From 9939a481390d9223d607b7a09fd01a292494702f Mon Sep 17 00:00:00 2001 From: Phil Wang Date: Thu, 23 Jun 2022 12:28:09 -0700 Subject: [PATCH] make sure all versions of torch supported --- .../continuous_time_gaussian_diffusion.py | 3 ++- denoising_diffusion_pytorch/denoising_diffusion_pytorch.py | 2 +- setup.py | 2 +- 3 files changed, 4 insertions(+), 3 deletions(-) diff --git a/denoising_diffusion_pytorch/continuous_time_gaussian_diffusion.py b/denoising_diffusion_pytorch/continuous_time_gaussian_diffusion.py index fc45bd769..8fca9c51e 100644 --- a/denoising_diffusion_pytorch/continuous_time_gaussian_diffusion.py +++ b/denoising_diffusion_pytorch/continuous_time_gaussian_diffusion.py @@ -1,3 +1,4 @@ +import math import torch from torch import sqrt from torch import nn, einsum @@ -66,7 +67,7 @@ def beta_linear_log_snr(t): return -log(expm1(1e-4 + 10 * (t ** 2))) def alpha_cosine_log_snr(t, s = 0.008): - return -log((torch.cos((t + s) / (1 + s) * torch.pi * 0.5) ** -2) - 1, eps = 1e-5) + return -log((torch.cos((t + s) / (1 + s) * math.pi * 0.5) ** -2) - 1, eps = 1e-5) class learned_noise_schedule(nn.Module): """ described in section H and then I.2 of the supplementary material for variational ddpm paper """ diff --git a/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py b/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py index 3bb543511..e2032d740 100644 --- a/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py +++ b/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py @@ -355,7 +355,7 @@ def cosine_beta_schedule(timesteps, s = 0.008): """ steps = timesteps + 1 x = torch.linspace(0, timesteps, steps, dtype = torch.float64) - alphas_cumprod = torch.cos(((x / timesteps) + s) / (1 + s) * torch.pi * 0.5) ** 2 + alphas_cumprod = torch.cos(((x / timesteps) + s) / (1 + s) * math.pi * 0.5) ** 2 alphas_cumprod = alphas_cumprod / alphas_cumprod[0] betas = 1 - (alphas_cumprod[1:] / alphas_cumprod[:-1]) return torch.clip(betas, 0, 0.999) diff --git a/setup.py b/setup.py index dbf3bc618..525c0dc08 100644 --- a/setup.py +++ b/setup.py @@ -3,7 +3,7 @@ setup( name = 'denoising-diffusion-pytorch', packages = find_packages(), - version = '0.21.1', + version = '0.21.2', license='MIT', description = 'Denoising Diffusion Probabilistic Models - Pytorch', author = 'Phil Wang',