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cleanup in preparation of option for learned variance

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Phil Wang
2022-05-12 12:04:52 -07:00
parent 924455d97d
commit 28b58e568c
1 changed files with 0 additions and 6 deletions
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dalle2_pytorch/dalle2_pytorch.py
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@@ -398,12 +398,6 @@ class BaseGaussianDiffusion(nn.Module):
register_buffer('posterior_mean_coef1', betas * torch.sqrt(alphas_cumprod_prev) / (1. - alphas_cumprod))
register_buffer('posterior_mean_coef2', (1. - alphas_cumprod_prev) * torch.sqrt(alphas) / (1. - alphas_cumprod))
def q_mean_variance(self, x_start, t):
mean = extract(self.sqrt_alphas_cumprod, t, x_start.shape) * x_start
variance = extract(1. - self.alphas_cumprod, t, x_start.shape)
log_variance = extract(self.log_one_minus_alphas_cumprod, t, x_start.shape)
return mean, variance, log_variance
def q_posterior(self, x_start, x_t, t):
posterior_mean = (
extract(self.posterior_mean_coef1, t, x_t.shape) * x_start +