nightly.yml

name: Self-hosted runner with slow tests (scheduled)

on:
  workflow_dispatch:
  schedule:
    - cron: "0 2 * * *"

env:
  RUN_SLOW: "yes"
  IS_GITHUB_CI: "1"
  SLACK_API_TOKEN: ${{ secrets.SLACK_API_TOKEN }}


jobs:
  run_core_tests_single_gpu:
    runs-on:
      group: aws-g6-4xlarge-plus
    env:
      CUDA_VISIBLE_DEVICES: "0"
      TEST_TYPE: "single_gpu"
    container:
      image: huggingface/accelerate:gpu-nightly
      options: --gpus all --shm-size "16gb"
    defaults:
      run:
        shell: bash
    steps:
      - name: Update clone & pip install
        run: |
          source activate accelerate
          git clone https://github.com/huggingface/accelerate;
          cd accelerate;
          git checkout ${{ github.sha }};
          pip install -e . --no-deps
          pip install pytest-reportlog tabulate

      - name: Show installed libraries
        run: |
          source activate accelerate;
          pip freeze

      - name: Run test on GPUs
        working-directory: accelerate
        run: |
          source activate accelerate
          make test

      - name: Run examples on GPUs
        working-directory: accelerate
        if: always()
        run: |
          source activate accelerate
          pip uninstall comet_ml -y
          make test_examples

      - name: Generate Report
        working-directory: accelerate
        if: always()
        run: |
          pip install slack_sdk tabulate
          python utils/log_reports.py >> $GITHUB_STEP_SUMMARY

  run_deepspeed_tests_single_gpu:
    runs-on:
      group: aws-g6-4xlarge-plus
    env:
      CUDA_VISIBLE_DEVICES: "0"
      TEST_TYPE: "single_gpu_deepspeed"
    container:
      image: huggingface/accelerate:gpu-deepspeed-nightly
      options: --gpus all --shm-size "16gb"
    defaults:
      run:
        shell: bash
    steps:
      - name: Update clone & pip install
        run: |
          source activate accelerate
          git clone https://github.com/huggingface/accelerate;
          cd accelerate;
          git checkout ${{ github.sha }};
          pip install -e . --no-deps
          pip install pytest-reportlog tabulate

      - name: Show installed libraries
        run: |
          source activate accelerate;
          pip freeze

      - name: Run test on GPUs
        working-directory: accelerate
        run: |
          source activate accelerate
          make test_deepspeed

      - name: Run Integration tests on GPUs
        working-directory: accelerate
        if: always()
        run: |
          source activate accelerate
          make test_integrations

      - name: Run examples on GPUs
        working-directory: accelerate
        if: always()
        run: |
          source activate accelerate
          pip uninstall comet_ml -y
          make test_examples

      - name: Generate Report
        working-directory: accelerate
        if: always()
        run: |
          pip install slack_sdk tabulate
          python utils/log_reports.py >> $GITHUB_STEP_SUMMARY

  run_core_tests_multi_gpu:
    runs-on:
      group: aws-g6-12xlarge-plus
    env:
      CUDA_VISIBLE_DEVICES: "0,1"
      TEST_TYPE: "multi_gpu"
    container:
      image: huggingface/accelerate:gpu-nightly
      options: --gpus all --shm-size "16gb"
    defaults:
      run:
        shell: bash
    steps:
      - name: Update clone
        run: |
          source activate accelerate
          git clone https://github.com/huggingface/accelerate;
          cd accelerate;
          git checkout ${{ github.sha }};
          pip install -e . --no-deps
          pip install pytest-reportlog tabulate

      - name: Show installed libraries
        run: |
          source activate accelerate;
          pip freeze

      - name: Run core and big modeling tests on GPUs
        working-directory: accelerate
        run: |
          source activate accelerate
          make test_core
          make test_big_modeling
          make test_cli

      - name: Run Integration tests on GPUs
        working-directory: accelerate
        if: always()
        run: |
          source activate accelerate
          make test_integrations

      - name: Run examples on GPUs
        working-directory: accelerate
        if: always()
        run: |
          source activate accelerate
          pip uninstall comet_ml -y
          make test_examples

      - name: Generate Report
        working-directory: accelerate
        if: always()
        run: |
          pip install slack_sdk tabulate
          python utils/log_reports.py >> $GITHUB_STEP_SUMMARY

  run_deepspeed_tests_multi_gpu:
    runs-on:
      group: aws-g6-12xlarge-plus
    env:
      CUDA_VISIBLE_DEVICES: "0,1"
      TEST_TYPE: "multi_gpu_deepspeed"
    container:
      image: huggingface/accelerate:gpu-deepspeed-nightly
      options: --gpus all --shm-size "16gb"
    defaults:
      run:
        shell: bash
    steps:
      - name: Update clone
        run: |
          source activate accelerate
          git clone https://github.com/huggingface/accelerate;
          cd accelerate;
          git checkout ${{ github.sha }};
          pip install -e . --no-deps
          pip install pytest-reportlog tabulate

      - name: Show installed libraries
        run: |
          source activate accelerate;
          pip freeze

      - name: Run DeepSpeed tests
        working-directory: accelerate
        run: |
          source activate accelerate
          make test_deepspeed

      - name: Run Integration tests on GPUs
        working-directory: accelerate
        if: always()
        run: |
          source activate accelerate
          make test_integrations

      - name: Run examples on GPUs
        working-directory: accelerate
        if: always()
        run: |
          source activate accelerate
          pip uninstall comet_ml -y
          make test_examples

      - name: Generate Report
        working-directory: accelerate
        if: always()
        run: |
          pip install slack_sdk tabulate
          python utils/log_reports.py >> $GITHUB_STEP_SUMMARY


  run-integration-tests:
    if: always()
    uses: ./.github/workflows/self_hosted_integration_tests.yml