scglue.models.sc.DataDecoder.forward

abstract DataDecoder.forward(u, v, b, l)

Decode data from sample and feature latent

Parameters:

• u (torch.Tensor) – Sample latent

• v (torch.Tensor) – Feature latent

• b (torch.Tensor) – Batch index

• l (typing.Optional[torch.Tensor]) – Optional normalizer

Return type:

torch.distributions.normal.Normal

Returns:

recon – Data reconstruction distribution