nv-inference.yml

name: nv-inference

on:
  pull_request:
    paths-ignore:
      - 'docs/**'
      - 'blogs/**'
  merge_group:
    branches: [ master ]
  schedule:
    - cron: "0 0 * * *"

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  unit-tests:
    runs-on: [self-hosted, nvidia, cu116, v100]

    steps:
      - uses: actions/checkout@v3

      - id: setup-venv
        uses: ./.github/workflows/setup-venv

      - name: Install pytorch
        run: |
          pip install -U --cache-dir $TORCH_CACHE torch==1.13.1 torchvision --extra-index-url https://download.pytorch.org/whl/cu116
          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
          git rev-parse --short HEAD
          pip install .

      - name: Install deepspeed
        run: |
          pip install .[dev,1bit,autotuning,inf,triton]
          ds_report

      - name: Python environment
        run: |
          pip list

      - name: Unit tests
        run: |
          unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
          cd tests
          coverage run --concurrency=multiprocessing -m pytest $PYTEST_OPTS -m 'seq_inference' unit/ --torch_ver="1.13" --cuda_ver="11.6"
          coverage run --concurrency=multiprocessing -m pytest $PYTEST_OPTS -m 'inference_ops' unit/ --torch_ver="1.13" --cuda_ver="11.6"
          coverage run --concurrency=multiprocessing -m pytest $PYTEST_OPTS --forked -n 4 -m 'inference' unit/ --torch_ver="1.13" --cuda_ver="11.6"

      - name: Coverage report
        run: |
          cd tests
          coverage combine
          coverage report -m