Recently, I am trying to use GPU to train a model with CUDA and WSL2 to speed up the training process.
However, in my experiment, I found only my GPU’s memory was used, but the utilization of the GPU is almost 0% and computation seemed to be done by CPU. I would be very grateful if someone can help me out.
BTW, I am using TensorFlow -2.3.1, Cuda 10.1, and CuDNN 7.