Add pruning-aware training in torchao.prototype.pat #3429
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/3429
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit ffa338e with merge base 534bea5 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Adding our pruning-aware training (PAT) library as a prototype. The original library is under fairinternal/qpat but we would like to surface it in torchao for broader adoption.
The interface is almost identical to torchao.prototype.parq, but we use (group) Lasso instead of piecewise-affine regularization. More details on code organization and usage can be found in the README.