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latens are random initialization at test time, but when training, how to prepare latens so that it has the same dimension as mask_latens? Is it the same as mask below? latent = torch.cat([latent, torch.zeros_like(latent)], dim=concat_dim)
The text was updated successfully, but these errors were encountered:
latens are random initialization at test time, but when training, how to prepare latens so that it has the same dimension as mask_latens? Is it the same as mask below?
latent = torch.cat([latent, torch.zeros_like(latent)], dim=concat_dim)
The text was updated successfully, but these errors were encountered: