Fix forward_loop: pass as callable, not via create_forward_loop

quantize_modelopt.py

@@ -115,9 +115,10 @@ def main():
         calib_seq=args.calib_seq,
     )
 
-    # Create forward loop from dataloader (modelopt helper)
-    from modelopt.torch.utils.dataset_utils import create_forward_loop
-    forward_loop = create_forward_loop(calib_dataloader)
+    # Build forward loop for calibration
+    def forward_loop(model):
+        for batch in calib_dataloader:
+            model(**batch)
 
     # Quantize
     quant_cfg = QUANT_CONFIGS[args.qformat]