nv-a6000 #351
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name: nv-a6000 | |
on: | |
pull_request: | |
paths: | |
- 'accelerator/cuda_accelerator.py' | |
- 'deepspeed/inference/v2/**' | |
- 'tests/unit/inference/v2/**' | |
- '.github/workflows/nv-a6000.yml' | |
workflow_dispatch: | |
inputs: | |
mii_branch: | |
description: 'DeepSpeed-MII Branch' | |
required: false | |
default: 'main' | |
type: string | |
concurrency: | |
group: ${{ github.workflow }}-${{ github.ref }} | |
cancel-in-progress: true | |
jobs: | |
unit-tests: | |
runs-on: [self-hosted, nvidia, a6000] | |
container: | |
image: nvcr.io/nvidia/pytorch:23.03-py3 | |
ports: | |
- 80 | |
options: --gpus all --shm-size "8G" | |
steps: | |
- uses: actions/checkout@v3 | |
- name: Check container state | |
run: | | |
ldd --version | |
nvcc --version | |
nvidia-smi | |
python -c "import torch; print('torch:', torch.__version__, torch)" | |
python -c "import torch; print('CUDA available:', torch.cuda.is_available())" | |
- name: Install transformers | |
run: | | |
git clone --depth=1 https://github.com/huggingface/transformers | |
cd transformers | |
git rev-parse --short HEAD | |
python -m pip install . | |
- name: Install deepspeed | |
run: | | |
python -m pip install docutils==0.18.1 jinja2==3.0 urllib3==1.26.11 ninja | |
python -m pip install thinc spacy confection --upgrade | |
python -m pip install .[dev,1bit,autotuning,inf] | |
ds_report | |
- name: Python environment | |
run: | | |
python -m pip list | |
- name: Unit tests | |
run: | | |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch | |
cd tests | |
python -m pytest --color=yes --durations=0 --verbose -rF -m 'inference_v2' unit/ --torch_ver="2.0" --cuda_ver="12" | |
python -m pytest --color=yes --durations=0 --verbose -rF -m 'inference_v2_ops' unit/ --torch_ver="2.0" --cuda_ver="12" | |
- name: MII unit tests | |
run: | | |
BRANCH="main" | |
if [[ ! -z "${{ github.event.inputs.mii_branch }}" ]]; then | |
BRANCH="${{ github.event.inputs.mii_branch }}" | |
fi | |
echo "Cloning DeepSpeed-MII branch: $BRANCH" | |
git clone -b $BRANCH --depth=1 https://github.com/microsoft/DeepSpeed-MII.git | |
cd DeepSpeed-MII | |
pip install .[dev] | |
cd tests | |
python -m pytest --color=yes --durations=0 --verbose -rF ./ |