Having installed tensorflow GPU (running on a measly NVIDIA GeForce 950), I would like to compare performance with the CPU.
I am running the tensorFlow MNIST tutorial c
Quite a long time elapsed. Recent versions of Tensorflow (at least from 2.0 on) don't require installing both versions with and without gpu support, so you can launch two separate jupyter-notebook
instances. Following @Yaroslav's advice:
$ CUDA_VISIBLE_DEVICES="" jupyter-notebook &
$ jupyter-notebook &
You will then have two separate jupyter clients open in your browser, typically http://localhost:8888/
and http://localhost:8889/
, respectively without and with GPU support, where you can run the same .ipynb notebook and measure the performance difference.