
| 173 | self.proj_out = torch.nn.Conv2d(in_channels, in_channels, kernel_size=1, stride=1, padding=0) |
| 174 | |
| 175 | def forward(self, x, zq): |
| 176 | h_ = x |