openai / tiktoken

tiktoken is a fast BPE tokeniser for use with OpenAI's models.
MIT License
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Optimize _byte_pair_merge function in BPE implementation #284

Open naveens01 opened 5 months ago

naveens01 commented 5 months ago

Description: The current implementation of the _byte_pair_merge function in the BPE code could benefit from optimization to improve performance. By applying certain optimizations, such as using inclusive range slicing and inlining closures, we can streamline the code and potentially enhance its efficiency.

Proposed Changes:

  1. Change loop range to use inclusive range slicing for readability and correctness.
  2. Move the get_rank closure inline to reduce overhead and improve readability.
  3. Avoid unnecessary cloning of parts by passing slices to the get_rank closure.
  4. Remove unnecessary references in closure parameters for clarity.

Expected Impact:

  1. Improved performance of the _byte_pair_merge function.
  2. Potential speedup in the overall BPE encoding process.

Additional Context: Optimizing critical functions like _byte_pair_merge can lead to significant performance improvements, especially in scenarios where BPE encoding is performed frequently or on large datasets. By addressing this optimization opportunity, we can enhance the overall efficiency and usability of the BPE implementation.

Related Files: bpe.rs (or relevant file containing the _byte_pair_merge function)