Hi, so I installed TensorFlow in WSL2 following the methods mentioned in this article except for TensorRT. Well now TensorFlow is installed, and it detects my GPU, but when I run a TensorFlow model, it runs on my CPU. I am new to deep learning, I guess we don’t have to pass anything like "device=‘GPU’/‘cuda’ ", to get the model run on GPU, right?
When I run the model in VS Code in WSL, the CPU bar rises in the “Task Manager”, but the GPU bar is idle.
It will be help if you can make a video of this process, as going forward TensorFlow GPU support is only available in WSL.
Thanks in advance.