message: call exit() explicite if error than threshold
diff: @@ -33,16 +33,17 @@ def wdl_inference(model_name, network_file, dense_file, embedding_file_list, dat
  inference_session = CreateInferenceSession(config_file, inference_params)
  output = inference_session.predict(dense_features, embedding_columns, row_ptrs)
  miss=np.mean((np.array(output) - np.array(result)) ** 2)
  - print(output)
  - print(miss)
  + print("WDL multi-embedding table inference result is {}".format(output))
  if enable_cache:
  if miss>0.0001:
  - print("[HUGECTR][INFO] WDL multi-embedding table inference using GPU cache, prediction error is geater than threshold:{}, error is {}".format(0.0001, miss))
  + raise RuntimeError("WDL multi-embedding table inference using GPU cache, prediction error is greater than threshold: {}, error is {}".format(0.0001, miss))
  + sys.exit(1)
  else:
  print("[HUGECTR][INFO] WDL multi-embedding table inference using GPU cache, prediction error is less than threshold:{}, error is {}".format(0.0001, miss))
  else:
  if miss>0.0001:
  - print("[HUGECTR][INFO] WDL multi-embedding table inference without GPU cache, prediction error is geater than threshold:{}, error is {}".format(0.0001, miss))
  + raise RuntimeError("[HUGECTR][INFO] WDL multi-embedding table inference without GPU cache, prediction error is greater than threshold:{}, error is {}".format(0.0001, miss))
  + sys.exit(1)
  else:
  print("[HUGECTR][INFO] WDL multi-embedding table inference without GPU cache, prediction error is less than threshold: {}, error is {}".format(0.0001, miss))
  