Fusing a mat mul op followed by a scale op on the CPU #5
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Outdated suggestions cannot be applied.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.
This is useful for Bitnet here we have almost all matrix multiplications be followed by scale operations.
As a result, we get a ~2% boost in Bitnet PP performance.
Implementation is easy when the matrix multiplication is done by
iqk_mul_mat
. But ifiqk_mul_mat
is not implemented for the quant type/architecture, we need to add the scaling to llamafile sgemm and toggml
itself, which is way more messy, so I didn't do it yet.Given that Bitnet is just a niche thing for now, I'll just leave it on a draft PR for now.