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import torch
# "Fake" VAE that converts from IMAGE B, H, W, C and values on the scale of 0..1
# to LATENT B, C, H, W and values on the scale of -1..1.
class PixelspaceConversionVAE(torch.nn.Module):
def __init__(self):
super().__init__()
self.pixel_space_vae = torch.nn.Parameter(torch.tensor(1.0))
def encode(self, pixels: torch.Tensor, *_args, **_kwargs) -> torch.Tensor:
return pixels
def decode(self, samples: torch.Tensor, *_args, **_kwargs) -> torch.Tensor:
return samples
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