Hi!
I'm excited to announce that the full ROCm stack moved from [testing] to
[community] today. To celebrate this, PyTorch packages with ROCm support
are now in [community]! A simple code to check if the ROCm backend works
on your machine is
if torch.cuda.is_available() and torch.version.hip:
   d = torch.device('cuda')
   a = torch.rand(1, 2).to(d)
   print(a + 0)
   print("TESTS PASSED!")
else:
   print("ROCm not supported with PyTorch installation")
After you installed python-pytorch-rocm or the optimized
python-pytorch-opt-rocm from [community], save the code snippet as
rocm.py and run
python rocm.py
The output should be similar to
tensor([[0.9949, 0.5596]], device='cuda:0')
TESTS PASSED!
Cheers,
Torsten