fix API.spec problem and executor's docstring

test=develop

paddle/fluid/API.spec

@@ -38,7 +38,7 @@ paddle.fluid.DataFeedDesc.desc (ArgSpec(args=['self'], varargs=None, keywords=No
 paddle.fluid.DataFeedDesc.set_batch_size (ArgSpec(args=['self', 'batch_size'], varargs=None, keywords=None, defaults=None), ('document', '8d9f44601e0a99dd431f14fd9250cd21'))
 paddle.fluid.DataFeedDesc.set_dense_slots (ArgSpec(args=['self', 'dense_slots_name'], varargs=None, keywords=None, defaults=None), ('document', 'eb894b464bbcd1b4bc8038398954f766'))
 paddle.fluid.DataFeedDesc.set_use_slots (ArgSpec(args=['self', 'use_slots_name'], varargs=None, keywords=None, defaults=None), ('document', '415c56600ce4e198c071cad01409a690'))
-paddle.fluid.AsyncExecutor.__init__ (ArgSpec(args=['self', 'place', 'run_mode'], varargs=None, keywords=None, defaults=(None, '')), ('document', '06f6f5f72ad386237f1f4e81eff7b7e9'))
+paddle.fluid.AsyncExecutor.__init__ (ArgSpec(args=['self', 'place', 'run_mode'], varargs=None, keywords=None, defaults=(None, '')), ('document', '4e85874dddcd06c38f5717992d741589'))
 paddle.fluid.AsyncExecutor.config_distributed_nodes (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '762980fe0181eb41e3d1081b26ed76b1'))
 paddle.fluid.AsyncExecutor.download_data (ArgSpec(args=['self', 'afs_path', 'local_path', 'fs_default_name', 'ugi', 'file_cnt', 'hadoop_home', 'process_num'], varargs=None, keywords=None, defaults=('$HADOOP_HOME', 12)), ('document', '39e3ccddf8ea8db75ea85287c9147c3b'))
 paddle.fluid.AsyncExecutor.get_instance (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f8688f76a2db1243c7097a60c507b182'))

python/paddle/fluid/executor.py

@@ -687,7 +687,10 @@ class Executor(object):
             fetch_info(String List): print information for each variable
             print_period(int): the number of mini-batches for each print
 
-        Example:
+        Returns:
+            None
+
+        Examples:
 
             .. code-block:: python
                 import paddle.fluid as fluid
@@ -702,6 +705,7 @@ class Executor(object):
                 exe.run(fluid.default_startup_program())
                 exe.infer_from_dataset(program=fluid.default_main_program(),
                                        dataset=dataset)        
+
         """
         if self.place == paddle.fluid.CUDAPlace():
             raise RuntimeError("infer_from_dataset is verified on CPUPlace"
@@ -724,6 +728,7 @@ class Executor(object):
         self._default_executor.run_from_dataset(program.desc, scope,
                                                 dataset.dataset,
                                                 trainer._desc())
+        return None
 
     def train_from_dataset(self,
                            program=None,
@@ -760,23 +765,27 @@ class Executor(object):
                                        will be printed during training
             fetch_info(String List): print information for each variable
             print_period(int): the number of mini-batches for each print
+
+        Returns:
+            None
         
-    Example:
+        Examples:
         
-        .. code-block:: python
-            import paddle.fluid as fluid
-            place = fluid.CPUPlace()
-            exe = fluid.Executor(place)
-            x = fluid.layers.data(name="x", type="int64")
-            y = fluid.layers.data(name="y", type="int64")
-            dataset = fluid.DatasetFactory().create_dataset()
-            dataset.set_use_var([x, y])
-            dataset.set_thread(2)
-            filelist = ["dataA.txt", "dataB.txt"]
-            dataset.set_filelist(filelist)
-            exe.run(fluid.default_startup_program())
-            exe.train_from_dataset(program=fluid.default_main_program(),
-                                   dataset=dataset)
+            .. code-block:: python
+
+              import paddle.fluid as fluid
+              place = fluid.CPUPlace()
+              exe = fluid.Executor(place)
+              x = fluid.layers.data(name="x", type="int64")
+              y = fluid.layers.data(name="y", type="int64")
+              dataset = fluid.DatasetFactory().create_dataset()
+              dataset.set_use_var([x, y])
+              dataset.set_thread(2)
+              filelist = ["dataA.txt", "dataB.txt"]
+              dataset.set_filelist(filelist)
+              exe.run(fluid.default_startup_program())
+              exe.train_from_dataset(program=fluid.default_main_program(),
+                                     dataset=dataset)
 
         """
         if self.place == paddle.fluid.CUDAPlace():
@@ -799,3 +808,4 @@ class Executor(object):
         self._default_executor.run_from_dataset(program.desc, scope,
                                                 dataset.dataset,
                                                 trainer._desc())
+        return None