CUDA DRIVER VERSION DRIVER
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.