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zhzhcookie merged 2 commits into from
Jan 27, 2026
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[DOC] Fix Sunrise readme and build md, update Ascend build md #323

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e22d50b
[DOC] Fix Sunrise readme and build md
zhzhcookie Jan 27, 2026
9c67f89
[DOC] Update Ascend build md
zhzhcookie Jan 27, 2026
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -9,12 +9,12 @@ Currently in its initial phase, the project aims to maintain compatibility with
For upstream model users, it provides unified compilation capabilities across multiple backends; for downstream chip manufacturers, it offers examples of Triton ecosystem integration. <br>
Each backend is based on different versions of Triton, and therefore resides in different protected branches. All these protected branches have equal status.

|Branch|Vendor|Backend|Triton version|Build<br>from source|Source-free<br>Installation|
|:-----|:-----|:------|:-------------|:-------------------|:--------------------------|
|Branch|Vendor|Backend|Triton<br>version|Build<br>from source|Source-free<br>Installation|
|:-----|:-----|:------|:----------------|:-------------------|:--------------------------|
|[main](https://github.com/flagos-ai/flagtree/tree/main)|NVIDIA<br>AMD<br>x86_64 cpu<br>ILUVATAR（天数智芯）<br>Moore Threads（摩尔线程）<br>KLX<br>MetaX（沐曦股份）<br>HYGON（海光信息）|[nvidia](/third_party/nvidia/)<br>[amd](/third_party/amd/)<br>[triton-shared](https://github.com/microsoft/triton-shared)<br>[iluvatar](/third_party/iluvatar/)<br>[mthreads](/third_party/mthreads/)<br>[xpu](/third_party/xpu/)<br>[metax](/third_party/metax/)<br>[hcu](third_party/hcu/)|3.1<br>3.1<br>3.1<br>3.1<br>3.1<br>3.0<br>3.1<br>3.0|[nvidia](/documents/build.md#nvidia--amd-nvidia--amd)<br>[amd](/documents/build.md#nvidia--amd-nvidia--amd)<br>-<br>[iluvatar](/documents/build.md#iluvatar天数智芯iluvatar)<br>[mthreads](/documents/build_cn.md#moore-threads摩尔线程mthreads)<br>[xpu](/documents/build.md#klx-xpu)<br>-<br>[hcu](/documents/build.md#hygon海光信息hcu)|[Installation](/README.md#source-free-installation)|
|[triton_v3.2.x](https://github.com/flagos-ai/flagtree/tree/triton_v3.2.x)|NVIDIA<br>AMD<br>Huawei Ascend（华为昇腾）<br>Cambricon（寒武纪）|[nvidia](https://github.com/flagos-ai/FlagTree/tree/triton_v3.2.x/third_party/nvidia/)<br>[amd](https://github.com/flagos-ai/FlagTree/tree/triton_v3.2.x/third_party/amd/)<br>[ascend](https://github.com/flagos-ai/FlagTree/blob/triton_v3.2.x/third_party/ascend)<br>[cambricon](https://github.com/flagos-ai/FlagTree/tree/triton_v3.2.x/third_party/cambricon/)|3.2|[nvidia](/documents/build.md#nvidia--amd-nvidia--amd)<br>[amd](/documents/build.md#nvidia--amd-nvidia--amd)<br>[ascend](/documents/build.md#huawei-ascend华为昇腾ascend)<br>-|[Installation](/README.md#source-free-installation)|
|[triton_v3.3.x](https://github.com/flagos-ai/flagtree/tree/triton_v3.3.x)|NVIDIA<br>AMD<br>x86_64 cpu<br>ARM China（安谋科技）<br>Tsingmicro（清微智能）<br>Enflame（燧原）|[nvidia](https://github.com/flagos-ai/FlagTree/tree/triton_v3.3.x/third_party/nvidia/)<br>[amd](https://github.com/flagos-ai/FlagTree/tree/triton_v3.3.x/third_party/amd/)<br>[triton-shared](https://github.com/microsoft/triton-shared)<br>[aipu](https://github.com/flagos-ai/FlagTree/tree/triton_v3.3.x/third_party/aipu/)<br>[tsingmicro](https://github.com/flagos-ai/FlagTree/tree/triton_v3.3.x/third_party/tsingmicro/)<br>[enflame](https://github.com/flagos-ai/FlagTree/tree/triton_v3.3.x/third_party/enflame/)|3.3|[nvidia](/documents/build.md#nvidia--amd-nvidia--amd)<br>[amd](/documents/build.md#nvidia--amd-nvidia--amd)<br>-<br>[tsingmicro](/documents/build.md#tsingmicro清微智能tsingmicro)<br>[enflame](/documents/build.md#enflame燧原enflame)|[Installation](/README.md#source-free-installation)|
|[triton_v3.4.x](https://github.com/flagos-ai/flagtree/tree/triton_v3.4.x)|NVIDIA<br>AMD<br>sunrise（曦望芯科）|[nvidia](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/nvidia/)<br>[amd](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/amd/)<br>[sunrise](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/sunrise/)|3.4|[nvidia](/documents/build.md#nvidia--amd-nvidia--amd)<br>[amd](/documents/build.md#nvidia--amd-nvidia--amd)<br>[sunrise](/documents/build.md#sunrise曦望芯科sunrise)|[Installation](/README.md#source-free-installation)|
|[triton_v3.4.x](https://github.com/flagos-ai/flagtree/tree/triton_v3.4.x)|NVIDIA<br>AMD<br>Sunrise（曦望芯科）|[nvidia](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/nvidia/)<br>[amd](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/amd/)<br>[sunrise](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/sunrise/)|3.4|[nvidia](/documents/build.md#nvidia--amd-nvidia--amd)<br>[amd](/documents/build.md#nvidia--amd-nvidia--amd)<br>[sunrise](/documents/build.md#sunrise曦望芯科sunrise)|[Installation](/README.md#source-free-installation)|
|[triton_v3.5.x](https://github.com/flagos-ai/flagtree/tree/triton_v3.5.x)|NVIDIA<br>AMD|[nvidia](https://github.com/flagos-ai/FlagTree/tree/triton_v3.5.x/third_party/nvidia/)<br>[amd](https://github.com/flagos-ai/FlagTree/tree/triton_v3.5.x/third_party/amd/)|3.5|[nvidia](/documents/build.md#nvidia--amd-nvidia--amd)<br>[amd](/documents/build.md#nvidia--amd-nvidia--amd)<br>|[Installation](/README.md#source-free-installation)|

