Is CUDA 11.0 compatible with Tensorflow 2.2? And if not, why is it the only CUDA version which can easily be downloaded from the official Nvidia website?
I am asking, because I keep getting the error, that some dynamic libraries do not exist, when trying to run Tensorflow with GPU support in PyCharm. The dynamic libraries are:
- libcudart.so.10.1
- libcufft.so.10
- libcurand.so.10
- libcusolver.so.10
- libcusparse.so.10
This issue is described here, where it is suggested to install CUDA 10.1 for Tensorflow 2.2. However I only find instructions on how to downgrade to CUDA 10.1 on unofficial websites like here. Why is there no official instructions from Nvidia where I can be sure that I do not break anything?
I followed all the Post-installation Actions. Also I set the environment variables ‘LD_LIBRARY_PATH=/usr/local/cuda-11.0/lib64’ in Pycharm. So the problem has to lie somewhere else.