diff --git a/python/examples/criteo_ctr/benchmark_batch.py b/python/examples/criteo_ctr/benchmark_batch.py
index 47b63a6ade0c21bdc82a5c67d65b39ffc614e06c..1e4348c99dc0d960b1818ea6f0eb1ae2f5bd2ccb 100644
--- a/python/examples/criteo_ctr/benchmark_batch.py
+++ b/python/examples/criteo_ctr/benchmark_batch.py
@@ -55,8 +55,7 @@ def single_func(idx, resource):
                     for i in range(1, 27):
                         feed_dict["sparse_{}".format(i - 1)] = data[0][i]
                     feed_batch.append(feed_dict)
-                result = client.batch_predict(
-                    feed_batch=feed_batch, fetch=fetch)
+                result = client.predict(feed=feed_batch, fetch=fetch)
             else:
                 print("unsupport batch size {}".format(args.batch_size))
 
diff --git a/python/examples/criteo_ctr_with_cube/benchmark_batch.py b/python/examples/criteo_ctr_with_cube/benchmark_batch.py
index b4b15892375e830486afa320151fac619aab2ba7..f395d327ea8e3470db08a7f472b6b6ec5a82daf1 100755
--- a/python/examples/criteo_ctr_with_cube/benchmark_batch.py
+++ b/python/examples/criteo_ctr_with_cube/benchmark_batch.py
@@ -56,8 +56,7 @@ def single_func(idx, resource):
                         feed_dict["embedding_{}.tmp_0".format(i - 1)] = data[0][
                             i]
                     feed_batch.append(feed_dict)
-                result = client.batch_predict(
-                    feed_batch=feed_batch, fetch=fetch)
+                result = client.batch_predict(feed=feed_batch, fetch=fetch)
             else:
                 print("unsupport batch size {}".format(args.batch_size))
 
diff --git a/python/examples/imagenet/benchmark_batch.py b/python/examples/imagenet/benchmark_batch.py
index 7477100971d1a098bb075c94f75490c16b53b862..e531425770cbf9102b7ebd2f5b082c5c4aa14e71 100644
--- a/python/examples/imagenet/benchmark_batch.py
+++ b/python/examples/imagenet/benchmark_batch.py
@@ -50,8 +50,7 @@ def single_func(idx, resource):
                     img = reader.process_image(img_list[i])
                     img = img.reshape(-1)
                     feed_batch.append({"image": img})
-                result = client.batch_predict(
-                    feed_batch=feed_batch, fetch=fetch)
+                result = client.predict(feed=feed_batch, fetch=fetch)
             else:
                 print("unsupport batch size {}".format(args.batch_size))
 
diff --git a/python/examples/imdb/benchmark_batch.py b/python/examples/imdb/benchmark_batch.py
index 302d63352ca20bf7e455ad1a66ead22f63dbe846..d36704a7631e963fd51220aa3c3d9a350515ebfd 100644
--- a/python/examples/imdb/benchmark_batch.py
+++ b/python/examples/imdb/benchmark_batch.py
@@ -42,8 +42,7 @@ def single_func(idx, resource):
                 for bi in range(args.batch_size):
                     word_ids, label = imdb_dataset.get_words_and_label(line)
                     feed_batch.append({"words": word_ids})
-                result = client.batch_predict(
-                    feed_batch=feed_batch, fetch=["prediction"])
+                result = client.predict(feed=feed_batch, fetch=["prediction"])
             else:
                 print("unsupport batch size {}".format(args.batch_size))