Change --path to be colon-separated instead of comma-separated

eval_lm.py

@@ -30,7 +30,7 @@ def main(args):
 
     # Load ensemble
     print('| loading model(s) from {}'.format(args.path))
-    models, _ = utils.load_ensemble_for_inference(args.path.split(','), task)
+    models, _ = utils.load_ensemble_for_inference(args.path.split(':'), task)
 
     # Optimize ensemble for generation and set the source and dest dicts on the model (required by scorer)
     for model in models:

fairseq/options.py

@@ -237,7 +237,7 @@ def add_checkpoint_args(parser):
 
 def add_common_eval_args(group):
     group.add_argument('--path', metavar='FILE',
-                       help='path(s) to model file(s), comma separated')
+                       help='path(s) to model file(s), colon separated')
     group.add_argument('--remove-bpe', nargs='?', const='@@ ', default=None,
                        help='remove BPE tokens before scoring')
     group.add_argument('--cpu', action='store_true', help='generate on CPU')

generate.py

@@ -38,7 +38,7 @@ def main(args):
 
     # Load ensemble
     print('| loading model(s) from {}'.format(args.path))
-    models, _ = utils.load_ensemble_for_inference([args.path], task)
+    models, _ = utils.load_ensemble_for_inference(args.path.split(':'), task)
 
     # Optimize ensemble for generation
     for model in models:

interactive.py

@@ -73,7 +73,7 @@ def main(args):
 
     # Load ensemble
     print('| loading model(s) from {}'.format(args.path))
-    model_paths = args.path.split(',')
+    model_paths = args.path.split(':')
     models, model_args = utils.load_ensemble_for_inference(model_paths, task)
 
     # Set dictionaries