# flagtree **Repository Path**: flagtree/flagtree ## Basic Information - **Project Name**: flagtree - **Description**: 本仓库仅作为 flagtree 项目 github 仓库的镜像版本，FlagTree 团队根据生态惯例、项目管理等实际情况综合研判，暂不开放本 gitee 仓库的 issue、pull request等功能，如有需求请移步 https://github.com/FlagTree/flagtree 进行提交，同时感谢您对 FlagTree 生态/项目的关心与支持。 - **Primary Language**: C++ - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 8 - **Forks**: 1 - **Created**: 2025-03-28 - **Last Updated**: 2025-10-20 ## Categories & Tags **Categories**: ai **Tags**: None ## README [English](./README.md) ## FlagTree FlagTree 是面向多种 AI 芯片的开源、统一编译器。FlagTree 致力于打造多元 AI 芯片编译器及相关工具平台，发展和壮大 Triton 上下游生态。项目当前处于初期，目标是兼容现有适配方案，统一代码仓库，快速实现单仓库多后端支持。对于上游模型用户，提供多后端的统一编译能力；对于下游芯片厂商，提供 Triton 生态接入范例。 ## 从源代码安装安装依赖（注意使用正确的 python3.x 执行）： ```shell apt install zlib1g zlib1g-dev libxml2 libxml2-dev # ubuntu cd python; python3 -m pip install -r requirements.txt ``` 构建安装（网络畅通环境下推荐使用）： ```shell cd python export FLAGTREE_BACKEND=backendxxx python3 -m pip install . --no-build-isolation -v ``` ## 构建技巧自动下载依赖库的速度可能受限于网络环境，编译前可自行下载至缓存目录 ~/.flagtree（可通过环境变量 FLAGTREE_CACHE_DIR 修改），无需自行设置 LLVM_BUILD_DIR 等环境变量。
各后端完整构建命令如下：
[iluvatar](https://github.com/FlagTree/flagtree/tree/main/third_party/iluvatar/) ```shell # 推荐使用镜像 Ubuntu 20.04 mkdir -p ~/.flagtree/iluvatar; cd ~/.flagtree/iluvatar wget baai-cp-web.ks3-cn-beijing.ksyuncs.com/trans/iluvatar-llvm18-x86_64_v0.3.0.tar.gz tar zxvf iluvatar-llvm18-x86_64_v0.3.0.tar.gz wget baai-cp-web.ks3-cn-beijing.ksyuncs.com/trans/iluvatarTritonPlugin-cpython3.10-glibc2.30-glibcxx3.4.28-cxxabi1.3.12-ubuntu-x86_64_v0.3.0.tar.gz tar zxvf iluvatarTritonPlugin-cpython3.10-glibc2.30-glibcxx3.4.28-cxxabi1.3.12-ubuntu-x86_64_v0.3.0.tar.gz cd ${YOUR_CODE_DIR}/flagtree/python export FLAGTREE_BACKEND=iluvatar python3 -m pip install . --no-build-isolation -v ``` [xpu (klx)](https://github.com/FlagTree/flagtree/tree/main/third_party/xpu/) ```shell # 推荐使用镜像（22GB）https://su.bcebos.com/klx-sdk-release-public/xpytorch/docker/ubuntu2004_v030/ubuntu_2004_x86_64_v30.tar # 联系 kunlunxin-support@baidu.com 可获取进一步支持 mkdir -p ~/.flagtree/xpu; cd ~/.flagtree/xpu wget baai-cp-web.ks3-cn-beijing.ksyuncs.com/trans/XTDK-llvm19-ubuntu2004_x86_64_v0.3.0.tar.gz tar zxvf XTDK-llvm19-ubuntu2004_x86_64_v0.3.0.tar.gz wget baai-cp-web.ks3-cn-beijing.ksyuncs.com/trans/xre-Linux-x86_64_v0.3.0.tar.gz tar zxvf xre-Linux-x86_64_v0.3.0.tar.gz cd ${YOUR_CODE_DIR}/flagtree/python export FLAGTREE_BACKEND=xpu python3 -m pip install . --no-build-isolation -v ``` [mthreads](https://github.com/FlagTree/flagtree/tree/main/third_party/mthreads/) ```shell # 推荐使用镜像 flagtree/dockerfiles/Dockerfile-ubuntu22.04-python3.10-mthreads mkdir -p ~/.flagtree/mthreads; cd ~/.flagtree/mthreads wget baai-cp-web.ks3-cn-beijing.ksyuncs.com/trans/mthreads-llvm19-glibc2.34-glibcxx3.4.30-x64_v0.1.0.tar.gz tar zxvf mthreads-llvm19-glibc2.34-glibcxx3.4.30-x64_v0.1.0.tar.gz wget baai-cp-web.ks3-cn-beijing.ksyuncs.com/trans/mthreadsTritonPlugin-cpython3.10-glibc2.35-glibcxx3.4.30-cxxabi1.3.13-ubuntu-x86_64_v0.3.0.tar.gz tar zxvf mthreadsTritonPlugin-cpython3.10-glibc2.35-glibcxx3.4.30-cxxabi1.3.13-ubuntu-x86_64_v0.3.0.tar.gz cd ${YOUR_CODE_DIR}/flagtree/python export FLAGTREE_BACKEND=mthreads python3 -m pip install . --no-build-isolation -v ``` [aipu (arm npu)](https://github.com/FlagTree/flagtree/tree/triton_v3.3.x/third_party/aipu/) ```shell # 推荐使用镜像 Ubuntu 22.04 mkdir -p ~/.flagtree/aipu; cd ~/.flagtree/aipu # 模拟环境中使用 x64 版本，在 ARM 开发板上使用 arm64 版本 wget https://oaitriton.blob.core.windows.net/public/llvm-builds/llvm-a66376b0-ubuntu-x64.tar.gz