diff --git a/paddle/fluid/operators/uniform_random_batch_size_like_op.cc b/paddle/fluid/operators/uniform_random_batch_size_like_op.cc
index 192366fd44ef44bfd24a94c12d068a93fd298441..75d6181749e4e9bd81a3c02de69caf0acd81eef9 100644
--- a/paddle/fluid/operators/uniform_random_batch_size_like_op.cc
+++ b/paddle/fluid/operators/uniform_random_batch_size_like_op.cc
@@ -38,7 +38,7 @@ class UniformRandomBatchSizeLikeOpMaker : public BatchSizeLikeOpMaker {
 UniformRandomBatchSizeLike operator.
 
 This operator initializes a tensor with the same batch_size as the Input tensor
- with random values sampled from a uniform distribution.
+with random values sampled from a uniform distribution.
 
 )DOC");
     AddAttr<float>("min",
diff --git a/python/paddle/fluid/framework.py b/python/paddle/fluid/framework.py
index 595f67961fe34626a255ceffc6d0f2ac29392739..df0625649d2cf897e103131739aaa4d48f8a097c 100644
--- a/python/paddle/fluid/framework.py
+++ b/python/paddle/fluid/framework.py
@@ -1130,6 +1130,8 @@ class Program(object):
 
     def clone(self, for_test=False):
         """Clone the Program object
+        Args:
+           for_test(bool): indicate whether clone for test.
 
         Set for_test to False when we want to clone the program for training.
         Set for_test to True when we want to clone the program for testing.
@@ -1140,8 +1142,9 @@ class Program(object):
                 the is_test attributes in these operators will be set to True for
                 testing purposes, otherwise, they remain unchanged.
 
-        Returns(Program):
-            The cloned Program object.
+        Returns:
+            Program: The cloned Program object.
+
         """
         if for_test:
             p = self.inference_optimize()
@@ -1259,6 +1262,7 @@ class Program(object):
     def copy_param_info_from(self, other):
         """
         Copy the information of parameters from other program.
+
         Args:
             other(Program): Other program
 
@@ -1277,6 +1281,7 @@ class Program(object):
     def copy_data_info_from(self, other):
         """
         Copy the information of data variables from other program.
+
         Args:
             other(Program): Other program
 
@@ -1330,6 +1335,7 @@ class Parameter(Variable):
     def to_string(self, throw_on_error, with_details=False):
         """
         To debug string.
+
         Args:
             throw_on_error(bool): raise exception when self is not initialized
                 when throw_on_error is True
diff --git a/python/paddle/fluid/layers/control_flow.py b/python/paddle/fluid/layers/control_flow.py
index f4e95dd36390b548cadc2b84bd5e6325bec6b5a6..df2f9dedabfd074983db79e9f37a65f4cd195b09 100644
--- a/python/paddle/fluid/layers/control_flow.py
+++ b/python/paddle/fluid/layers/control_flow.py
@@ -823,8 +823,7 @@ def increment(x, value=1.0, in_place=True):
         in_place (bool): If the increment should be performed in-place.
 
     Returns:
-        Variable: The tensor variable storing the transformation of
-                  element-wise increment of each value in the input.
+        Variable: The elementwise-incremented object.
 
     Examples:
         .. code-block:: python
diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py
index 8c8d6328ebbd5f59ad22cd919c37b6e5ee30d4b9..4fd353171a00c2b155d2567408e77a9d0c744b47 100644
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -2061,8 +2061,6 @@ def beam_search_decode(ids, scores, name=None):
     based on the score of each id. This layer takes the output of beam search
     layer as input and repack them into sentences.
 
-    ${beam_search_decode}
-
     Args:
         ids (Variable): The selected ids, output of beam search layer. 
         scores (Variable): The associated scores of the ids, out put of beam