The reason for this error is the mismatch of your installed Cuda Toolkit version and the version of the python package cudatoolkit, which is usually installed as dependency of tensorflow-gpu.
CUDA DRIVER INSTALL UPDATE
Then update your nvidia driver by downloading it from here. You can check your cuda toolkit compatiblity here. Updating nvidia driver solved this issue. debian is not a supported OS for CUDA, and if you installed the driver using debian tools, that may be the problem GCC version: gcc version 7.3.0 (Debian 7.3.0-28) nvcc -versionĬopyright (c) 2005-2016 NVIDIA CorporationĬuda compilation tools, release 8.0, V8.0.44 NVRM version: NVIDIA UNIX x86_64 Kernel Module 390.77 Tue Jul 10 18:28: Tensorflow is : 1.10 cat /proc/driver/nvidia/version Status: CUDA driver version is insufficient for CUDA runtime versionĪnd _impl.InternalError: Failed to create session. Where do the following errors come from ? E tensorflow/core/common_runtime/direct_: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 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) _impl.InternalError: Failed to create session. I get the following error when l run tensorflow in GPU.
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