[ROCm] reduce tolerance for triangular solve with well_conditioned set to True (#104425)
Current test case causes an edge case tensor input that causes a single generated tensor to fail the tolerance assertion on ROCm only and only for float32. We have reviewed the logic with our libraries team and have discovered the discrepancy is due to a difference in order of operations on AMD GPUs. They came back with "working as intended" and found no perceivable bug. Interestingly, if we change the values in ks, ns, or bs, the test passes on ROCm. These particular sizes in this particular order generates a single problematic input that causes the assertion to fail the tolerance check by ~0.07. Again, this is not a bug, just differences in implementation. This PR loosens the tolerance for ROCm only.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/104425
Approved by: https://github.com/jeffdaily, https://github.com/nikitaved, https://github.com/lezcano
