models/fs_model.py

@@ -48,7 +48,13 @@ class fsModel(BaseModel):
             torch.backends.cudnn.benchmark = True
         self.isTrain = opt.isTrain
 
-        device = torch.device("cuda:0")
+          if not torch.backends.mps.is_available():
+           if not torch.backends.mps.is_built():
+             device = torch.device("cuda:0")
+           else:
+             print("ERROR")
+        else:
+          device = torch.device("mps")
 
         if opt.crop_size == 224:
             from .fs_networks import Generator_Adain_Upsample, Discriminator