[FIXED] Which TensorFlow and CUDA version combinations are compatible?

Issue

I have noticed that some newer TensorFlow versions are incompatible with older CUDA and cuDNN versions. Does an overview of the compatible versions or even a list of officially tested combinations exist? I can't find it in the TensorFlow documentation.

Solution

TL;DR) See this table: https://www.tensorflow.org/install/source#gpu

Generally:

Check the CUDA version:

cat /usr/local/cuda/version.txt

and cuDNN version:

grep CUDNN_MAJOR -A 2 /usr/local/cuda/include/cudnn.h

and install a combination as given below in the images or here.

The following images and the link provide an overview of the officially supported/tested combinations of CUDA and TensorFlow on Linux, macOS and Windows:

Minor configurations:

Since the given specifications below in some cases might be too broad, here is one specific configuration that works:

• tensorflow-gpu==1.12.0
• cuda==9.0
• cuDNN==7.1.4

The corresponding cudnn can be downloaded here.

Tested build configurations

Please refer to https://www.tensorflow.org/install/source#gpu for a up-to-date compatibility chart (for official TF wheels).

(figures updated May 20, 2020)

Linux GPU

Linux CPU

macOS GPU

macOS CPU

Windows GPU

Windows CPU

Updated as of Dec 5 2020: For the updated information please refer Link for Linux and Link for Windows.

Answered By - whiletrue