TensorRT-LLMs/benchmarks
石晓伟 8f91cff22e
TensorRT-LLM Release 0.15.0 (#2529)
Co-authored-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
2024-12-04 13:44:56 +08:00
..
cpp TensorRT-LLM Release 0.15.0 (#2529) 2024-12-04 13:44:56 +08:00
python TensorRT-LLM Release 0.15.0 (#2529) 2024-12-04 13:44:56 +08:00
README.md Update TensorRT-LLM v0.14.0 (#2401) 2024-11-01 19:48:44 +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.