tar zxvf llvm-a66376b0-ubuntu-x64.tar.gz cd ${YOUR_CODE_DIR}/flagtree/ git checkout -b triton_v3.3.x origin/triton_v3.3.x export FLAGTREE_BACKEND=aipu python3 -m pip install . --no-build-isolation -v ``` [tsingmicro](https://github.com/FlagTree/flagtree/tree/triton_v3.3.x/third_party/tsingmicro/) ```shell # 推荐使用镜像 Ubuntu 20.04 mkdir -p ~/.flagtree/tsingmicro; cd ~/.flagtree/tsingmicro wget baai-cp-web.ks3-cn-beijing.ksyuncs.com/trans/tsingmicro-llvm21-glibc2.30-glibcxx3.4.28-python3.11-x64_v0.2.0.tar.gz tar zxvf tsingmicro-llvm21-glibc2.30-glibcxx3.4.28-python3.11-x64_v0.2.0.tar.gz wget baai-cp-web.ks3-cn-beijing.ksyuncs.com/trans/tx8_depends_release_20250814_195126_v0.2.0.tar.gz tar zxvf tx8_depends_release_20250814_195126_v0.2.0.tar.gz export TX8_DEPS_ROOT=~/.flagtree/tsingmicro/tx8_deps cd ${YOUR_CODE_DIR}/flagtree/ git checkout -b triton_v3.3.x origin/triton_v3.3.x export FLAGTREE_BACKEND=tsingmicro python3 -m pip install . --no-build-isolation -v ``` [ascend](https://github.com/FlagTree/flagtree/blob/triton_v3.2.x/python/setup_tools/setup_helper.py) ```shell # 推荐使用镜像 flagtree/dockerfiles/Dockerfile-ubuntu22.04-python3.11-ascend # 在 https://www.hiascend.com/developer/download/community/result?module=cann # 注册账号后下载对应平台的 cann-toolkit、cann-kernels # cann-toolkit chmod +x Ascend-cann-toolkit_8.3.RC1.alpha001_linux-aarch64.run ./Ascend-cann-toolkit_8.3.RC1.alpha001_linux-aarch64.run --install # cann-kernels for 910B (A2) chmod +x Ascend-cann-kernels-910b_8.3.RC1.alpha001_linux-aarch64.run ./Ascend-cann-kernels-910b_8.3.RC1.alpha001_linux-aarch64.run --install # cann-kernels for 910C (A3) chmod +x Atlas-A3-cann-kernels_8.3.RC1.alpha001_linux-aarch64.run ./Atlas-A3-cann-kernels_8.3.RC1.alpha001_linux-aarch64.run --install # 构建安装 mkdir -p ~/.flagtree/ascend; cd ~/.flagtree/ascend wget https://oaitriton.blob.core.windows.net/public/llvm-builds/llvm-b5cc222d-ubuntu-arm64.tar.gz tar zxvf llvm-b5cc222d-ubuntu-arm64.tar.gz cd ${YOUR_CODE_DIR}/flagtree/python git checkout -b triton_v3.2.x origin/triton_v3.2.x export FLAGTREE_BACKEND=ascend python3 -m pip install . --no-build-isolation -v ``` [hcu](https://github.com/FlagTree/flagtree/tree/main/third_party/hcu/) ```shell # 推荐使用镜像 flagtree/dockerfiles/Dockerfile-ubuntu22.04-python3.10-hcu mkdir -p ~/.flagtree/hcu; cd ~/.flagtree/hcu wget baai-cp-web.ks3-cn-beijing.ksyuncs.com/trans/hcu-llvm20-df0864e-glibc2.35-glibcxx3.4.30-ubuntu-x86_64_v0.3.0.tar.gz tar zxvf hcu-llvm20-df0864e-glibc2.35-glibcxx3.4.30-ubuntu-x86_64_v0.3.0.tar.gz cd ${YOUR_CODE_DIR}/flagtree/python export FLAGTREE_BACKEND=hcu python3 -m pip install . --no-build-isolation -v ``` [nvidia](/third_party/nvidia/) 使用默认的构建命令，可以构建安装 nvidia、amd、triton_shared cpu 后端： ```shell cd ${YOUR_LLVM_DOWNLOAD_DIR} wget https://oaitriton.blob.core.windows.net/public/llvm-builds/llvm-10dc3a8e-ubuntu-x64.tar.gz tar zxvf llvm-10dc3a8e-ubuntu-x64.tar.gz cd ${YOUR_CODE_DIR}/flagtree/python export LLVM_SYSPATH=${YOUR_LLVM_DOWNLOAD_DIR}/llvm-10dc3a8e-ubuntu-x64 export LLVM_INCLUDE_DIRS=$LLVM_SYSPATH/include export LLVM_LIBRARY_DIR=$LLVM_SYSPATH/lib unset FLAGTREE_BACKEND python3 -m pip install . --no-build-isolation -v # 如果接下来需要构建安装其他后端，应清空 LLVM 相关环境变量 unset LLVM_SYSPATH LLVM_INCLUDE_DIRS LLVM_LIBRARY_DIR ``` ## 运行测试安装完成后可以在设备支持的环境下运行测试： ```shell # nvidia cd python/test python3 -m pytest -s # other backends cd third_party/backendxxx/python/test python3 -m pytest -s python3 test_xxx.py ``` ## 关于贡献欢迎参与 FlagTree 的开发并贡献代码，详情请参考[CONTRIBUTING.md](/CONTRIBUTING_cn.md)。 ## 许可证 FlagTree 使用 [MIT license](/LICENSE)。