update comment

python/paddle/fluid/layers/control_flow.py

@@ -893,12 +893,11 @@ def create_array(dtype):
     """
     **Create LoDTensor Array**
 
-    This function creates an array of type :math:`LOD_TENSOR_ARRAY` using the
-    LayerHelper. It is mainly used to implement RNN with array_write, array_read
-    and While.
+    This function creates an array of LOD_TENSOR_ARRAY . It is mainly used to
+    implement RNN with array_write, array_read and While.
 
     Args:
-        dtype (int|float): The data type of the elements in the array.
+        dtype (int|float): The data type of the elements in the lod_tensor_array.
 
     Returns:
         Variable: The lod_tensor_array variable storing the elements of data type.

python/paddle/fluid/layers/nn.py

@@ -1618,8 +1618,9 @@ def batch_norm(input,
     1. NHWC `[batch, in_height, in_width, in_channels]`
     2. NCHW `[batch, in_channels, in_height, in_width]`
 
-    Refer to `Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
-     <https://arxiv.org/pdf/1502.03167.pdf>`_ for more details.
+    Refer to `Batch Normalization: Accelerating Deep Network Training by Reducing
+    Internal Covariate Shift <https://arxiv.org/pdf/1502.03167.pdf>`_
+    for more details.
 
     :math:`input` is the input features over a mini-batch.
 

python/paddle/fluid/layers/tensor.py

@@ -40,15 +40,14 @@ __all__ = [
 
 def create_tensor(dtype, name=None, persistable=False):
     """
-    **Create a Tensor with certain data type and name**
+    **Create a Tensor**
 
     Args:
         dtype (string): 'float32'|'int32'|..., the data type of the
             created tensor.
-        name (string|None): The name of the created tensor, if not set,
+        name (string, Default: None): The name of the created tensor, if not set,
             the name will be a random unique one.
-        persistable (bool): Set the persistable flag of the create tensor,
-            default value is False.
+        persistable (bool, Default: False): Set the persistable flag of the create tensor.
 
     Returns:
         Variable: The tensor variable storing the created tensor.