|
| 1 | +name: Lint MPS |
| 2 | + |
| 3 | +on: |
| 4 | + pull_request: |
| 5 | + push: |
| 6 | + branches: |
| 7 | + - main |
| 8 | + - release/* |
| 9 | + workflow_dispatch: |
| 10 | + |
| 11 | +concurrency: |
| 12 | + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }} |
| 13 | + cancel-in-progress: true |
| 14 | + |
| 15 | +jobs: |
| 16 | + lintrunner-mps: |
| 17 | + runs-on: macos-executorch |
| 18 | + steps: |
| 19 | + - uses: actions/checkout@v4 |
| 20 | + with: |
| 21 | + submodules: 'recursive' |
| 22 | + - name: Lintrunner |
| 23 | + id: lint-mps |
| 24 | + run: | |
| 25 | + set -eux |
| 26 | +
|
| 27 | + # Conda setup |
| 28 | + if conda info --envs | grep -w -q "env-${{ runner.name }}"; then echo "env-${{ runner.name }} already exists"; else conda create -y -n "env-${{ runner.name }}" python=3.10; fi |
| 29 | + CONDA_ENV="~/miniconda3/envs/env-${{ runner.name }}" |
| 30 | + if [[ -n "$CONDA_ENV" ]]; then |
| 31 | + # Use binaries under conda environment |
| 32 | + export PATH="$CONDA_ENV/bin":$PATH |
| 33 | + fi |
| 34 | +
|
| 35 | + conda init zsh |
| 36 | + conda init |
| 37 | + source ~/miniconda3/bin/activate |
| 38 | + conda deactivate |
| 39 | + conda activate "$CONDA_ENV" |
| 40 | +
|
| 41 | + source .ci/scripts/utils.sh |
| 42 | + # This is a simple Python script but as it tries to import executorch.examples.models, |
| 43 | + # it requires a whole bunch of ExecuTorch dependencies on the Docker image |
| 44 | + install_pip_dependencies |
| 45 | + install_executorch |
| 46 | + brew install jq |
| 47 | +
|
| 48 | + source .ci/scripts/utils.sh |
| 49 | +
|
| 50 | + # Install lint depdendencies |
| 51 | + pip install lintrunner==0.11.0 |
| 52 | + pip install lintrunner-adapters==0.11.0 |
| 53 | +
|
| 54 | + CACHE_DIRECTORY="/tmp/.lintbin" |
| 55 | + # Try to recover the cached binaries |
| 56 | + if [[ -d "${CACHE_DIRECTORY}" ]]; then |
| 57 | + # It's ok to fail this as lintrunner init would download these binaries |
| 58 | + # again if they do not exist |
| 59 | + cp -r "${CACHE_DIRECTORY}" . || true |
| 60 | + fi |
| 61 | +
|
| 62 | + # This has already been cached in the docker image |
| 63 | + lintrunner init 2> /dev/null |
| 64 | +
|
| 65 | + RC=0 |
| 66 | + # Run lintrunner on all files |
| 67 | + if ! lintrunner --force-color --all-files --tee-json lint.json 2> /dev/null; then |
| 68 | + echo "" |
| 69 | + echo -e "\e[1m\e[36mYou can reproduce these results locally by using \`lintrunner\`. (If you don't get the same results, run \'lintrunner init\' to update your local linter)\e[0m" |
| 70 | + echo -e "\e[1m\e[36mSee https://github.com/pytorch/pytorch/wiki/lintrunner for setup instructions.\e[0m" |
| 71 | + RC=1 |
| 72 | + fi |
| 73 | +
|
| 74 | + # Use jq to massage the JSON lint output into GitHub Actions workflow commands. |
| 75 | + jq --raw-output \ |
| 76 | + '"::\(if .severity == "advice" or .severity == "disabled" then "warning" else .severity end) file=\(.path),line=\(.line),col=\(.char),title=\(.code) \(.name)::" + (.description | gsub("\\n"; "%0A"))' \ |
| 77 | + lint.json || true |
| 78 | +
|
| 79 | + exit $RC |
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