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- name: nv-transformers-v100
- on:
- push:
- branches:
- - 'master'
- - 'staging**'
- paths-ignore:
- - 'docs/**'
- pull_request:
- paths-ignore:
- - 'docs/**'
- concurrency:
- group: ${{ github.workflow }}-${{ github.ref }}
- cancel-in-progress: true
- jobs:
- unit-tests:
- runs-on: [self-hosted, nvidia, cu111, v100]
- steps:
- - uses: actions/checkout@v2
- - name: environment
- run: |
- nvidia-smi
- which python
- python --version
- which nvcc
- nvcc --version
- pip install --upgrade pip
- pip uninstall --yes torch torchvision
- pip install torch==1.8.2+cu111 torchvision==0.9.2+cu111 -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
- python -c "import torch; print('torch:', torch.__version__, torch)"
- python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- sudo apt-get update
- sudo apt-get install -y libaio-dev
- - name: Python environment
- run: |
- pip list
- - name: Install deepspeed
- run: |
- pip uninstall --yes deepspeed
- pip install .[dev,autotuning]
- ds_report
- - 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 1cc453d33
- 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
- WANDB_DISABLED=true TORCH_EXTENSIONS_DIR=./torch-extensions RUN_SLOW=1 pytest --color=yes --durations=0 --verbose tests/deepspeed
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