fix some bugs

python/examples/bert/bert_client.py

@@ -33,5 +33,5 @@ for line in sys.stdin:
     for key in feed_dict.keys():
         feed_dict[key] = np.array(feed_dict[key]).reshape((128, 1))
     #print(feed_dict)
-    result = client.predict(feed=feed_dict, fetch=fetch, batch=True)
+    result = client.predict(feed=feed_dict, fetch=fetch, batch=False)
 print(result)

python/examples/bert/bert_web_service.py

@@ -29,7 +29,7 @@ class BertService(WebService):
 
     def preprocess(self, feed=[], fetch=[]):
         feed_res = []
-        is_batch = True
+        is_batch = False
         for ins in feed:
             feed_dict = self.reader.process(ins["words"].encode("utf-8"))
             for key in feed_dict.keys():

python/examples/imagenet/resnet50_web_service.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 import sys
 from paddle_serving_client import Client
-
+import numpy as np
 from paddle_serving_app.reader import Sequential, URL2Image, Resize, CenterCrop, RGB2BGR, Transpose, Div, Normalize, Base64ToImage
 
 if len(sys.argv) != 4:
@@ -44,12 +44,13 @@ class ImageService(WebService):
 
     def preprocess(self, feed=[], fetch=[]):
         feed_batch = []
+        is_batch = True
         for ins in feed:
             if "image" not in ins:
                 raise ("feed data error!")
             img = self.seq(ins["image"])
             feed_batch.append({"image": img[np.newaxis, :]})
-        return feed_batch, fetch
+        return feed_batch, fetch, is_batch
 
     def postprocess(self, feed=[], fetch=[], fetch_map={}):
         score_list = fetch_map["score"]

python/examples/imdb/text_classify_service.py

@@ -29,13 +29,14 @@ class IMDBService(WebService):
     def preprocess(self, feed={}, fetch=[]):
         feed_batch = []
         words_lod = [0]
+        is_batch = True
         for ins in feed:
             words = self.dataset.get_words_only(ins["words"])
             words = np.array(words).reshape(len(words), 1)
             words_lod.append(words_lod[-1] + len(words))
             feed_batch.append(words)
         feed = {"words": np.concatenate(feed_batch), "words.lod": words_lod}
-        return feed, fetch
+        return feed, fetch, is_batch
 
 
 imdb_service = IMDBService(name="imdb")

python/setup.py.app.in

@@ -32,8 +32,8 @@ if '${PACK}' == 'ON':
 
 
 REQUIRED_PACKAGES = [
-    'six >= 1.10.0', 'sentencepiece', 'opencv-python<=4.2.0.32', 'pillow',
-    'shapely<=1.6.1', 'pyclipper'
+    'six >= 1.10.0', 'sentencepiece<=0.1.92', 'opencv-python<=4.2.0.32', 'pillow',
+    'pyclipper'
 ]
 
 packages=['paddle_serving_app',

requirements.txt

+sphinx==2.1.0
+mistune
+sphinx_rtd_theme
+paddlepaddle>=1.8.4
+shapely<=1.6.1

doc/requirements.txt → requirements_win.txt

 sphinx==2.1.0
 mistune
 sphinx_rtd_theme
-paddlepaddle>=1.6
+paddlepaddle>=1.8.4
+shapely