| 143 | |
| 144 | class DownSample3D(nn.Module): |
| 145 | def __init__(self, in_channels, with_conv, compress_time=False, out_channels=None): |
| 146 | super().__init__() |
| 147 | self.with_conv = with_conv |
| 148 | if out_channels is None: |
| 149 | out_channels = in_channels |
| 150 | if self.with_conv: |
| 151 | # no asymmetric padding in torch conv, must do it ourselves |
| 152 | self.conv = torch.nn.Conv2d(in_channels, out_channels, kernel_size=3, stride=2, padding=0) |
| 153 | self.compress_time = compress_time |
| 154 | |
| 155 | def forward(self, x): |
| 156 | if self.compress_time: |