Apply the block to a Tensor, conditioned on a timestep embedding. :param x: an [N x C x ...] Tensor of features. :param emb: an [N x emb_channels] Tensor of timestep embeddings. :return: an [N x C x ...] Tensor of outputs.
(self, x, emb)
| 222 | self.skip_connection = conv_nd(dims, channels, self.out_channels, 1) |
| 223 | |
| 224 | def forward(self, x, emb): |
| 225 | """ |
| 226 | Apply the block to a Tensor, conditioned on a timestep embedding. |
| 227 | |
| 228 | :param x: an [N x C x ...] Tensor of features. |
| 229 | :param emb: an [N x emb_channels] Tensor of timestep embeddings. |
| 230 | :return: an [N x C x ...] Tensor of outputs. |
| 231 | """ |
| 232 | return checkpoint( |
| 233 | self._forward, (x, emb), self.parameters(), self.use_checkpoint |
| 234 | ) |
| 235 | |
| 236 | def _forward(self, x, emb): |
| 237 | if self.updown: |
nothing calls this directly
no test coverage detected