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Apache-2.0

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acl

概述

ACL作为AI计算语言开发和运行平台,提供了Device管理、Context管理、Stream管理、内存管理、模型加载与执行、算子加载与执行、媒体数据处理等API,供用户开发AI应用,实现目标识别、图像分类、语言和文字处理等功能。

目录结构说明

本源码仓目录结构如下:

├── c                     # 轻量化图执行
├── common                # 基础接口
├── inc                   # 头文件
├── model                 # 模型推理
├── runtime               # 运行时接口
├── single_op             # 单算子模型
├── stub                  # 桩实现
├── tensor_data_transfer  # 用于Host与Device之间传递Tensor数据接口
├── tests                 # 开发者测试目录
├── third_party           # 依赖的三方库
├── toolchain             # profiling/dump工具
├── utils                 # 工具方法类

环境准备

ACL支持源码编译,在源码编译前,请确保环境满足如下要求:

  • 已安装CANN开发套件包(Ascend-cann-toolkit_<cann_version>_linux_<arch>)。

    CANN开发套件软件包请从Link获取,支持的安装方式及操作系统请参见配套版本的用户手册

    CANN开发套件包安装命令示例:

    • 使用默认路径安装

      ./Ascend-cann-toolkit_<cann_version>_linux_<arch>.run --install
      
      • 若使用root用户安装,安装完成后相关软件存储在/usr/local/Ascend/ascend-toolkit/latest路径下。
      • 若使用非root用户安装,安装完成后相关软件存储在$HOME/Ascend/ascend-toolkit/latest路径下。
    • 指定路径安装

      # CANN开发套件包安装命令示例:
      ./Ascend-cann-toolkit_<cann_version>_linux-<arch>.run --install --install-path=${install_path}
      

    安装完成后,相关软件存储在${install_path}指定路径下。

  • 已安装以下依赖:

    • GCC >= 7.3.0

    • CMake >= 3.14.0 (建议使用3.20.0版本)

    • ccache

      compile cache,编译器缓存优化工具,加快二次编译速度。

      # 安装命令示例:
      sudo apt-get install ccache
      
    • bash >= 5.1.16

      由于测试用例开启了地址消毒,代码中执行system函数会触发低版本的bash被地址消毒检查出内存泄露。建议版本不低于5.1.16。

源码下载

ACL源码托管在码云平台,可以使用如下命令下载:

git clone https://gitee.com/cann/acl.git
cd acl
git submodule init && git submodule update --recursive

配置环境变量

配置ASCEND_INSTALL_PATH环境变量,指定Ascend-cann-toolkit安装后相关软件存储路径。

  • Ascend-cann-toolkit使用root用户、默认路径安装场景,配置示例:

    export ASCEND_INSTALL_PATH=/usr/local/Ascend/ascend-toolkit/latest
    
  • Ascend-cann-toolkit使用非root用户、默认路径安装场景,配置示例:

    export ASCEND_INSTALL_PATH=$HOME/Ascend/ascend-toolkit/latest
    
  • Ascend-cann-toolkit指定路径安装场景,若安装路径为${install_path},配置示例:

    export ASCEND_INSTALL_PATH=${install_path}/ascend-toolkit/latest
    

说明:

若开发者使用IDE CLion进行后续的源码编译与测试用例执行,编译执行前需要进行CLion的CMake配置,详细请参见CLion配置

编译第三方库

ACL仓依赖一些第三方库, 在正式编译ACL之前,需要先完成三方库的编译操作,其命令为:

bash build_third_party.sh --output_path=${THIRD_LIB_PATH}

此命令下载所有依赖的第三方库源码包,然后执行编译操作,并将编译结果复制到输出目录。

  • third_party_pkg_path参数

    如果指定了此参数,则脚本会从其指定的目录下取第三方库源码包,否则就会在线下载。

  • enable_github参数

    在线下载的第三方库源码包有两个来源,分别是giteegithub。当没有指定third_party_pkg_path参数时,脚本就会在线下载第三方库源码包,此时如果指定了enable_github参数,就会从github下载,否则从gitee下载。

  • output_path参数

    编译结果目录由此参数指定,其默认值为./output/third_party。编译第三方库的输出结果目录可以长期保存,不需要每次重新编译,除非所依赖的第三方库有变更。

