I have more than one local machine with nv-docker. Now in nv-docker container, I use tensorflow and torch library for accelerating. The question is different local machines with running on the same nv-docker image have the same computing result?
The way I did is
- Try keeping the all random seed the same (ex tensorflow.set_random_seed(1234))
- Make sure they run on the same docker image
- nvidia-driver are the same version and only a gpu is visible (ex os.environ[“CUDA_VISIBLE_DEVICES”] = “0”)
with no luck, I still got the different result. Could someone explain me about? I have got confused a long time.
docker image environment: