diff --git a/TTS/bin/compute_statistics.py b/TTS/bin/compute_statistics.py
index 7642f86b..5c1796ea 100755
--- a/TTS/bin/compute_statistics.py
+++ b/TTS/bin/compute_statistics.py
@@ -19,8 +19,8 @@ def main():
         description="Compute mean and variance of spectrogtram features.")
     parser.add_argument("--config_path", type=str, required=True,
                         help="TTS config file path to define audio processin parameters.")
-    parser.add_argument("--out_path", default=None, type=str,
-                        help="directory to save the output file.")
+    parser.add_argument("--out_path", type=str, required=True
+                        help="save path (directory and filename).")
     args = parser.parse_args()
 
     # load config
diff --git a/TTS/bin/train_vocoder_wavegrad.py b/TTS/bin/train_vocoder_wavegrad.py
index 73802c63..b104652d 100644
--- a/TTS/bin/train_vocoder_wavegrad.py
+++ b/TTS/bin/train_vocoder_wavegrad.py
@@ -344,6 +344,10 @@ def main(args):  # pylint: disable=redefined-outer-name
 
     # setup criterion
     criterion = torch.nn.L1Loss().cuda()
+    
+    if use_cuda:
+        model.cuda()
+        criterion.cuda()
 
     if args.restore_path:
         checkpoint = torch.load(args.restore_path, map_location='cpu')
@@ -378,10 +382,6 @@ def main(args):  # pylint: disable=redefined-outer-name
     else:
         args.restore_step = 0
 
-    if use_cuda:
-        model.cuda()
-        criterion.cuda()
-
     # DISTRUBUTED
     if num_gpus > 1:
         model = DDP_th(model, device_ids=[args.rank])