Method encode

sat/sgm/models/autoencoder.py:202–215

(
        self,
        x: torch.Tensor,
        return_reg_log: bool = False,
        unregularized: bool = False,
        **kwargs,
    )

        return self.decoder.get_last_layer()

    def encode(
        self,
        x: torch.Tensor,
        return_reg_log: bool = False,
        unregularized: bool = False,
        **kwargs,
    ) -> Union[torch.Tensor, Tuple[torch.Tensor, dict]]:
        z = self.encoder(x, **kwargs)
        if unregularized:
            return z, dict()
        z, reg_log = self.regularization(z)
        if return_reg_log:
            return z, reg_log
        return z

    def decode(self, z: torch.Tensor, **kwargs) -> torch.Tensor:
        x = self.decoder(z, **kwargs)