PyTorch with ROCm in [community]

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