I have 3 different GPUs available and do not experience deterministic behavior. My GPUs are:
GeForce GTX 1080 Ti
GeForce RTX 2080 Ti
Tesla P100-PCIE-16GB
Im using PyTorch version 1.3.1 and currently using the following settings to try to achieve the same reproducible result:
seed = 3
torch.manual_seed(seed)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
torch.cuda.manual_seed_all(seed)
random.seed(seed)
np.random.seed(seed)

I run resnet32 and running 3 different experiments for 2 epochs and predicting with the trained model. I then get the following results:
GeForce GTX 1080 Ti   : 0.33333
GeForce RTX 2080 Ti   : 0.20000
Tesla P100-PCIE-16GB : 0.33333
I dont really know why I achieve the same results on the GTX 1080 and Tesla P100 and not with the RTX 2080?
Is there something I am missing?