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LLM 推理服务基准测试

本仓库包含了测试常见推理服务吞吐的代码以及相关的测试结果。

安装说明

基础环境

  • Python 3.9 或以上版本
  • Poetry (非必须)

请使用以下命令安装 Poetry:

pip install poetry

运行方式

[通过 pip 线上安装运行]

pip install ai_benchmarks
run-benchmark -h
run-app

[通过 pip手动构建安装运行]

  1. 构建包或以其他方式获取:

    cd ai-benchmarks && poetry build
    
  2. 安装包:

    pip install ai_benchmarks-x.x.x.tar.gz
    
  3. 接口运行方式:

    run-app
    
  4. 直接运行方式,-h查看帮助,默认执行配置文件默认测试端点:

    run-benchmark -h
    

[通过代码运行]

  1. 安装依赖:

    cd ai-benchmarks
    poetry安装
    poetry lock && poetry install
    requirements安装
    pip install -i https://mirrors.aliyun.com/pypi/simple/   -r .\requirements.txt
    
  2. benchmark.py 是主要的压测脚本,采用 asyncio、AsyncOpenAI 和 ProcessPoolExecutor等 实现多端压测框架。

  3. 直接运行压测:

    poetry run python -m inference.benchmark
    
  4. 启动接口压测:

    poetry run python -m inference.main
    
  5. 测试报告和结果:

    • 测试报告输出到 inference/report 文件夹。
    • 原始测试结果数据输出到 inference/results 文件夹,可使用 draw.ipynb 进行绘图。

配置文件说明

[section]                  # 支持多section
endpoint:                  # *必须提供一个有效的 endpoint
api_key:                   # 认证KEY
concurrent_requests:       # 同时并发的请求数
batch:                     # 执行批次
duration_enabled:          # 启用持续请求的时间限制(开启后不执行 concurrent_requests)[True/False]
duration_time:             # 请求持续时间,默认为 1 秒
duratio_interval:          # 持续/请求间隔,默认0.2秒
duration_batch:            # 请求持续时间内每次并发数量,默认为 10
ip:                        # 用户查询机器资源占用
username:                  # 用户名
password:                  # 密码
timeout:                   # 超时时间,默认 60 秒
max_retries:               # 最大重试次数,默认 1
max_connections:           # 最大连接数
max_keepalive_connections: # 最大保持活动连接数
model:                     # 自动获取,可手动添加
owned_by:                  # 自动获取,可手动添加
stream:                    # 流式回复默认关闭[True/False]
prompts:                   # 问题, 为空自动匹配默认问题, 格式 [{"id": 1, "prompt": "Output from 1 to 100"}, {"id": 2, "prompt": "List the top 10 most important people in history."},]

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