(self, x: torch.Tensor, **additional_decode_kwargs)
| 234 | return x |
| 235 | |
| 236 | def forward(self, x: torch.Tensor, **additional_decode_kwargs) -> Tuple[torch.Tensor, torch.Tensor, dict]: |
| 237 | z, reg_log = self.encode(x, return_reg_log=True) |
| 238 | dec = self.decode(z, **additional_decode_kwargs) |
| 239 | return z, dec, reg_log |
| 240 | |
| 241 | def inner_training_step(self, batch: dict, batch_idx: int, optimizer_idx: int = 0) -> torch.Tensor: |
| 242 | x = self.get_input(batch) |