您可以通过bash build_third_party.sh -h命令查看脚本选项的详细描述。

当指定的源码目录为本地目录时,要求其目录结构为:

some-path-name
└── libs
    ├── abseil-cpp
    │   └── abseil-cpp-20220623.1.tar.gz
    ├── benchmark
    │   └── v1.5.5.tar.gz
    ├── boost
    │   └── boost_1_82_0.tar.gz
    ├── cares
    │   └── c-ares-cares-1_18_1.tar.gz
    ├── ge_gtest
    │   └── release-1.11.0.tar.gz
    ├── ge_nlohmann_json
    │   └── v3.11.2
    │       └── include.zip
    ├── grpc
    │   └── grpc-v1.41.1.tar.gz
    ├── libjpeg-turbo
    │   └── 2.1.1.tar.gz
    ├── openssl
    │   └── openssl-3.0.9.tar.gz
    ├── protobuf
    │   └── v3.13.0.tar.gz
    ├── pybind11
    │   └── v2.10.3.tar.gz
    ├── re2
    │   └── re2-2021-11-01.tar.gz
    ├── symengine
    │   └── v0.10.1.zip
    └── zlib
        └── zlib-v1.2.13.tar.gz

编译

ACL提供一键式编译能力,可通过如下命令进行编译:

  bash build.sh --ascend_install_path=${ASCEND_INSTALL_PATH} --ascend_3rd_lib_path=${THIRD_LIB_PATH}

--ascend_install_path选项的默认值为/usr/local/Ascend/ascend-toolkit/latest,编译完成后会在output/package目录下生成CANN-acl-linux.{x86_64/aarch64}.run软件包。

build.sh脚本默认从./output/third_party下查找三方库,若在执行build_third_party.sh时,指定了其他生成三方库的目录,可以通过build.sh --ascend_3rd_lib_path=<指定的三方库路径>选项做配置。

更多编译参数可以通过bash build.sh -h查看。

本地验证

说明:UT测试用例不支持使用root用户执行,请使用非root用户执行以下命令。

编译完成后,用户可进行开发测试(DT:Development Testing )。

  • 编译执行所有的UT测试用例:

    bash tests/run_test.sh --ut --ascend_install_path=${ASCEND_INSTALL_PATH} --ascend_3rd_lib_path=${THIRD_LIB_PATH}
    

UT测试用例编译输出目录为build_ut,如果想清除历史编译记录,可以如下操作:

rm -rf build_ut/ output/ build/

注:tests/run_test.sh脚本支持的详细命令参数可以执行bash tests/run_test.sh -h查看。

安装

本地验证完成后,可执行如下命令安装编译生成的ACL软件包。

./CANN-acl-linux.{x86_64/aarch64}.run --full --install-path=${install_path}/ascend-toolkit

回滚

若您想回退安装的自定义ACL软件包,恢复到安装Ascend-cann-toolkit后的状态,可执行如下命令。

./CANN-acl-linux.{x86_64/aarch64}.run --rollback --install-path=${install_path}/ascend-toolkit

贡献指南

ACL仓欢迎广大开发者体验并参与贡献,在参与社区贡献前,请参见cann-community了解行为准则,进行CLA协议签署,了解参与贡献的详细流程。

针对ACL仓,开发者准备本地代码与提交PR时需要重点关注如下几点:

  1. 请输出满足Google编程规范的代码,详细可参见Google 开源项目风格指南
  2. 提交PR时,请按照PR模板仔细填写本次PR的业务背景、目的、方案等信息。
  3. 若您的修改不是简单的bug修复,而是涉及到新增特性、新增接口、新增配置参数或者修改代码流程等,请务必先通过Issue进行方案讨论,以避免您的代码被拒绝合入。若您不确定本次修改是否可被归为“简单的bug修复”,亦可通过提交Issue进行方案讨论。

附录

CLion配置

若开发者使用IDE CLion编译源码并执行测试用例,编译执行前需要进行如配置:

  1. 在菜单栏选择“File -> Settings”,进入“Settings”配置页面。
  2. 在“Settings”窗口左侧选择“Build,Execution,Deployment -> CMake”,进入“CMake”配置界面。
  3. 在“CMake”配置界面进行如下配置。
    • Build type,设置为“GCOV”。
    • CMake options,设置为如下值:
      -DENABLE_OPEN_SRC=True
      -DENABLE_ACL_UT=ON
      -DASCEND_INSTALL_PATH=${ASCEND_INSTALL_PATH}
      -DASCEND_3RD_LIB_PATH=${THIRD_LIB_PATH}
      
      关于ASCEND_INSTALL_PATH的取值说明请参见配置环境变量
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简介

ACL作为AI计算语言开发和运行平台,提供了Device管理、Context管理、Stream管理、内存管理、模型加载与执行、算子加载与执行、媒体数据处理等API,供用户开发AI应用,实现目标识别、图像分类、语言和文字处理等功能。 展开 收起
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