diff --git a/python/paddle/__init__.py b/python/paddle/__init__.py
index e749cf88b6a49846b678c1c4258d2b3c2a8c01a4..4f308a9860307334ad9e0772601a39399d85be18 100755
--- a/python/paddle/__init__.py
+++ b/python/paddle/__init__.py
@@ -258,6 +258,7 @@ from .tensor.stat import numel  #DEFINE_ALIAS
 from .device import get_cudnn_version
 from .device import set_device
 from .device import get_device
+from .device import is_compiled_with_cuda
 # from .tensor.tensor import Tensor        #DEFINE_ALIAS
 # from .tensor.tensor import LoDTensor        #DEFINE_ALIAS
 # from .tensor.tensor import LoDTensorArray        #DEFINE_ALIAS
diff --git a/python/paddle/device.py b/python/paddle/device.py
index de24fd875130e84d6532d033761f68a5c77a68c2..29e6f5a3df05eaa7f5fa1236c0daeca20ad0dbe9 100644
--- a/python/paddle/device.py
+++ b/python/paddle/device.py
@@ -18,6 +18,7 @@ import re
 from paddle.fluid import core
 from paddle.fluid import framework
 from paddle.fluid.dygraph.parallel import ParallelEnv
+from paddle.fluid.framework import is_compiled_with_cuda
 
 __all__ = [
     'get_cudnn_version',
@@ -29,7 +30,7 @@ __all__ = [
     #            'cuda_places',
     #            'CUDAPinnedPlace',
     #            'CUDAPlace',
-    #            'is_compiled_with_cuda'
+    'is_compiled_with_cuda'
 ]
 
 _cudnn_version = None
diff --git a/python/paddle/fluid/framework.py b/python/paddle/fluid/framework.py
index 797b32f5d4768af59fa4e6aceb75e4b6d9029d91..c56644646df19b6be6744d886b5d6eba26e7b8c2 100644
--- a/python/paddle/fluid/framework.py
+++ b/python/paddle/fluid/framework.py
@@ -350,13 +350,13 @@ def is_compiled_with_cuda():
     """
     Whether this whl package can be used to run the model on GPU.
 
-    Returns (bool): support gpu or not.
+    Returns (bool): `True` if CUDA is currently available, otherwise `False`.
 
     Examples:
         .. code-block:: python
 
-            import paddle.fluid as fluid
-            support_gpu = fluid.is_compiled_with_cuda()
+            import paddle
+            support_gpu = paddle.is_compiled_with_cuda()
     """
     return core.is_compiled_with_cuda()