Reuse GELU implementation from PyTorch core #27465
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| name: Build documentation | |
| on: | |
| pull_request: | |
| push: | |
| branches: | |
| - main | |
| - release/* | |
| tags: | |
| - v[0-9]+.[0-9]+.[0-9]+ | |
| - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+ | |
| workflow_dispatch: | |
| schedule: | |
| - cron: '0 0 * * *' | |
| jobs: | |
| build: | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| matrix: | |
| include: | |
| - build-tool: buck2 | |
| with: | |
| job-name: Build doc | |
| runner: linux.2xlarge | |
| docker-image: executorch-ubuntu-22.04-clang12 | |
| submodules: 'true' | |
| repository: pytorch/executorch | |
| upload-artifact: docs | |
| timeout: 90 | |
| script: | | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| BUILD_TOOL=${{ matrix.build-tool }} | |
| # Setup dependencies as there is no Docker support | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}" | |
| if [[(${GITHUB_EVENT_NAME} = 'pull_request' && (${GITHUB_BASE_REF} = 'release'*)) || (${GITHUB_REF} = 'refs/heads/release'*) ]]; then | |
| export CHANNEL=test | |
| else | |
| export CHANNEL=nightly | |
| fi | |
| # Get the version of ExecuTorch from REF_NAME and save as ET_VERSION_DOCS | |
| # ET_VERSION_DOCS will be pulled during the doc build to add to the version dropdown | |
| # on the website. See docs/source/conf.py for details | |
| GITHUB_REF=${{ github.ref }} | |
| echo "$GITHUB_REF" | |
| export ET_VERSION_DOCS="${GITHUB_REF}" | |
| echo "$ET_VERSION_DOCS" | |
| set -eux | |
| # clean up the ${RUNNER_DOCS_DIR} if exists: | |
| rm -rf "${RUNNER_DOCS_DIR}"/* | |
| # clean up the ${RUNNER_ARTIFACT_DIR} if exists: | |
| rm -rf "${RUNNER_ARTIFACT_DIR}"/* | |
| # Build docset: | |
| cd docs | |
| doxygen source/Doxyfile | |
| make html | |
| cd .. | |
| # If it's main branch, add noindex tag to all .html files to exclude from Google Search indexing. | |
| echo "GitHub Ref: ${GITHUB_REF}" | |
| if [[ "${{ github.ref }}" == 'refs/heads/main' ]]; then | |
| find docs/_build/html/ -name "*.html" -print0 | xargs -0 sed -i '/<head>/a \ \ <meta name="robots" content="noindex">'; | |
| fi | |
| cp -rf docs/_build/html/* "${RUNNER_DOCS_DIR}" | |
| mv docs/_build/html "${RUNNER_ARTIFACT_DIR}" | |
| ls -R "${RUNNER_ARTIFACT_DIR}"/*/*.html | |
| upload-gh-pages: | |
| needs: build | |
| if: github.repository == 'pytorch/executorch' && github.event_name == 'push' && (github.ref == 'refs/heads/main' || startsWith(github.ref, 'refs/tags/v')) | |
| permissions: | |
| contents: write | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| with: | |
| repository: pytorch/executorch | |
| download-artifact: docs | |
| ref: gh-pages | |
| timeout: 90 | |
| script: | | |
| set -euo pipefail | |
| # Get github.ref for the output doc folder. By default "main" | |
| # If matches a tag like refs/tags/v1.12.0-rc3 or | |
| # refs/tags/v1.12.0 convert to 1.12 | |
| export GITHUB_REF=${{ github.ref }} | |
| # Convert refs/tags/v1.12.0rc3 into 1.12. | |
| # Adopted from https://github.com/pytorch/pytorch/blob/main/.github/workflows/_docs.yml#L150C11-L155C13 | |
| if [[ "${GITHUB_REF}" =~ ^refs/tags/v([0-9]+\.[0-9]+) ]]; then | |
| TARGET_FOLDER="${BASH_REMATCH[1]}" | |
| else | |
| TARGET_FOLDER="main" | |
| fi | |
| echo "Target Folder: ${TARGET_FOLDER}" | |
| mkdir -p "${TARGET_FOLDER}" | |
| # Clean up target folder if exists and copy html output to the | |
| # Target folder | |
| rm -rf "${TARGET_FOLDER}"/* | |
| mv "${RUNNER_ARTIFACT_DIR}"/html/* "${TARGET_FOLDER}" | |
| git add "${TARGET_FOLDER}" || true | |
| git config user.name 'pytorchbot' | |
| git config user.email '[email protected]' | |
| git commit -m "Auto-generating sphinx docs" || true | |
| git push -f |