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Self-hosted runner (scheduled) #56

Self-hosted runner (scheduled)

Self-hosted runner (scheduled) #56

name: Self-hosted runner (scheduled)
# Note that each job's dependencies go into a corresponding docker file.
#
# For example for `run_all_tests_torch_cuda_extensions_gpu` the docker image is
# `huggingface/transformers-pytorch-deepspeed-latest-gpu`, which can be found at
# `docker/transformers-pytorch-deepspeed-latest-gpu/Dockerfile`
on:
repository_dispatch:
schedule:
- cron: "17 2 * * *"
push:
branches:
- run_scheduled_ci*
env:
HF_HOME: /mnt/cache
TRANSFORMERS_IS_CI: yes
OMP_NUM_THREADS: 8
MKL_NUM_THREADS: 8
RUN_SLOW: yes
# For gated repositories, we still need to agree to share information on the Hub repo. page in order to get access.
# This token is created under the bot `hf-transformers-bot`.
HF_HUB_READ_TOKEN: ${{ secrets.HF_HUB_READ_TOKEN }}
SIGOPT_API_TOKEN: ${{ secrets.SIGOPT_API_TOKEN }}
TF_FORCE_GPU_ALLOW_GROWTH: true
RUN_PT_TF_CROSS_TESTS: 1
CUDA_VISIBLE_DEVICES: 0,1
NUM_SLICES: 2
jobs:
setup:
name: Setup
strategy:
matrix:
machine_type: [single-gpu, multi-gpu]
runs-on: ['${{ matrix.machine_type }}', nvidia-gpu, t4, daily-ci]
container:
image: huggingface/transformers-all-latest-gpu
options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
outputs:
folder_slices: ${{ steps.set-matrix.outputs.folder_slices }}
slice_ids: ${{ steps.set-matrix.outputs.slice_ids }}
steps:
- name: Update clone
working-directory: /transformers
run: |
git fetch && git checkout ${{ github.sha }}
- name: Cleanup
working-directory: /transformers
run: |
rm -rf tests/__pycache__
rm -rf tests/models/__pycache__
rm -rf reports
- name: Show installed libraries and their versions
working-directory: /transformers
run: pip freeze
- id: set-matrix
name: Identify models to test
working-directory: /transformers/tests
run: |
echo "folder_slices=$(python3 ../utils/split_model_tests.py --num_splits ${{ env.NUM_SLICES }})" >> $GITHUB_OUTPUT
echo "slice_ids=$(python3 -c 'd = list(range(${{ env.NUM_SLICES }})); print(d)')" >> $GITHUB_OUTPUT
- name: NVIDIA-SMI
run: |
nvidia-smi
run_tests_gpu:
name: " "
needs: setup
strategy:
fail-fast: false
matrix:
machine_type: [single-gpu, multi-gpu]
slice_id: ${{ fromJSON(needs.setup.outputs.slice_ids) }}
uses: ./.github/workflows/model_jobs.yml
with:
folder_slices: ${{ needs.setup.outputs.folder_slices }}
machine_type: ${{ matrix.machine_type }}
slice_id: ${{ matrix.slice_id }}
secrets: inherit
run_examples_gpu:
name: Examples directory
strategy:
fail-fast: false
matrix:
machine_type: [single-gpu]
runs-on: ['${{ matrix.machine_type }}', nvidia-gpu, t4, daily-ci]
container:
image: huggingface/transformers-all-latest-gpu
options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
needs: setup
steps:
- name: Update clone
working-directory: /transformers
run: git fetch && git checkout ${{ github.sha }}
- name: Reinstall transformers in edit mode (remove the one installed during docker image build)
working-directory: /transformers
run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .
- name: NVIDIA-SMI
run: |
nvidia-smi
- name: Environment
working-directory: /transformers
run: |
python3 utils/print_env.py
- name: Show installed libraries and their versions
working-directory: /transformers
run: pip freeze
- name: Run examples tests on GPU
working-directory: /transformers
run: |
pip install -r examples/pytorch/_tests_requirements.txt
python3 -m pytest -v --make-reports=${{ matrix.machine_type }}_examples_gpu examples/pytorch
- name: Failure short reports
if: ${{ failure() }}
continue-on-error: true
run: cat /transformers/reports/${{ matrix.machine_type }}_examples_gpu/failures_short.txt
- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_examples_gpu"
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: ${{ matrix.machine_type }}_run_examples_gpu
path: /transformers/reports/${{ matrix.machine_type }}_examples_gpu
run_pipelines_torch_gpu:
name: PyTorch pipelines
strategy:
fail-fast: false
matrix:
machine_type: [single-gpu, multi-gpu]
runs-on: ['${{ matrix.machine_type }}', nvidia-gpu, t4, daily-ci]
container:
image: huggingface/transformers-pytorch-gpu
options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
needs: setup
steps:
- name: Update clone
working-directory: /transformers
run: git fetch && git checkout ${{ github.sha }}
- name: Reinstall transformers in edit mode (remove the one installed during docker image build)
working-directory: /transformers
run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .
- name: NVIDIA-SMI
run: |
nvidia-smi
- name: Environment
working-directory: /transformers
run: |
python3 utils/print_env.py
- name: Show installed libraries and their versions
working-directory: /transformers
run: pip freeze
- name: Run all pipeline tests on GPU
working-directory: /transformers
run: |
python3 -m pytest -n 1 -v --dist=loadfile --make-reports=${{ matrix.machine_type }}_tests_torch_pipeline_gpu tests/pipelines
- name: Failure short reports
if: ${{ failure() }}
continue-on-error: true
run: cat /transformers/reports/${{ matrix.machine_type }}_tests_torch_pipeline_gpu/failures_short.txt
- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_tests_torch_pipeline_gpu"
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: ${{ matrix.machine_type }}_run_tests_torch_pipeline_gpu
path: /transformers/reports/${{ matrix.machine_type }}_tests_torch_pipeline_gpu
run_pipelines_tf_gpu:
name: TensorFlow pipelines
strategy:
fail-fast: false
matrix:
machine_type: [single-gpu, multi-gpu]
runs-on: ['${{ matrix.machine_type }}', nvidia-gpu, t4, daily-ci]
container:
image: huggingface/transformers-tensorflow-gpu
options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
needs: setup
steps:
- name: Update clone
working-directory: /transformers
run: |
git fetch && git checkout ${{ github.sha }}
- name: Reinstall transformers in edit mode (remove the one installed during docker image build)
working-directory: /transformers
run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .
- name: NVIDIA-SMI
run: |
nvidia-smi
- name: Environment
working-directory: /transformers
run: |
python3 utils/print_env.py
- name: Show installed libraries and their versions
working-directory: /transformers
run: pip freeze
- name: Run all pipeline tests on GPU
working-directory: /transformers
run: |
python3 -m pytest -n 1 -v --dist=loadfile --make-reports=${{ matrix.machine_type }}_tests_tf_pipeline_gpu tests/pipelines
- name: Failure short reports
if: ${{ always() }}
run: |
cat /transformers/reports/${{ matrix.machine_type }}_tests_tf_pipeline_gpu/failures_short.txt
- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_tests_tf_pipeline_gpu"
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: ${{ matrix.machine_type }}_run_tests_tf_pipeline_gpu
path: /transformers/reports/${{ matrix.machine_type }}_tests_tf_pipeline_gpu
run_all_tests_torch_cuda_extensions_gpu:
name: Torch CUDA extension tests
strategy:
fail-fast: false
matrix:
machine_type: [single-gpu, multi-gpu]
runs-on: ['${{ matrix.machine_type }}', nvidia-gpu, t4, daily-ci]
needs: setup
container:
image: huggingface/transformers-pytorch-deepspeed-latest-gpu
options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
steps:
- name: Update clone
working-directory: /workspace/transformers
run: git fetch && git checkout ${{ github.sha }}
- name: Reinstall transformers in edit mode (remove the one installed during docker image build)
working-directory: /workspace/transformers
run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .
