diff --git a/python/paddle/tensor/creation.py b/python/paddle/tensor/creation.py
index 7b62ae9102d222d5862215b140d5b90919adf871..a69bc64c4cf66906e8c3168b3ac063d69edaf370 100644
--- a/python/paddle/tensor/creation.py
+++ b/python/paddle/tensor/creation.py
@@ -952,7 +952,6 @@ def empty(shape, dtype=None, name=None):
           import paddle
           import numpy as np
 
-          paddle.disable_static()   # Now we are in imperative mode
           paddle.set_device("cpu")  # and use cpu device
 
           # example 1: argument ``shape`` is a list which doesn't contain Tensor.
@@ -1036,7 +1035,6 @@ def empty_like(x, dtype=None, name=None):
           import paddle
           import numpy as np
 
-          paddle.disable_static()   # Now we are in imperative mode
           paddle.set_device("cpu")  # and use cpu device
 
           x = paddle.randn([2, 3], 'float32')
diff --git a/python/paddle/tensor/linalg.py b/python/paddle/tensor/linalg.py
index 2745464995f5d2247613b256dfc3461f19432024..e46a26bf45ba6d3f1be20efe12d19a0f43511ab1 100644
--- a/python/paddle/tensor/linalg.py
+++ b/python/paddle/tensor/linalg.py
@@ -921,13 +921,11 @@ def mv(x, vec, name=None):
             import numpy as np
             import paddle
 
-            paddle.disable_static()
             x_data = np.array([[2, 1, 3], [3, 0, 1]]).astype("float64")
             x = paddle.to_tensor(x_data)
             vec_data = np.array([3, 5, 1])
             vec = paddle.to_tensor(vec_data).astype("float64")
             out = paddle.mv(x, vec)
-            paddle.enable_static()
     """
     if in_dygraph_mode():
         out = core.ops.mv(x, vec)