| 54 | |
| 55 | |
| 56 | class Blur(nn.Module): |
| 57 | def __init__(self, kernel, pad, upsample_factor=1): |
| 58 | super().__init__() |
| 59 | |
| 60 | kernel = make_kernel(kernel) |
| 61 | |
| 62 | if upsample_factor > 1: |
| 63 | kernel = kernel * (upsample_factor ** 2) |
| 64 | |
| 65 | self.register_buffer('kernel', kernel) |
| 66 | |
| 67 | self.pad = pad |
| 68 | |
| 69 | def forward(self, input): |
| 70 | return upfirdn2d(input, self.kernel, pad=self.pad) |
| 71 | |
| 72 | |
| 73 | class ScaledLeakyReLU(nn.Module): |