diff --git a/python/paddle/fluid/lazy_init.py b/python/paddle/fluid/lazy_init.py
index 3a577eb908432b1abcf94525fdea12f10ca281f5..36f36161e6f27d60fb203f3ab1b8c6887c5d50e0 100644
--- a/python/paddle/fluid/lazy_init.py
+++ b/python/paddle/fluid/lazy_init.py
@@ -93,6 +93,21 @@ class LazyGuard:
     LazyGuard is a wrapper interface for nn.Layer, it forwards the construct
     process of user defined Layer. Meanwhile, it provides necessary API to
     trigger EagerParamBase Lazy Initialization and get startup Program.
+
+    Examples:
+
+        .. code-block:: python
+
+            from paddle import LazyGuard
+            from paddle.nn import Linear
+
+            with LazyGuard():
+                # w and b are initialized lazily and have no memory.
+                net = Linear(10, 10)
+
+            for param in net.parameters():
+                # Initialize param and allocate memory explicitly.
+                param.initialize()
     """
 
     def __enter__(self):
diff --git a/python/paddle/tensor/manipulation.py b/python/paddle/tensor/manipulation.py
index 73fc4af9fa4d14d07a64f62e119eae2d717e0892..d71f1b09a2f9da55a329bb4115961b18b585063d 100644
--- a/python/paddle/tensor/manipulation.py
+++ b/python/paddle/tensor/manipulation.py
@@ -2851,6 +2851,7 @@ def scatter(x, index, updates, overwrite=True, name=None):
     Output is obtained by updating the input on selected indices based on updates.
 
     .. code-block:: python
+        :name: code-example1
 
         import paddle
         #input: