(
self,
channels,
use_conv=False,
use_conv_transpose=False,
out_channels=None,
name="conv",
)
| 28 | |
| 29 | class Upsample3D(nn.Module): |
| 30 | def __init__( |
| 31 | self, |
| 32 | channels, |
| 33 | use_conv=False, |
| 34 | use_conv_transpose=False, |
| 35 | out_channels=None, |
| 36 | name="conv", |
| 37 | ): |
| 38 | super().__init__() |
| 39 | self.channels = channels |
| 40 | self.out_channels = out_channels or channels |
| 41 | self.use_conv = use_conv |
| 42 | self.use_conv_transpose = use_conv_transpose |
| 43 | self.name = name |
| 44 | |
| 45 | conv = None |
| 46 | if use_conv_transpose: |
| 47 | raise NotImplementedError |
| 48 | elif use_conv: |
| 49 | self.conv = InflatedConv3d(self.channels, self.out_channels, 3, padding=1) |
| 50 | |
| 51 | def forward(self, hidden_states, output_size=None): |
| 52 | assert hidden_states.shape[1] == self.channels |
no test coverage detected