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I noticed that in this implementation, the setting for dt is dt = torch.tensor(1 / (N), dtype=Y_t.dtype, device=device), rather than sigmas[i] - sigmas[i+1]. Could you kindly explain if there is a specific reason for this choice?
Thank you in advance!
The text was updated successfully, but these errors were encountered:
Hi, great work!
I noticed that in this implementation, the setting for
dt
isdt = torch.tensor(1 / (N), dtype=Y_t.dtype, device=device)
, rather thansigmas[i] - sigmas[i+1]
. Could you kindly explain if there is a specific reason for this choice?Thank you in advance!
The text was updated successfully, but these errors were encountered: