fix QA IPEX example fp32 input issue (#1661)

Signed-off-by: Cheng, Zixuan <zixuan.cheng@intel.com>

Author: violetch24

examples/pytorch/nlp/huggingface_models/question-answering/quantization/ptq_static/ipex/run_qa.py

@@ -687,7 +687,10 @@ def eval_func(model):
         example_inputs = get_example_inputs(model, eval_dataloader)
         model = ipex.optimize(model)
         with torch.no_grad():
-            model = torch.jit.trace(model, example_kwarg_inputs=example_inputs, strict=False)
+            if isinstance(example_inputs, dict):
+                model = torch.jit.trace(model, example_kwarg_inputs=example_inputs, strict=False)
+            else:
+                model = torch.jit.trace(model, example_inputs, strict=False)
             model = torch.jit.freeze(model)
 
     if model_args.benchmark or model_args.accuracy_only: