CondVAEModel.decode
- CondVAEModel.decode(y: ndarray | torch.Tensor, z: ndarray | torch.Tensor | None = None) torch.Tensor [source]
Decode the latent representation into the original data space.
- Parameters:
y (torch.Tensor) – The conditional data.
z (Union[np.ndarray, torch.Tensor]) – The latent representation to decode. If None, a latent representation is sampled from a normal distribution.
- Returns:
torch.Tensor – A tensor containing the reconstructed (generated) data.