nv-torch19-v100.yml

name: nv-torch19-v100

on:
  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: |
          pip install --no-cache-dir torch==1.9.0+cu111 torchvision==0.10.0+cu111 -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 transformers
        run: |
          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
          pip install .

      - name: Install deepspeed
        run: |
          pip install .[dev,1bit,autotuning] --no-build-isolation
          ds_report

      - name: Python environment
        run: |
          pip list

      - name: Unit tests
        run: |
          unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
          if [[ -d ./torch-extensions ]]; then rm -rf ./torch-extensions; fi
          cd tests
          TORCH_EXTENSIONS_DIR=./torch-extensions pytest --forked -n 4  unit/ --torch_ver="1.9" --cuda_ver="11"
          TORCH_EXTENSIONS_DIR=./torch-extensions pytest --forked -m 'sequential' unit/ --torch_ver="1.9" --cuda_ver="11"