fix bug with @jihoonerd

dalle2_pytorch/dalle2_pytorch.py

@@ -450,7 +450,7 @@ class DiffusionPrior(nn.Module):
 
         alphas = 1. - betas
         alphas_cumprod = torch.cumprod(alphas, axis=0)
-        alphas_cumprod_prev = F.pad(alphas_cumprod[:-1], (0, 1), value = 1.)
+        alphas_cumprod_prev = F.pad(alphas_cumprod[:-1], (1, 0), value = 1.)
 
         timesteps, = betas.shape
         self.num_timesteps = int(timesteps)
@@ -941,7 +941,7 @@ class Decoder(nn.Module):
 
         alphas = 1. - betas
         alphas_cumprod = torch.cumprod(alphas, axis=0)
-        alphas_cumprod_prev = F.pad(alphas_cumprod[:-1], (0, 1), value = 1.)
+        alphas_cumprod_prev = F.pad(alphas_cumprod[:-1], (1, 0), value = 1.)
 
         timesteps, = betas.shape
         self.num_timesteps = int(timesteps)

setup.py

@@ -10,7 +10,7 @@ setup(
       'dream = dalle2_pytorch.cli:dream'
     ],
   },
-  version = '0.0.15',
+  version = '0.0.16',
   license='MIT',
   description = 'DALL-E 2',
   author = 'Phil Wang',