【Paddle.Fleet】fix dataset zip py3 bug (#31441)

* fix zip py3 bug

python/paddle/distributed/fleet/data_generator/data_generator.py

@@ -32,11 +32,11 @@ class DataGenerator(object):
         '''
         Set batch size of current DataGenerator
         This is necessary only if a user wants to define generator_batch
-        
+
         Example:
 
             .. code-block:: python
-                
+
                 import paddle.distributed.fleet.data_generator as dg
                 class MyData(dg.DataGenerator):
 
@@ -52,7 +52,7 @@ class DataGenerator(object):
                                 yield ("words", s[1].extend([s[1][0]]))
                 mydata = MyData()
                 mydata.set_batch(128)
-                    
+
         '''
         self.batch_size_ = batch_size
 
@@ -63,7 +63,7 @@ class DataGenerator(object):
 
         Example:
             .. code-block:: python
-                
+
                 import paddle.distributed.fleet.data_generator as dg
                 class MyData(dg.DataGenerator):
 
@@ -100,9 +100,9 @@ class DataGenerator(object):
         generated.
 
         Example:
-        
+
             .. code-block:: python
-                
+
                 import paddle.distributed.fleet.data_generator as dg
                 class MyData(dg.DataGenerator):
 
@@ -161,7 +161,7 @@ class DataGenerator(object):
               The data format is list or tuple: 
             [(name, [feasign, ...]), ...] 
               or ((name, [feasign, ...]), ...)
-             
+
             For example:
             [("words", [1926, 08, 17]), ("label", [1])]
               or (("words", [1926, 08, 17]), ("label", [1]))
@@ -174,7 +174,7 @@ class DataGenerator(object):
         Example:
 
             .. code-block:: python
-                
+
                 import paddle.distributed.fleet.data_generator as dg
                 class MyData(dg.DataGenerator):
 
@@ -206,7 +206,7 @@ class DataGenerator(object):
         Example:
 
             .. code-block:: python
-                
+
                 import paddle.distributed.fleet.data_generator as dg
                 class MyData(dg.DataGenerator):
 
@@ -259,6 +259,9 @@ class MultiSlotStringDataGenerator(DataGenerator):
         Returns:
             Return a string data that can be read directly by the MultiSlotDataFeed.
         '''
+        if sys.version > '3' and isinstance(line, zip):
+            line = list(line)
+
         if not isinstance(line, list) and not isinstance(line, tuple):
             raise ValueError(
                 "the output of process() must be in list or tuple type"
@@ -289,7 +292,7 @@ class MultiSlotDataGenerator(DataGenerator):
             >>> [ids_num id1 id2 ...] ...
         The proto_info will be in this format:
             >>> [(name, type), ...]
-        
+
         For example, if the input is like this:
             >>> [("words", [1926, 08, 17]), ("label", [1])]
             >>> or (("words", [1926, 08, 17]), ("label", [1]))
@@ -304,6 +307,9 @@ class MultiSlotDataGenerator(DataGenerator):
         Returns:
             Return a string data that can be read directly by the MultiSlotDataFeed.
         '''
+        if sys.version > '3' and isinstance(line, zip):
+            line = list(line)
+
         if not isinstance(line, list) and not isinstance(line, tuple):
             raise ValueError(
                 "the output of process() must be in list or tuple type"

python/paddle/fluid/tests/unittests/test_data_generator.py

@@ -95,6 +95,32 @@ class MyMultiSlotDataGenerator_error_5(fleet.MultiSlotDataGenerator):
         return data_iter
 
 
+class MyMultiSlotStringDataGenerator_zip(fleet.MultiSlotStringDataGenerator):
+    def generate_sample(self, line):
+        def data_iter():
+            for i in range(40):
+                if i == 1:
+                    yield None
+                feature_name = ["words", "label"]
+                data = [["1", "2", "3", "4"], ["0"]]
+                yield zip(feature_name, data)
+
+        return data_iter
+
+
+class MyMultiSlotDataGenerator_zip(fleet.MultiSlotDataGenerator):
+    def generate_sample(self, line):
+        def data_iter():
+            for i in range(40):
+                if i == 1:
+                    yield None
+                feature_name = ["words", "label"]
+                data = [[1, 2, 3, 4], [0]]
+                yield zip(feature_name, data)
+
+        return data_iter
+
+
 class TestMultiSlotDataGenerator(unittest.TestCase):
     def test_MultiSlotDataGenerator_basic(self):
         my_ms_dg = MyMultiSlotDataGenerator()
@@ -149,5 +175,19 @@ class TestMultiSlotDataGenerator_error_5(unittest.TestCase):
             my_ms_dg.run_from_memory()
 
 
+class TestMultiSlotStringDataGeneratorZip(unittest.TestCase):
+    def test_MultiSlotStringDataGenerator_zip(self):
+        my_ms_dg = MyMultiSlotStringDataGenerator_zip()
+        my_ms_dg.set_batch(1)
+        my_ms_dg.run_from_memory()
+
+
+class TestMultiSlotDataGeneratorZip(unittest.TestCase):
+    def test_MultiSlotDataGenerator_zip(self):
+        my_ms_dg = MyMultiSlotDataGenerator_zip()
+        my_ms_dg.set_batch(1)
+        my_ms_dg.run_from_memory()
+
+
 if __name__ == '__main__':
     unittest.main()