probably too harsh on ninfs
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@ -697,9 +697,8 @@ class GaussianDiffusion:
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logperp = torch.log(normpdf(err, mean, var)) / self.num_timesteps + logperp
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# Remove -infs, which do happen pretty regularly (and penalize them proportionately).
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num_infs = torch.isinf(logperp).sum()
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logperp[torch.isinf(logperp)] = torch.max(logperp) * num_infs * 2
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print(f'Num infs: : {num_infs}') # probably should just log this.
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logperp[torch.isinf(logperp)] = torch.max(logperp) * 2
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print(f'Num infs: : {torch.isinf(logperp).sum()}') # probably should just log this.
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return -logperp.mean()
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def ddim_sample(
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