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[Python][Relax] Fix YaRN correction dim calculation #18625
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Summary of ChangesHello @akaashrp, 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 addresses an issue in the YaRN correction dimension calculation within the TVM Relax frontend. The primary goal is to align the mathematical operations with TVM's Tensor IR (TIR) framework by replacing native Python math functions with their TIR equivalents. This modification is crucial for ensuring that these calculations are correctly represented and optimized when compiled by TVM, thereby improving the overall robustness and performance of the YaRN position embedding implementation. Highlights
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Code Review
This pull request refactors the yarn_find_correction_dim function to use TIR constructs (tir.log, tir.const) instead of Python's math functions. This change ensures that the logarithmic computations are represented within the TIR expression graph, which is the correct approach for building symbolic computations in TVM. The change is correct and improves the consistency of the codebase. I have no further comments.
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I noticed an issue with this change. |
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@Liberatedwinner are there specific models or commands for which you run into this issue? |
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Please run the code file I attached. The result of test code is: Using
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I'm able to see that the outputs look different for the PR version and the original version. However, I'm also able to compile models that use YaRN without issue on metal. Could you point me to a codegen path I could run so that I can arrive at the |
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Would you mind checking the error with this file? |
Replace expressions with TIR constructs