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nv-transformers-v100 #286

nv-transformers-v100

nv-transformers-v100 #286

name: nv-transformers-v100
on:
pull_request:
paths-ignore:
- 'docs/**'
- 'blogs/**'
schedule:
- cron: "0 0 * * *"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
unit-tests:
runs-on: [self-hosted, nvidia, cu111, v100]
steps:
- uses: actions/checkout@v3
- id: setup-venv
uses: ./.github/workflows/setup-venv
- name: Install pytorch
run: |
# use the same pytorch version as transformers CI
pip install --no-cache-dir torch torchvision torchaudio -f https://download.pytorch.org/whl/torch_stable.html
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install deepspeed
run: |
pip install .[dev,autotuning]
ds_report
- name: Python environment
run: |
pip list
- name: HF transformers tests
run: |
if [[ -d ./torch-extensions ]]; then rm -rf ./torch-extensions; fi
git clone https://github.com/huggingface/transformers
cd transformers
# if needed switch to the last known good SHA until transformers@master is fixed
#git checkout 6268694e2
git rev-parse --short HEAD
# scipy/sklearn required for tests, using the 'dev' extra forces torch re-install
pip install .[testing]
# find reqs used in ds integration tests
find examples/pytorch -regextype posix-egrep -regex '.*(language-modeling|question-answering|summarization|image-classification|text-classification|translation).*/requirements.txt' -exec grep -v 'torch' {} \; | xargs -I {} pip install --upgrade {}
# force datasets version due to issues
pip install datasets==2.2.2
# force protobuf version due to issues
pip install "protobuf<4.21.0"
pip list
HF_DATASETS_CACHE=/blob/datasets_cache/ TRANSFORMERS_CACHE=/blob/transformers_cache/ WANDB_DISABLED=true TORCH_EXTENSIONS_DIR=./torch-extensions RUN_SLOW=1 pytest --color=yes --durations=0 --verbose tests/deepspeed