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[Transform] SpinQuant R4 #1746
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[Transform] SpinQuant R4 #1746
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Signed-off-by: Kyle Sayers <[email protected]>
👋 Hi! Thank you for contributing to llm-compressor. Please add the ready label when the PR is ready for review. Note: This is required to complete the testing suite, please only add the label once the PR is code complete and local testing has been performed. |
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Summary of Changes
Hello @kylesayrs, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request introduces the implementation of SpinQuant R4 transformations, allowing them to be applied independently. This is a significant step as R4 transformations do not require hooking into the attention module, simplifying their application compared to R3. The changes primarily involve enabling the R4 scheme definition and updating related NotImplementedError
messages to reflect this new capability.
Highlights
- SpinQuant R4 Scheme Implementation: The
_create_r4_scheme
method has been fully implemented to define the transformation scheme for SpinQuant R4. This includes specifying thetransform_type
,randomize
,requires_grad
,precision
, and theapply
arguments withTransformArgs
targetingmlp_out
for both 'input' and 'weight_input' locations. - Refined R3 and R4 Scheme Status Messages: The
NotImplementedError
messages for both R3 and R4 scheme creation methods have been updated. R4's error message was removed as it's now implemented, and R3's message was refined to specifically state that R3 rotations are still a future addition, clearly separating the status of R3 and R4. - Minor Error Message Refinement: A minor textual change was made to the
NotImplementedError
message within thevalidate_not_implemented
field validator, updating 'right now' to 'as of now' for unsupported 'randomize' and 'learnable' fields.
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Code Review
This pull request introduces support for SpinQuant R4 transforms, which is a good step forward. The implementation of _create_r4_scheme
correctly defines the transform scheme for R4 by targeting the MLP output layers, which aligns with the method described in the SpinQuant paper. The changes are clear and well-contained. I have one minor suggestion to ensure file formatting consistency.
inverse=True, | ||
), | ||
], | ||
) |
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Purpose
Prerequisites
Testing