Tensorflow – cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version

I get the following error when l run tensorflow in GPU.

2018-09-15 18:56:51.011724: E tensorflow/core/common_runtime/direct_session.cc:158] Internal: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version
Traceback (most recent call last):
  File "evaluate_sample.py", line 160, in <module>
    tf.app.run(main)
  File "/anaconda3/envs/tf/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 125, in run
    _sys.exit(main(argv))
  File "evaluate_sample.py", line 123, in main
    with tf.Session() as sess:
  File "/anaconda3/envs/tf/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1494, in __init__
    super(Session, self).__init__(target, graph, config=config)
  File "/anaconda3/envs/tf/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 626, in __init__
    self._session = tf_session.TF_NewSession(self._graph._c_graph, opts)
tensorflow.python.framework.errors_impl.InternalError: Failed to create session.

Where do the following errors come from ?

E tensorflow/core/common_runtime/direct_session.cc:158] Internal: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version

and
tensorflow.python.framework.errors_impl.InternalError: Failed to create session.

Such tha my version of :

tensorflow is : 1.10

cat /proc/driver/nvidia/version

NVRM version: NVIDIA UNIX x86_64 Kernel Module 390.77 Tue Jul 10 18:28:52 PDT 2018

GCC version: gcc version 7.3.0 (Debian 7.3.0-28)

nvcc --version

nvcc: NVIDIA (R) Cuda compiler driver

Copyright (c) 2005-2016 NVIDIA Corporation

Built on Sun_Sep__4_22:14:01_CDT_2016

Cuda compilation tools, release 8.0, V8.0.44