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huawei-ascend-npu.yml
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name: huawei-ascend-npu
on:
workflow_dispatch:
pull_request:
paths:
- '.github/workflows/huawei-ascend-npu.yml'
- 'requirements/**'
schedule:
- cron: "0 0 * * *"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
issues: write
jobs:
unit-tests:
runs-on: [self-hosted, ascend, npu]
container:
image: ascendai/cann
ports:
- 80
options: --device /dev/davinci4
--device /dev/davinci_manager
--device /dev/devmm_svm
--device /dev/hisi_hdc
--shm-size "20g"
-v /usr/local/dcmi:/usr/local/dcmi
-v /usr/local/bin/npu-smi:/usr/local/bin/npu-smi
-v /usr/local/Ascend/driver/lib64/:/usr/local/Ascend/driver/lib64/
-v /usr/local/Ascend/driver/version.info:/usr/local/Ascend/driver/version.info
-v /etc/ascend_install.info:/etc/ascend_install.info
steps:
- uses: actions/checkout@v4
- name: Install pytorch
run: |
npu-smi info
apt-get update
echo "export LD_LIBRARY_PATH=/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:${LD_LIBRARY_PATH}" >>~/.bashrc
echo "source /usr/local/Ascend/ascend-toolkit/set_env.sh" >>~/.bashrc
cat ~/.bashrc
pip install torch==2.2.0 torchvision==0.17.0 torch_npu==2.2.0 numpy==1.26.4 cloudpickle tornado -i https://pypi.tuna.tsinghua.edu.cn/simple
python -c "import torch; print('torch:', torch.__version__)"
python -c "import torch,torch_npu; print('torch_npu:', torch.npu.is_available(),',version:', torch_npu.__version__)"
- name: Install deepspeed
run: |
pip install . -i https://pypi.tuna.tsinghua.edu.cn/simple
ds_report
- name: Python environment
run: |
pip list
- name: Multi-card parallel training
env:
GITHUB_TOKEN: ${{ secrets.DEEPSPEED_TOKEN }}
run: |
echo "y" | apt-get install git
git clone https://github.com/microsoft/DeepSpeedExamples.git
cd DeepSpeedExamples
deepspeed ./training/cifar/cifar10_deepspeed.py