gemini-code-assist[bot] commented on PR #18576:
URL: https://github.com/apache/tvm/pull/18576#issuecomment-3636567545

   ## Summary of Changes
   
   Hello @Liberatedwinner, I'm Gemini Code Assist[^1]! 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 critical mathematical inaccuracies in the YaRN 
RoPE frequency scaling implementation. By aligning the formulas for frequency 
calculation and correction range determination with the original YaRN paper and 
a verified `gpt-oss` baseline, it eliminates discrepancies and ensures 
accurate, smoothly interpolated positional embeddings for large language models.
   
   ### Highlights
   
   * **YaRN RoPE Formula Correction**: The frequency scaling formula for YaRN 
RoPE has been corrected to align with the original paper and `gpt-oss` 
implementation, resolving observed discrepancies.
   * **Removed Floor/Ceil in Range Calculation**: The `tir.floor` and 
`tir.ceil` operations were removed from the `low` and `high` calculations 
within `yarn_find_correction_range`, as these were not present in the original 
YaRN paper and caused quantization errors.
   * **Linear Scaling Factor Application**: The `scaling_factor` in 
`rope_freq_yarn` is now applied linearly, ensuring uniform scaling across 
dimensions as per the YaRN method, instead of being affected by the exponent.
   * **Consistent Frequency Thresholds**: The `yarn_find_correction_range` 
function now correctly uses the total dimension size (`d_range`) instead of the 
current dimension index (`d`) to calculate thresholds, ensuring consistent ramp 
boundaries.
   
   
   
   
   
   
   
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