install_ascend.md

June 26, 2026 · View on GitHub

💫 Huawei Ascend（华为昇腾）ascend (Triton 3.5)

Based on Triton 3.5, aarch64
Available for 910B, 910C

1. Build and run environment

1.1 Use the image (910B)

If your network connection is available, you do not need to perform the later step 1.x, because dependencies will be fetched automatically during the build.

# Plan A: docker pull (13.3GB)
IMAGE=harbor.baai.ac.cn/flagtree/flagtree-ascend3.5-910b-py311-cann9.0.0-ubuntu22.04-aarch64:202606-torch2.9.0-base
docker pull ${IMAGE}
# Plan B: docker load (4.8GB)
IMAGE=flagtree-ascend3.5-910b-py311-cann9.0.0-ubuntu22.04-aarch64:202606-torch2.9.0-base
wget https://baai-cp-web.ks3-cn-beijing.ksyuncs.com/trans/flagtree-ascend3.5-910b-py311-cann9.0.0-ubuntu22.04-aarch64.202606-torch2.9.0-base.tar.gz
docker load -i flagtree-ascend3.5-910b-py311-cann9.0.0-ubuntu22.04-aarch64.202606-torch2.9.0-base.tar.gz

CONTAINER=flagtree-dev-xxx
docker run -dit -u 0 --user=root \
    --network=host --pid=host --ipc=host --privileged \
    -v /usr/local/Ascend/driver:/usr/local/Ascend/driver \
    -v /usr/local/Ascend/add-ons/:/usr/local/Ascend/add-ons/ \
    -v /usr/local/sbin/:/usr/local/sbin/ \
    -v /etc/ascend_install.info:/etc/ascend_install.info \
    --device=/dev/davinci0 --device=/dev/davinci1 \
    --device=/dev/davinci2 --device=/dev/davinci3 \
    --device=/dev/davinci4 --device=/dev/davinci5 \
    --device=/dev/davinci6 --device=/dev/davinci7 \
    --device=/dev/davinci_manager --device=/dev/devmm_svm --device=/dev/hisi_hdc \
    -v /etc/localtime:/etc/localtime:ro \
    -v /data:/data -v /home:/home -v /tmp:/tmp \
    -w /root --name ${CONTAINER} ${IMAGE} bash
docker exec -it ${CONTAINER} /bin/bash

1.2 Install CANN

A2 CANN is already installed in the 910B image. For 910C, register an account at https://www.hiascend.com/developer/download/community/result?module=cann and download the corresponding cann-ops for your platform.

# cann-toolkit (A2|A3)
chmod +x Ascend-cann-toolkit_9.0.0_linux-aarch64.run
./Ascend-cann-toolkit_9.0.0_linux-aarch64.run --install
# cann-ops for 910B (A2)
chmod +x Ascend-cann-910b-ops_9.0.0_linux-aarch64.run
./Ascend-cann-910b-ops_9.0.0_linux-aarch64.run --install
# cann-ops for 910C (A3)
chmod +x Ascend-cann-A3-ops_9.0.0_linux-aarch64.run
./Ascend-cann-A3-ops_9.0.0_linux-aarch64.run --install

1.3 Manually download the FlagTree dependencies

mkdir -p ~/.flagtree/ascend; cd ~/.flagtree/ascend
wget https://baai-cp-web.ks3-cn-beijing.ksyuncs.com/trans/llvm-7d5de303-ubuntu-aarch64-python311-compat_v0.6.0.tar.gz
tar zxvf llvm-7d5de303-ubuntu-aarch64-python311-compat_v0.6.0.tar.gz

cd ${YOUR_CODE_DIR}/FlagTree/third_party
git clone https://github.com/flagos-ai/flir.git

cd ${YOUR_CODE_DIR}/FlagTree/third_party/ascend
git clone https://gitcode.com/Ascend/AscendNPU-IR.git
git checkout 4c304921

1.4 Manually download the Triton dependencies

The Triton dependencies are already downloaded and installed in the image. If you do not need to build FlagTree or Triton from source, you do not need to download the Triton dependencies.

cd ${YOUR_CODE_DIR}/FlagTree
# For Triton 3.5 (aarch64)
wget https://baai-cp-web.ks3-cn-beijing.ksyuncs.com/trans/build-deps-triton_3.5.x-linux-aarch64.tar.gz
sh python/scripts/unpack_triton_build_deps.sh ./build-deps-triton_3.5.x-linux-aarch64.tar.gz

After executing the above script, the original ~/.triton directory will be renamed, and a new ~/.triton directory will be created to store the pre-downloaded packages. Note that the script will prompt for manual confirmation during execution.

