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Why the log_abs_det_jacobian for _TTransform is ((x.shape[-1] - 3) / 2) * torch.log(torch.clamp(1 - t ** 2, _EPS))?
I derived the log_abs_det_jacobian, and found that is ((x.shape[-1] - 1) / 2) * torch.log(torch.clamp(1 - t ** 2, _EPS)).
I don't know what the problem is.
The text was updated successfully, but these errors were encountered:
Why the
log_abs_det_jacobian
for _TTransform is((x.shape[-1] - 3) / 2) * torch.log(torch.clamp(1 - t ** 2, _EPS))
?I derived the
log_abs_det_jacobian
, and found that is((x.shape[-1] - 1) / 2) * torch.log(torch.clamp(1 - t ** 2, _EPS))
.I don't know what the problem is.
The text was updated successfully, but these errors were encountered: