use_ml_decoder_head

train.py

@@ -381,7 +381,7 @@ def main():
         bn_eps=args.bn_eps,
         scriptable=args.torchscript,
         checkpoint_path=args.initial_checkpoint,
-        ml_decoder_head=args.use_ml_decoder_head)
+        use_ml_decoder_head=args.use_ml_decoder_head)
     if args.num_classes is None:
         assert hasattr(model, 'num_classes'), 'Model must have `num_classes` attr if not set on cmd line/config.'
         args.num_classes = model.num_classes  # FIXME handle model default vs config num_classes more elegantly