I have Windows 10 , a Geforce 1060 6GB and I have installed CUDA 10. What I would like is to use tensorflow gpu for deep learning purposes. I have installed tensorflow-gpu 1.11
I installed some C++ compilers in Microsoft Visual basic 2017 prior to CUDA 10 installation.
I tried CUDA which was compatible with the graphic card but not CUDA 9.
Then , I copied the cudnn 7.3.1 (latest) .dll into the bin located in CUDA/bin.
Problem is…tensorflow doesn’t still recognize my GPU (recognize only the CPU but printed “CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2”).
Version of keras 2.2 are still not compatible with tensorflow 1.11.
I checked te version of CUDA and it worked ,it is the 10 version printed out.
However I tried the C++ compiling tests (I tried to compile the bandwidth project in Microsoft Visual Studio loacted in CUDA Samples ) but it seemed to fail.
Can someone help me please , I am a bit desperate !