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 78fee77df8151221459b0afa0d6789bfe82cfda5..192366fd44ef44bfd24a94c12d068a93fd298441 100644
--- a/paddle/fluid/operators/uniform_random_batch_size_like_op.cc
+++ b/paddle/fluid/operators/uniform_random_batch_size_like_op.cc
@@ -35,7 +35,7 @@ class UniformRandomBatchSizeLikeOpMaker : public BatchSizeLikeOpMaker {
  protected:
   void Apply() override {
     AddComment(R"DOC(
-Uniform random operator
+UniformRandomBatchSizeLike operator.
 
 This operator initializes a tensor with the same batch_size as the Input tensor
  with random values sampled from a uniform distribution.
diff --git a/python/paddle/fluid/layers/control_flow.py b/python/paddle/fluid/layers/control_flow.py
index 850945001c75b26e414c3be51b54133b7a37460b..f4e95dd36390b548cadc2b84bd5e6325bec6b5a6 100644
--- a/python/paddle/fluid/layers/control_flow.py
+++ b/python/paddle/fluid/layers/control_flow.py
@@ -866,8 +866,7 @@ def array_write(x, i, array=None):
         Variable: The output LOD_TENSOR_ARRAY where the input tensor is written.
 
     Examples:
-
-        .. code-block::python
+        .. code-block:: python
 
           tmp = fluid.layers.zeros(shape=[10], dtype='int32')
           i = fluid.layers.fill_constant(shape=[1], dtype='int64', value=10)
diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py
index b5745e20f1628ae4a1606848d006ca3d60ac683a..dc1124a512396f1eff8e126a32638209f5368a1e 100644
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -2935,7 +2935,7 @@ def split(input, num_or_sections, dim=-1, name=None):
                        will be named automatically.
 
     Returns:
-        List: The list of segmented tensor variables.
+        list(Variable): The list of segmented tensor variables.
 
     Examples:
         .. code-block:: python