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[Transform] SpinQuant R4 #1746

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Purpose

  • Support R4 transforms before R3. R3 requires hooking into the attention module, where as R4 does not

Prerequisites

Testing

  • TODO:

Signed-off-by: Kyle Sayers <[email protected]>
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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 the transform_type, randomize, requires_grad, precision, and the apply arguments with TransformArgs targeting mlp_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 the validate_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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medium

It's a good practice to end files with a newline character. This helps prevent issues with file concatenation and some version control systems. This file is missing one.

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