TensorRT-LLMs/benchmarks
Kaiyu Xie aaacc9bd68
Update TensorRT-LLM (#2562)
* Update TensorRT-LLM

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Co-authored-by: Starrick Liu <73152103+StarrickLiu@users.noreply.github.com>
2024-12-11 00:31:05 -08:00
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cpp Update TensorRT-LLM (#2562) 2024-12-11 00:31:05 -08:00
python Update TensorRT-LLM (#2532) 2024-12-04 21:16:56 +08:00
README.md Update TensorRT-LLM (#2413) 2024-11-05 16:27:06 +08:00

TensorRT-LLM Benchmarks

Overview

There are currently three workflows to benchmark TensorRT-LLM:

  • C++ benchmarks
    • The recommended workflow that uses TensorRT-LLM C++ API and can take advantage of the latest features of TensorRT-LLM.
  • Python benchmarks
    • The Python benchmarking scripts can only benchmark the Python runtime, which do not support the latest features, such as in-flight batching.
  • The Python benchmarking suite
    • This benchmarker is native to TensorRT-LLM and is a Python benchmarker for reproducing and testing the performance of TensorRT-LLM.
    • NOTE: This benchmarking suite is a current work in progress and is prone to large changes.