2. Installation Commands

2.1 Source-free Installation

# Note: First install PyTorch, then execute the following commands
python3 -m pip uninstall -y triton  # Repeat the cmd until fully uninstalled
RES="--index-url=https://resource.flagos.net/repository/flagos-pypi-hosted/simple"
python3.11 -m pip install flagtree===0.6.0+ascend3.5 $RES

After installing flagtree, you can check it with:

python3 -m pip show flagtree

2.2 Build from Source

cd ${YOUR_CODE_DIR}/FlagTree
git checkout -b triton_v3.5.x origin/triton_v3.5.x
export PATH=~/.flagtree/ascend/llvm-7d5de303-ubuntu-aarch64-python311-compat/bin/:${PATH}  # clang
export FLAGTREE_BACKEND=ascend
MAX_JOBS=32 python3 -m pip install . --no-build-isolation -v

3. Testing and validation

Before testing, you need to execute source /usr/local/Ascend/ascend-toolkit/set_env.sh

Refer to Tests of ascend3.5 backend

💫 Huawei Ascend（华为昇腾）ascend (Triton 3.2)

Based on Triton 3.2, aarch64
Available for 910B, 910C

1. Build and run environment

1.1 Use the preinstalled image (910C)

This preinstalled image is created by executing the later step 1.x based on Dockerfile-ubuntu22.04-python3.11-ascend and installing FlagTree. If you use this preinstalled image, you do not need to perform the later step 1.x for 910C, and for 910B you only need to perform step 1.2. If your network connection is available, you also do not need to perform the later step 1.x, because dependencies will be fetched automatically during the build.

# Plan A: docker pull (26.2GB)
IMAGE=harbor.baai.ac.cn/flagtree/flagtree-ascend-910c-py311-torch2.6.0-cann8.5.0-ubuntu22.04-aarch64:202603
docker pull ${IMAGE}
# Plan B: docker load (8.8GB)
IMAGE=flagtree-ascend-910c-py311-torch2.6.0-cann8.5.0-ubuntu22.04-aarch64:202603
wget https://baai-cp-web.ks3-cn-beijing.ksyuncs.com/trans/flagtree-ascend-910c-py311-torch2.6.0-cann8.5.0-ubuntu22.04-aarch64.202603.tar.gz
docker load -i flagtree-ascend-910c-py311-torch2.6.0-cann8.5.0-ubuntu22.04-aarch64.202603.tar.gz

CONTAINER=flagtree-dev-xxx
docker run -dit -u 0 --user=root \
    --network=host --pid=host --ipc=host --privileged \
    -v /usr/local/Ascend/driver:/usr/local/Ascend/driver \
    -v /usr/local/Ascend/add-ons/:/usr/local/Ascend/add-ons/ \
    -v /usr/local/sbin/:/usr/local/sbin/ \
    -v /etc/ascend_install.info:/etc/ascend_install.info \
    --device=/dev/davinci0 --device=/dev/davinci1 \
    --device=/dev/davinci2 --device=/dev/davinci3 \
    --device=/dev/davinci4 --device=/dev/davinci5 \
    --device=/dev/davinci6 --device=/dev/davinci7 \
    --device=/dev/davinci_manager --device=/dev/devmm_svm --device=/dev/hisi_hdc \
    -v /etc/localtime:/etc/localtime:ro \
    -v /data:/data -v /home:/home -v /tmp:/tmp \
    -w /root --name ${CONTAINER} ${IMAGE} bash
docker exec -it ${CONTAINER} /bin/bash