fix self conditioning shape in diffusion prior

dalle2_pytorch/dalle2_pytorch.py

@@ -1287,7 +1287,7 @@ class DiffusionPrior(nn.Module):
         image_embed_noisy = self.noise_scheduler.q_sample(x_start = image_embed, t = times, noise = noise)
 
         self_cond = None
-        if self.net.self_cond and random.random() < 1.5:
+        if self.net.self_cond and random.random() < 0.5:
             with torch.no_grad():
                 self_cond = self.net(image_embed_noisy, times, **text_cond).detach()
 

dalle2_pytorch/version.py

@@ -1 +1 @@
-__version__ = '1.6.2'
+__version__ = '1.6.3'