Fix parallel_executor_fetch_feed issue

python/paddle/dataset/flowers.py

@@ -116,8 +116,8 @@ def reader_creator(data_file,
             for file in open(file_list):
                 file = file.strip()
                 batch = None
-                with open(file, 'r') as f:
-                    batch = pickle.load(f)
+                with open(file, 'rb') as f:
+                    batch = pickle.loads(f.read())
                 data = batch['data']
                 labels = batch['label']
                 for sample, label in zip(data, batch['label']):

python/paddle/reader/tests/creator_test.py

@@ -29,6 +29,7 @@ import os
 import unittest
 import numpy as np
 import paddle.reader.creator
+import six
 
 
 class TestNumpyArray(unittest.TestCase):
@@ -37,7 +38,7 @@ class TestNumpyArray(unittest.TestCase):
         x = np.array(l, np.int32)
         reader = paddle.reader.creator.np_array(x)
         for idx, e in enumerate(reader()):
-            self.assertItemsEqual(e, l[idx])
+            six.assertCountEqual(e, l[idx])
 
 
 class TestTextFile(unittest.TestCase):