Comments (1)
Actually, the origin code won't get in the branch. Because this time vae is ddp model. Correct code should be below.
if hasattr(vae.module, 'get_codebook_indices'):
code = vae.module.get_codebook_indices(mask)
remask = vae.module.decode(code)[0, 0, :, :].cpu().numpy()
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Related Issues (14)
- Training time
- RuntimeError: The size of tensor a (256) must match the size of tensor b (225) at non-singleton dimension 1 HOT 6
- There is a bug in dataset maybe. Might cause over-fitting maybe. HOT 2
- a
- Swin-S and Swin-Ti weights HOT 1
- Some problem with visualizing the depth of pred and gt.
- 'PublicAccessNotPermitted' when download the checkpoints HOT 3
- Small typo
- Unable to evaluate the results
- train/visualize on single GPU HOT 1
- Error(s) in loading state_dict for VQVAE
- Single Image Inference
- Ask for models and data
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