Arch Linux

Description:

My GPU is Radeon RX 580 2048SP. When creating a GPU tensor in pytorch, python crashes with the stack trace pointing to a rocm function.

Additional info:
* package version(s): python-pytorch-opt-rocm 1.13.1-1
* config and/or log files etc:
`coredumpctl gdb` output is as follows:
```
#0 0x00007f1c234d9cd8 in () at /opt/rocm/hip/lib/libamdhip64.so.5
#1 0x00007f1c234a9d5f in () at /opt/rocm/hip/lib/libamdhip64.so.5
#2 0x00007f1c235fb2a3 in () at /opt/rocm/hip/lib/libamdhip64.so.5
#3 0x00007f1c235db3f2 in () at /opt/rocm/hip/lib/libamdhip64.so.5
#4 0x00007f1c235dd1bb in hipLaunchKernel () at /opt/rocm/hip/lib/libamdhip64.so.5
#5 0x00007f1c25399e07 in void at::native::gpu_kernel_impl<at::native::AbsFunctor<float> >(at::TensorIteratorBase&, at::native::AbsFunctor<float> const&) () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_hip.so
#6 0x00007f1c2538f5b4 in at::native::abs_kernel_cuda(at::TensorIteratorBase&) () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_hip.so
#7 0x00007f1c5183032e in () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so
#8 0x00007f1c26bafeb2 in () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_hip.so
#9 0x00007f1c51dbfc48 in at::_ops::abs_out::call(at::Tensor const&, at::Tensor&) () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so
#10 0x00007f1c5182fa1a in at::native::abs(at::Tensor const&) () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so
#11 0x00007f1c52430116 in () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so
#12 0x00007f1c51d60889 in at::_ops::abs::redispatch(c10::DispatchKeySet, at::Tensor const&) () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so
#13 0x00007f1c54334f9e in () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so
#14 0x00007f1c54335698 in () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so
#15 0x00007f1c51db49f8 in at::_ops::abs::call(at::Tensor const&) () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so
#16 0x00007f1c517afcd9 in at::native::isfinite(at::Tensor const&) () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so
#17 0x00007f1c525f78c6 in () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so
#18 0x00007f1c5209a7b8 in at::_ops::isfinite::call(at::Tensor const&) () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so
#19 0x00007f1c64777df8 in () at /usr/lib/python3.10/site-packages/torch/lib/libtorch_python.so
#20 0x00007f1c70555e21 in () at /usr/lib/libpython3.10.so.1.0
#21 0x00007f1c7054f4eb in _PyObject_MakeTpCall () at /usr/lib/libpython3.10.so.1.0
#22 0x00007f1c7054a8ee in _PyEval_EvalFrameDefault () at /usr/lib/libpython3.10.so.1.0
......
```

Steps to reproduce:

```python
import torch
a = torch.rand(5, 3)
a.cuda()
```