[ROCm] HIP stream priority fix post #101956 (#106157)
PR #101956 introduced additional stream priorities for cuda streams. HIP streams have slightly different semantics.
- HIP: 1=low, 0=default, -1=high
- CUDA: 0=default, -1=high, -2=higher, etc.
This PR forces HIP stream priority to just 0 and -1 to match the pytorch semantics.
This fixes a broken unit test.
```
python3 test_cuda_multigpu.py TestCudaMultiGPU.test_streams_priority -v
Test results will be stored in test-reports/python-unittest/test_cuda_multigpu
Running tests...
----------------------------------------------------------------------
test_streams_priority (__main__.TestCudaMultiGPU) ... ERROR (0.200s)
======================================================================
ERROR [0.200s]: test_streams_priority (__main__.TestCudaMultiGPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_internal/common_utils.py", line 2354, in wrapper
method(*args, **kwargs)
File "test_cuda_multigpu.py", line 656, in test_streams_priority
low, high = torch.cuda.Stream.priority_range()
RuntimeError: least_priority == 0 INTERNAL ASSERT FAILED at "/var/lib/jenkins/pytorch-upstream/c10/hip/HIPStream.h":184, please report a bug to PyTorch. Unexpected HIP stream priority range
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/106157
Approved by: https://github.com/malfet
