TensorRT-LLMs/benchmarks
Kaiyu Xie 385626572d
Update TensorRT-LLM (#2502)
* Update TensorRT-LLM

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Co-authored-by: 岑灿 <yunyi.hyy@alibaba-inc.com>
2024-11-26 16:51:34 +08:00
..
cpp Update TensorRT-LLM (#2502) 2024-11-26 16:51:34 +08:00
python Update TensorRT-LLM (#2413) 2024-11-05 16:27:06 +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.