add readme for imdb examples

core/general-client/src/general_model.cpp

@@ -254,7 +254,7 @@ std::vector<std::vector<std::vector<float>>> PredictorClient::predict_for_batch(
         fetch_result_batch[bi][idx].resize(len);
         for (int i = 0; i < len; ++i) {
           fetch_result_batch[bi][idx][i] =
-              *(const float *)res.insts(0).tensor_array(idx).data(i).c_str();
+              *(const float *)res.insts(bi).tensor_array(idx).data(i).c_str();
         }
       }
     }

python/examples/imdb/README.md

@@ -10,4 +10,7 @@ cat test.data | python test_client.py > result
 ```
 python test_client_multithread.py inference.conf test.data 4 > result
 ```
-batch clienit
+batch clienit，若batch size为4
+```
+cat test.data | python test_client_batch inference.conf 4 > result
+```

python/paddle_serving/serving_client/__init__.py

@@ -161,6 +161,7 @@ class Client(object):
         int_feed_names = []
         float_feed_names = []
         fetch_names = []
+        counter = 0
         for feed in feed_batch:
             int_slot = []
             float_slot = []
@@ -168,11 +169,14 @@ class Client(object):
                 if key not in self.feed_names_:
                     continue
                 if self.feed_types_[key] == int_type:
-                    int_feed_names.append(key)
+                    if counter == 0:
+                        int_feed_names.append(key)
                     int_slot.append(feed[key])
                 elif self.feed_types_[key] == float_type:
-                    float_feed_names.append(key)
+                    if counter == 0:
+                        float_feed_names.append(key)
                     float_slot.append(feed[key])
+            counter += 1
             int_slot_batch.append(int_slot)
             float_slot_batch.append(float_slot)