update code

java/src/main/java/io/paddle/serving/client/PredictFuture.java

@@ -26,7 +26,7 @@ public class PredictFuture {
         try {
             resp = callFuture_.get();
         } catch (Exception e) {
-            System.out.format("grpc failed: %s\n", e.toString());
+            System.out.format("predict failed: %s\n", e.toString());
             return null;
         }
         Map<String, HashMap<String, INDArray>> ensemble_result
@@ -35,7 +35,7 @@ public class PredictFuture {
             = new ArrayList<Map.Entry<String, HashMap<String, INDArray>>>(
                     ensemble_result.entrySet());
         if (list.size() != 1) {
-            System.out.format("grpc failed: please use get_ensemble impl.\n");
+            System.out.format("predict failed: please use get_ensemble impl.\n");
             return null;
         }
         return list.get(0).getValue();
@@ -46,7 +46,7 @@ public class PredictFuture {
         try {
             resp = callFuture_.get();
         } catch (Exception e) {
-            System.out.format("grpc failed: %s\n", e.toString());
+            System.out.format("predict failed: %s\n", e.toString());
             return null;
         }
         return callBackFunc_.apply(resp);

python/examples/grpc_impl_example/imdb/test_multilang_ensemble_client.py

@@ -30,8 +30,6 @@ imdb_dataset.load_resource('imdb.vocab')
 for i in range(3):
     line = 'i am very sad | 0'
     word_ids, label = imdb_dataset.get_words_and_label(line)
-    print(type(word_ids[0]))
-    print(word_ids)
     feed = {"words": word_ids}
     fetch = ["prediction"]
     fetch_maps = client.predict(feed=feed, fetch=fetch)