transformers/.github/workflows/self-scheduled.yml

name: Self-hosted runner (scheduled)

on:
  push:
    branches:
      - ci_*
  repository_dispatch:
  schedule:
    - cron: "0 0 * * *"

jobs:
  run_all_tests_torch_and_tf_gpu:
    runs-on: self-hosted
    steps:
    - uses: actions/checkout@v2
    - name: Python version
      run: |
        which python
        python --version
        pip --version        
    - name: Current dir
      run: pwd
    - run: nvidia-smi
    - name: Create new python env (on self-hosted runners we have to handle isolation ourselves)
      run: |
        python -m venv .env
        source .env/bin/activate
        which python
        python --version
        pip --version        
    - name: Install dependencies
      run: |
        source .env/bin/activate
        pip install .[sklearn,torch,testing]        

    - name: Are GPUs recognized by our DL frameworks
      run: |
        source .env/bin/activate
        python -c "import torch; print(torch.cuda.is_available())"        

    - name: Run all tests on GPU
      env:
        TF_FORCE_GPU_ALLOW_GROWTH: "true"
        OMP_NUM_THREADS: 1
        RUN_SLOW: yes
        USE_CUDA: yes
      run: |
        source .env/bin/activate
        python -m pytest -n 1 --dist=loadfile -s ./tests/