Question about torch training reproducibility.
I set the random seed and cudnn as below:

random.seed(1)
torch.manual_seed(1)
torch.cuda.manual_seed(1)
np.random.seed(1)
torch.backends.cudnn.deterministic = True

It works well in torch v0.4.0, but when I upgraded it to v1.0.0, the training loss became irreproducible.
My environment as below:

torch v0.4.0, Cuda 8.0, Cudnn  6.0.21, Ubuntu 16.04, GPU GTX1070.
torch v1.0.0, Cuda 10.0, Cudnn 7.3.1.20, Ubuntu 18.04, GPU RTX2080TI

Can anyone help me?