## Latest News
Expand Down
2 changes: 1 addition & 1 deletion README_cn.md
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Expand Up @@ -14,7 +14,7 @@ FlagTree 是面向多种 AI 芯片的开源、统一编译器，致力于打造
|[main](https://github.com/flagos-ai/flagtree/tree/main)|NVIDIA<br>AMD<br>x86_64 cpu<br>ILUVATAR（天数智芯）<br>Moore Threads（摩尔线程）<br>KLX<br>MetaX（沐曦股份）<br>HYGON（海光信息）|[nvidia](/third_party/nvidia/)<br>[amd](/third_party/amd/)<br>[triton-shared](https://github.com/microsoft/triton-shared)<br>[iluvatar](/third_party/iluvatar/)<br>[mthreads](/third_party/mthreads/)<br>[xpu](/third_party/xpu/)<br>[metax](/third_party/metax/)<br>[hcu](third_party/hcu/)|3.1<br>3.1<br>3.1<br>3.1<br>3.1<br>3.0<br>3.1<br>3.0|[nvidia](/documents/build.md#nvidia--amd-nvidia--amd)<br>[amd](/documents/build.md#nvidia--amd-nvidia--amd)<br>-<br>[iluvatar](/documents/build.md#iluvatar天数智芯iluvatar)<br>[mthreads](/documents/build_cn.md#moore-threads摩尔线程mthreads)<br>[xpu](/documents/build.md#klx-xpu)<br>-<br>[hcu](/documents/build.md#hygon海光信息hcu)|[免源码安装](/README_cn.md#免源码安装)|
|[triton_v3.2.x](https://github.com/flagos-ai/flagtree/tree/triton_v3.2.x)|NVIDIA<br>AMD<br>Huawei Ascend（华为昇腾）<br>Cambricon（寒武纪）|[nvidia](https://github.com/flagos-ai/FlagTree/tree/triton_v3.2.x/third_party/nvidia/)<br>[amd](https://github.com/flagos-ai/FlagTree/tree/triton_v3.2.x/third_party/amd/)<br>[ascend](https://github.com/flagos-ai/FlagTree/blob/triton_v3.2.x/third_party/ascend)<br>[cambricon](https://github.com/flagos-ai/FlagTree/tree/triton_v3.2.x/third_party/cambricon/)|3.2|[nvidia](/documents/build.md#nvidia--amd-nvidia--amd)<br>[amd](/documents/build.md#nvidia--amd-nvidia--amd)<br>[ascend](/documents/build.md#huawei-ascend华为昇腾ascend)<br>-|[免源码安装](/README_cn.md#免源码安装)|
|[triton_v3.3.x](https://github.com/flagos-ai/flagtree/tree/triton_v3.3.x)|NVIDIA<br>AMD<br>x86_64 cpu<br>ARM China（安谋科技）<br>Tsingmicro（清微智能）<br>Enflame（燧原）|[nvidia](https://github.com/flagos-ai/FlagTree/tree/triton_v3.3.x/third_party/nvidia/)<br>[amd](https://github.com/flagos-ai/FlagTree/tree/triton_v3.3.x/third_party/amd/)<br>[triton-shared](https://github.com/microsoft/triton-shared)<br>[aipu](https://github.com/flagos-ai/FlagTree/tree/triton_v3.3.x/third_party/aipu/)<br>[tsingmicro](https://github.com/flagos-ai/FlagTree/tree/triton_v3.3.x/third_party/tsingmicro/)<br>[enflame](https://github.com/flagos-ai/FlagTree/tree/triton_v3.3.x/third_party/enflame/)|3.3|[nvidia](/documents/build.md#nvidia--amd-nvidia--amd)<br>[amd](/documents/build.md#nvidia--amd-nvidia--amd)<br>-<br>[tsingmicro](/documents/build.md#tsingmicro清微智能tsingmicro)<br>[enflame](/documents/build.md#enflame燧原enflame)|[免源码安装](/README_cn.md#免源码安装)|
|[triton_v3.4.x](https://github.com/flagos-ai/flagtree/tree/triton_v3.4.x)|NVIDIA<br>AMD<br>sunrise（曦望芯科）|[nvidia](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/nvidia/)<br>[amd](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/amd/)<br>[sunrise](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/sunrise/)|3.4|[nvidia](/documents/build.md#nvidia--amd-nvidia--amd)<br>[amd](/documents/build.md#nvidia--amd-nvidia--amd)<br>[sunrise](/documents/build.md#sunrise曦望芯科sunrise)|[免源码安装](/README_cn.md#免源码安装)|
|[triton_v3.4.x](https://github.com/flagos-ai/flagtree/tree/triton_v3.4.x)|NVIDIA<br>AMD<br>Sunrise（曦望芯科）|[nvidia](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/nvidia/)<br>[amd](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/amd/)<br>[sunrise](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/sunrise/)|3.4|[nvidia](/documents/build.md#nvidia--amd-nvidia--amd)<br>[amd](/documents/build.md#nvidia--amd-nvidia--amd)<br>[sunrise](/documents/build.md#sunrise曦望芯科sunrise)|[免源码安装](/README_cn.md#免源码安装)|
|[triton_v3.5.x](https://github.com/flagos-ai/flagtree/tree/triton_v3.5.x)|NVIDIA<br>AMD|[nvidia](https://github.com/flagos-ai/FlagTree/tree/triton_v3.5.x/third_party/nvidia/)<br>[amd](https://github.com/flagos-ai/FlagTree/tree/triton_v3.5.x/third_party/amd/)|3.5|[nvidia](/documents/build.md#nvidia--amd-nvidia--amd)<br>[amd](/documents/build.md#nvidia--amd-nvidia--amd)<br>|[免源码安装](/README_cn.md#免源码安装)|

