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why with torch.no_grad() when i == 0: #46

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fido20160817 opened this issue Aug 19, 2022 · 1 comment

fido20160817 commented Aug 19, 2022

 if i == 0:
    with torch.no_grad():
        log_p, logdet, _ = model.module(
            image + torch.rand_like(image) / n_bins
        )

        continue

else:
    log_p, logdet, _ = model(image + torch.rand_like(image) / n_bins)

davitpapikyan commented Feb 24, 2023

This is for data dependent initialization of Actnorm.

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