Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
What does this PR do?
This adds an
HqqOptimizer
that implements the algorithm described in "Half-Quadratic Quantization of Large Machine Learning Models", by Hicham Badri and Appu Shaji (https://mobiusml.github.io/hqq_blog/).This is an adaption of the original implementation at https://github.com/mobiusml/hqq.
This optimizer is included more as an illustration than a real solution to address performance drop when quantizing models to
qint4
orqint2
, as it often produces models that achieve a worse performance than the ones produced by the vanillaMaxOptimizer
(this confirms some numbers reported by several research papers).