lucasrelic99

You can simply add the following line before the call to `model.render()` in the Decode section: `sampled_xT = torch.normal(0,1,size=xT.shape, device=device)` Then, when rendering the image use: `pred = model.render(sampled_xT, cond,...

To be fair I don't actually know which is the earliest torch version that supports meta device tensors as I couldn't find any solid information. Although I think the simpler...