## 新特性
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14 changes: 7 additions & 7 deletions documents/build.md
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Expand Up @@ -161,14 +161,14 @@ python3 -m pip install . --no-build-isolation -v

```shell
# 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
chmod +x Ascend-cann-toolkit_8.5.0.alpha002_linux-aarch64.run
./Ascend-cann-toolkit_8.5.0.alpha002_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
chmod +x Ascend-cann-kernels-910b_8.5.0.alpha002_linux-aarch64.run
./Ascend-cann-kernels-910b_8.5.0.alpha002_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
chmod +x Atlas-A3-cann-kernels_8.5.0.alpha002_linux-aarch64.run
./Atlas-A3-cann-kernels_8.5.0.alpha002_linux-aarch64.run --install
```

##### 2. Manually download the FlagTree dependencies
Expand Down Expand Up @@ -236,7 +236,7 @@ export FLAGTREE_BACKEND=enflame
python3 -m pip install . --no-build-isolation -v
```

#### sunrise（曦望芯科）[sunrise](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/sunrise/)
#### Sunrise（曦望芯科）[sunrise](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/sunrise/)

- Based on Triton 3.4, x64

Expand Down
14 changes: 7 additions & 7 deletions documents/build_cn.md
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Expand Up @@ -160,14 +160,14 @@ python3 -m pip install . --no-build-isolation -v

```shell
# 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
chmod +x Ascend-cann-toolkit_8.5.0.alpha002_linux-aarch64.run
./Ascend-cann-toolkit_8.5.0.alpha002_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
chmod +x Ascend-cann-kernels-910b_8.5.0.alpha002_linux-aarch64.run
./Ascend-cann-kernels-910b_8.5.0.alpha002_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
chmod +x Atlas-A3-cann-kernels_8.5.0.alpha002_linux-aarch64.run
./Atlas-A3-cann-kernels_8.5.0.alpha002_linux-aarch64.run --install
```

##### 2. 手动下载 FlagTree 依赖库
Expand Down Expand Up @@ -235,7 +235,7 @@ export FLAGTREE_BACKEND=enflame
python3 -m pip install . --no-build-isolation -v
```

#### sunrise（曦望芯科）[sunrise](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/sunrise/)
#### Sunrise（曦望芯科）[sunrise](https://github.com/flagos-ai/FlagTree/tree/triton_v3.4.x/third_party/sunrise/)

- 对应的 Triton 版本为 3.4，基于 x64 平台

Expand Down
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