I have encountered a problem when I tried to install tensorflow-gpu in my anaconda environment.
When I tested the availability of GPU after import of tensorflow, it seems that a dll library (cudasolver64_10.dll, provided normally with CUDA package) is missing and the test failed.
From Google, I saw that some guys copied from previous version of CUDA (eg CUDA 10.2, the dll and pasted it on the right folder). Is it the right thing to do? Should I try to compile Tensorflow by hands?
CUDA and CUDA DNN installed from Nvidia documentation and tests succeeded (regarding samples from CUDA folders).
CUDA DNN 8.05
Windows 10 Home
Visual Studio Community 2019
Framework: Anaconda, virtual environment created with python 3.8, installation of tensorflow from pip tf-nightly-gpu (le latest dev package from 20201210)
Thank you for your answer.