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ca2ffc23ab
Improvements to unit tests and warnings for unsupported cases in offline tuning. Here are more details: - Previously we only compared the OpSig for the untuned vs. tuned entries. This was not strict enough so we now compare OpSig+ParamSig. - The main offline and online UTs are now stricter to make sure we exercise the code paths for the four combinations of transA and transB. - Offline tuning does not support some tensor shapes. Emit warning and skip tuning. Pull Request resolved: https://github.com/pytorch/pytorch/pull/150142 Approved by: https://github.com/jeffdaily Co-authored-by: Jeff Daily <jeff.daily@amd.com> |
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| .. | ||
| amp | ||
| __init__.py | ||
| _gpu_trace.py | ||
| _memory_viz.py | ||
| _sanitizer.py | ||
| _utils.py | ||
| comm.py | ||
| error.py | ||
| gds.py | ||
| graphs.py | ||
| jiterator.py | ||
| memory.py | ||
| nccl.py | ||
| nvtx.py | ||
| profiler.py | ||
| random.py | ||
| sparse.py | ||
| streams.py | ||
| tunable.py | ||