| 159 | |
| 160 | class Upsample2D(nn.Module): |
| 161 | def __init__(self, |
| 162 | channels, |
| 163 | use_conv=False, |
| 164 | use_conv_transpose=False, |
| 165 | out_channels=None): |
| 166 | super().__init__() |
| 167 | self.channels = channels |
| 168 | self.out_channels = out_channels or channels |
| 169 | self.use_conv = use_conv |
| 170 | self.use_conv_transpose = use_conv_transpose |
| 171 | |
| 172 | if use_conv: |
| 173 | self.conv = nn.Conv2d(self.channels, self.out_channels, 3, padding=1) |
| 174 | else: |
| 175 | assert "Not Supported" |
| 176 | self.conv = nn.ConvTranspose2d(channels, self.out_channels, 4, 2, 1) |
| 177 | |
| 178 | def forward(self, x, output_size=None): |
| 179 | assert x.shape[-1] == self.channels |