Method forward

sat/sgm/models/autoencoder.py:221–224

(self, x: torch.Tensor, **additional_decode_kwargs)

        return x

    def forward(self, x: torch.Tensor, **additional_decode_kwargs) -> Tuple[torch.Tensor, torch.Tensor, dict]:
        z, reg_log = self.encode(x, return_reg_log=True)
        dec = self.decode(z, **additional_decode_kwargs)
        return z, dec, reg_log

    def inner_training_step(self, batch: dict, batch_idx: int, optimizer_idx: int = 0) -> torch.Tensor:
        x = self.get_input(batch)