use cuda from argparse

run_CNN.py

@@ -60,7 +60,7 @@ class Dataset(torch.utils.data.Dataset):
 model = models.get[args.specie]['archi']
 model.load_state_dict(torch.load(f"{os.path.dirname(__file__)}/weights/{models.get[args.specie]['weights']}"))
 model.eval()
-device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+device = torch.device(f'cuda:{args.cuda}' if torch.cuda.is_available() else 'cpu')
 model.to(device)
 
 # prepare data loader and output storage for predictions