Unpin transformers to support 4.53 #1609
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Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>
Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>
Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>
Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>
Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>
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👋 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 primarily aims to update the allowed version range for the transformers library, enabling compatibility with newer versions, including 4.53 and beyond. To ensure continued functionality and stability with these updated dependencies, several adjustments have been made to the tracing mechanisms, particularly concerning how attention mask creation functions are handled during model tracing.
Highlights
- Dependency Update: The
transformerslibrary dependency insetup.pyhas been unpinned, removing the upper version limit of<4.53.0to allow for installation of newer versions. - Expanded Tracing Ignore List: The
tracing_ignorelist inDatasetArgumentshas been significantly expanded to include a comprehensive set of attention mask creation functions, preventing them from being traced. - Centralized Tracing Ignore Configuration: The
debug.pyscript now dynamically retrieves the default tracing ignore list fromDatasetArguments, ensuring consistency across the codebase. - Tracer Integration for Masking: The
SequentialTracernow explicitly incorporates known mask function patterns from thetransformerslibrary into itsautowrap_functionslist, further refining the tracing process for compatibility. - Autowrapper Debug Logging Refinement: Debug logging within the
auto_wrapper.pymodule has been refactored to be more precise, logging the created function definition only after it has been fully constructed.
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Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>
Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>
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FYI cannot land until nightly passes: https://github.com/neuralmagic/llm-compressor-testing/actions/runs/15985058411 Seems to be vllm issues |
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Custom Run: https://github.com/neuralmagic/llm-compressor-testing/actions/runs/16120509664 (for e2e) |
## Prerequisites ## * vllm-project#1599 --------- Signed-off-by: Kyle Sayers <kylesayrs@gmail.com> Co-authored-by: Dipika Sikka <dipikasikka1@gmail.com>
Prerequisites