- name: Remove cached torch extensions
run: rm -rf /github/home/.cache/torch_extensions/
# To avoid unknown test failures
- name: Pre build DeepSpeed *again*
working-directory: /workspace
run: |
python3 -m pip uninstall -y deepspeed
DS_DISABLE_NINJA=1 DS_BUILD_CPU_ADAM=1 DS_BUILD_FUSED_ADAM=1 python3 -m pip install deepspeed --global-option="build_ext" --global-option="-j8" --no-cache -v --disable-pip-version-check
- name: NVIDIA-SMI
run: |
nvidia-smi
- name: Environment
working-directory: /workspace/transformers
run: |
python utils/print_env.py
- name: Show installed libraries and their versions
working-directory: /workspace/transformers
run: pip freeze
- name: Run all tests on GPU
working-directory: /workspace/transformers
run: |
python -m pytest -v --make-reports=${{ matrix.machine_type }}_tests_torch_cuda_extensions_gpu tests/deepspeed tests/extended
- name: Failure short reports
if: ${{ failure() }}
continue-on-error: true
run: cat /workspace/transformers/reports/${{ matrix.machine_type }}_tests_torch_cuda_extensions_gpu/failures_short.txt
- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_tests_torch_cuda_extensions_gpu_test_reports"
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: ${{ matrix.machine_type }}_run_tests_torch_cuda_extensions_gpu_test_reports
path: /workspace/transformers/reports/${{ matrix.machine_type }}_tests_torch_cuda_extensions_gpu
run_extract_warnings:
name: Extract warnings in CI artifacts
runs-on: ubuntu-22.04
if: always()
needs: [
setup,
run_tests_gpu,
run_examples_gpu,
run_pipelines_tf_gpu,
run_pipelines_torch_gpu,
run_all_tests_torch_cuda_extensions_gpu
]
steps:
- name: Checkout transformers
uses: actions/checkout@v3
with:
fetch-depth: 2
- name: Install transformers
run: pip install transformers
- name: Show installed libraries and their versions
run: pip freeze
- name: Create output directory
run: mkdir warnings_in_ci
- uses: actions/download-artifact@v3
with:
path: warnings_in_ci
- name: Show artifacts
run: echo "$(python3 -c 'import os; d = os.listdir(); print(d)')"
working-directory: warnings_in_ci
- name: Extract warnings in CI artifacts
run: |
python3 utils/extract_warnings.py --workflow_run_id ${{ github.run_id }} --output_dir warnings_in_ci --token ${{ secrets.ACCESS_REPO_INFO_TOKEN }} --from_gh
echo "$(python3 -c 'import os; import json; fp = open("warnings_in_ci/selected_warnings.json"); d = json.load(fp); d = "\n".join(d) ;print(d)')"
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: warnings_in_ci
path: warnings_in_ci/selected_warnings.json
send_results:
name: Send results to webhook
runs-on: ubuntu-22.04
if: always()
needs: [
setup,
run_tests_gpu,
run_examples_gpu,
run_pipelines_tf_gpu,
run_pipelines_torch_gpu,
run_all_tests_torch_cuda_extensions_gpu,
run_extract_warnings
]
steps:
- name: Preliminary job status
shell: bash
# For the meaning of these environment variables, see the job `Setup`
run: |
echo "Setup status: ${{ needs.setup.result }}"
- uses: actions/checkout@v3
- uses: actions/download-artifact@v3
- name: Send message to Slack
env:
CI_SLACK_BOT_TOKEN: ${{ secrets.CI_SLACK_BOT_TOKEN }}
CI_SLACK_CHANNEL_ID: ${{ secrets.CI_SLACK_CHANNEL_ID }}
CI_SLACK_CHANNEL_ID_DAILY: ${{ secrets.CI_SLACK_CHANNEL_ID_DAILY }}
CI_SLACK_CHANNEL_DUMMY_TESTS: ${{ secrets.CI_SLACK_CHANNEL_DUMMY_TESTS }}
CI_SLACK_REPORT_CHANNEL_ID: ${{ secrets.CI_SLACK_CHANNEL_ID_DAILY }}
ACCESS_REPO_INFO_TOKEN: ${{ secrets.ACCESS_REPO_INFO_TOKEN }}
CI_EVENT: scheduled
CI_SHA: ${{ github.sha }}
CI_WORKFLOW_REF: ${{ github.workflow_ref }}
SETUP_STATUS: ${{ needs.setup.result }}
# We pass `needs.setup.outputs.matrix` as the argument. A processing in `notification_service.py` to change
# `models/bert` to `models_bert` is required, as the artifact names use `_` instead of `/`.
run: |
sudo apt-get install -y curl
pip install slack_sdk
pip show slack_sdk
python utils/notification_service.py "${{ needs.setup.outputs.folder_slices }}"
# Upload complete failure tables, as they might be big and only truncated versions could be sent to Slack.
- name: Failure table artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: prev_ci_results
path: prev_ci_results