Tensorflow 2.3 doesn't find GPU

Question

For some reason my GPU is not used by tensorflow. When I run tf.test.is_built_with_cuda() it returns False . I have tensorflow-gpu installed, version 2.3. Also I installed CUDA 10.1 along with cuDNN 7.65 and have the correct environment variables.

When I ran nvcc -V in the console it verifies that my CUDA is release 10.1, V10.1.243

When I ran nvidia-smi it shows that my Driver version is 460.79 and the CUDA version is 11.2

Do I maybe need to downgrade my GPU driver?

Answer 1

I too have the same problem, but when I installed PyTorch it correctly detected my GPU, previously tf 2.1.0 was working fine.

Maybe it's a bug.

I will try to install tf 2.1 and see whether it detects the GPU or not.

UPDATE 1/7/2021: Tried installing the tf 2.1.0 version through conda installation but it didn't work.

Tensorflow was able to detect my gpu.I uninstalled the tf from conda installation and installed it through pip .I think the conda version doesn't detect the gpu.Make sure you the tensorflow version you are installing matches the requirement of the CUDA and cudnn library.

My current configuration: tensorflow-gpu : 2.3.0

CUDA :7.6.5

cudnn :10.1