diff --git a/python/paddle/fluid/tests/unittests/CMakeLists.txt b/python/paddle/fluid/tests/unittests/CMakeLists.txt
index 150fa4c1d16219d1fd0e9ec42806387c8282ba65..5d621e386de5d5e5f4e49d218cc1ede30adfeab0 100644
--- a/python/paddle/fluid/tests/unittests/CMakeLists.txt
+++ b/python/paddle/fluid/tests/unittests/CMakeLists.txt
@@ -379,7 +379,6 @@ list(REMOVE_ITEM TEST_OPS test_imperative_static_runner_while)
 
 # disable this unittest temporarily
 list(REMOVE_ITEM TEST_OPS test_imperative_data_loader_exception)
-list(REMOVE_ITEM TEST_OPS test_sampling_id_op)
 
 if (APPLE OR WIN32)
   list(REMOVE_ITEM TEST_OPS test_dataset)
diff --git a/python/paddle/optimizer/adadelta.py b/python/paddle/optimizer/adadelta.py
index 91591d23f00c4b159ab5bb18b550478c5b40eb37..e921eda41cfb6a003994a36e8da16892c8150c77 100644
--- a/python/paddle/optimizer/adadelta.py
+++ b/python/paddle/optimizer/adadelta.py
@@ -62,9 +62,9 @@ class Adadelta(Optimizer):
 
     Examples:
         .. code-block:: python
+	
             import paddle
             import numpy as np
-            paddle.disable_static()
             inp = np.random.uniform(-0.1, 0.1, [10, 10]).astype("float32")
             linear = paddle.nn.Linear(10, 10)
             inp = paddle.to_tensor(inp)
diff --git a/python/paddle/optimizer/momentum.py b/python/paddle/optimizer/momentum.py
index 601fdce7a341a179ff7b87d98a8d78d872d0c9a0..5c6ce5fd5905b28be55ec1e480d28f3748583cef 100644
--- a/python/paddle/optimizer/momentum.py
+++ b/python/paddle/optimizer/momentum.py
@@ -71,7 +71,6 @@ class Momentum(Optimizer):
 
             import paddle
             import numpy as np
-            paddle.disable_static()
             inp = np.random.uniform(-0.1, 0.1, [10, 10]).astype("float32")
             linear = paddle.nn.Linear(10, 10)
             inp = paddle.to_tensor(inp)
diff --git a/python/paddle/optimizer/sgd.py b/python/paddle/optimizer/sgd.py
index 44e5695a2cfa8e7778adc40133d66898736012b5..b2937ff1620643d9cd2ca9a92d45f2dabdb161d4 100644
--- a/python/paddle/optimizer/sgd.py
+++ b/python/paddle/optimizer/sgd.py
@@ -54,7 +54,6 @@ class SGD(Optimizer):
 
             import paddle
             import numpy as np
-            paddle.disable_static()
             inp = np.random.uniform(-0.1, 0.1, [10, 10]).astype("float32")
             linear = paddle.nn.Linear(10, 10)
             inp = paddle.to_tensor(inp)