add gpu selector flag to example python scripts

app_svc.py

@@ -11,9 +11,9 @@
 from pydub import AudioSegment
 import argparse
 # Load model and configuration
-device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 fp16 = False
+device = None
 def load_models(args):
     global sr, hop_length, fp16
     fp16 = args.fp16
@@ -433,5 +433,8 @@ def main(args):
     parser.add_argument("--config-path", type=str, help="Path to the config file", default=None)
     parser.add_argument("--share", type=str2bool, nargs="?", const=True, default=False, help="Whether to share the app")
     parser.add_argument("--fp16", type=str2bool, nargs="?", const=True, help="Whether to use fp16", default=True)
+    parser.add_argument("--gpu", type=int, help="Which GPU id to use", default=0)
     args = parser.parse_args()
+    cuda_target = f"cuda:{args.gpu}" if args.gpu else "cuda" 
+    device = torch.device(cuda_target if torch.cuda.is_available() else "cpu")
     main(args)

app_vc.py

@@ -12,8 +12,8 @@
 import argparse
 
 # Load model and configuration
-device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 fp16 = False
+device = None
 def load_models(args):
     global sr, hop_length, fp16
     fp16 = args.fp16
@@ -386,5 +386,8 @@ def main(args):
     parser.add_argument("--config-path", type=str, help="Path to the config file", default=None)
     parser.add_argument("--share", type=str2bool, nargs="?", const=True, default=False, help="Whether to share the app")
     parser.add_argument("--fp16", type=str2bool, nargs="?", const=True, help="Whether to use fp16", default=True)
+    parser.add_argument("--gpu", type=int, help="Which GPU id to use", default=0)
     args = parser.parse_args()
-    main(args)
+    cuda_target = f"cuda:{args.gpu}" if args.gpu else "cuda" 
+    device = torch.device(cuda_target if torch.cuda.is_available() else "cpu")
+    main(args)

real-time-gui.py

@@ -30,7 +30,7 @@
 import torch
 from modules.commons import str2bool
 # Load model and configuration
-device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+device = None
 
 flag_vc = False
 
@@ -328,7 +328,7 @@ def printt(strr, *args):
 
 class Config:
     def __init__(self):
-        self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+        self.device = device
 
 
 if __name__ == "__main__":
@@ -1137,5 +1137,8 @@ def get_device_channels(self):
     parser.add_argument("--checkpoint-path", type=str, default=None, help="Path to the model checkpoint")
     parser.add_argument("--config-path", type=str, default=None, help="Path to the vocoder checkpoint")
     parser.add_argument("--fp16", type=str2bool, nargs="?", const=True, help="Whether to use fp16", default=True)
+    parser.add_argument("--gpu", type=int, help="Which GPU id to use", default=0)
     args = parser.parse_args()
+    cuda_target = f"cuda:{args.gpu}" if args.gpu else "cuda" 
+    device = torch.device(cuda_target if torch.cuda.is_available() else "cpu")
     gui = GUI(args)

train.py

@@ -18,7 +18,6 @@
 
 
 
-
 class Trainer:
     def __init__(self,
                  config_path,
@@ -385,6 +384,7 @@ def main(args):
         max_epochs=args.max_epochs,
         save_interval=args.save_every,
         num_workers=args.num_workers,
+        device=args.device
     )
     trainer.train()
 
@@ -399,5 +399,7 @@ def main(args):
     parser.add_argument('--max-epochs', type=int, default=1000)
     parser.add_argument('--save-every', type=int, default=500)
     parser.add_argument('--num-workers', type=int, default=0)
+    parser.add_argument("--gpu", type=int, help="Which GPU id to use", default=0)
     args = parser.parse_args()
+    args.device = f"cuda:{args.gpu}" if args.gpu else "cuda:0" 
     main(args)