hf cuda issue

app.py

@@ -852,9 +852,11 @@ def sample_inpaint(
         jump_length=jump_length,
         jump_n_sample=jump_n_sample,
     ).chunk(2)
+    print("inpaint loop finished")
     sampled_images = autoencoder.decode(samples / opts.latent_scaling_factor)
     sampled_images = torch.clamp(sampled_images, min=-1.0, max=1.0)
     sampled_images = unnormalize(sampled_images.permute(0, 2, 3, 1).cpu().numpy())
+    print("inpaint decode finished")
 
     # visualize
     results = []