[DCP][RFC] Faster intermediate checkpoints with DCP async save in TorchTune #6301
Workflow file for this run
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name: Build Docs | |
on: | |
push: | |
branches: | |
- main | |
- release/* | |
tags: | |
- v[0-9]+.[0-9]+.[0-9] | |
- v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+ | |
pull_request: | |
workflow_dispatch: | |
concurrency: | |
group: build-docs-${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && github.run_number || github.ref }} | |
cancel-in-progress: true | |
defaults: | |
run: | |
shell: bash -l -eo pipefail {0} | |
jobs: | |
build_docs: | |
if: github.repository_owner == 'pytorch' | |
runs-on: ubuntu-latest | |
strategy: | |
matrix: | |
python-version: ['3.11'] | |
steps: | |
- name: Check out repo | |
uses: actions/checkout@v3 | |
- name: Setup conda env | |
uses: conda-incubator/setup-miniconda@v2 | |
with: | |
auto-update-conda: true | |
miniconda-version: "latest" | |
activate-environment: test | |
python-version: ${{ matrix.python-version }} | |
- name: Update pip | |
run: python -m pip install --upgrade pip | |
- name: Install dependencies | |
run: | | |
python -m pip install torch torchvision torchao | |
python -m pip install -e . | |
cd docs | |
python -m pip install -r requirements.txt | |
- name: Build docs | |
env: | |
TORCHTUNE_VERSION_DOCS: ${{ github.ref }} | |
run: | | |
cd docs | |
make html | |
- uses: actions/upload-artifact@v3 | |
with: | |
name: Built-Docs | |
path: docs/build/html/ | |
doc-preview: | |
runs-on: [self-hosted, linux.2xlarge] | |
needs: build_docs | |
if: ${{ github.repository_owner == 'pytorch' && github.event_name == 'pull_request' }} | |
steps: | |
- name: Checkout | |
uses: actions/checkout@v3 | |
- name: Download artifact | |
uses: actions/download-artifact@v3 | |
with: | |
name: Built-Docs | |
path: docs | |
- name: Add no-index tag | |
run: | | |
find docs -name "*.html" -print0 | xargs -0 sed -i '/<head>/a \ \ <meta name="robots" content="noindex">'; | |
- name: Upload docs preview | |
uses: seemethere/upload-artifact-s3@v5 | |
if: ${{ github.event_name == 'pull_request' }} | |
with: | |
retention-days: 14 | |
s3-bucket: doc-previews | |
if-no-files-found: error | |
path: docs | |
s3-prefix: pytorch/torchtune/${{ github.event.pull_request.number }} | |
upload: | |
runs-on: ubuntu-latest | |
needs: build_docs | |
if: github.repository_owner == 'pytorch' && github.event_name == 'push' && (github.ref == 'refs/heads/main' || startsWith(github.ref, 'refs/tags/v')) | |
environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docs-push' || '' }} | |
steps: | |
- name: Checkout | |
uses: actions/checkout@v3 | |
with: | |
ref: gh-pages | |
persist-credentials: false | |
- name: Download artifact | |
uses: actions/download-artifact@v3 | |
with: | |
name: Built-Docs | |
path: docs | |
- name: Add no-index tag | |
run: | | |
REF_NAME=$(echo "${{ github.ref }}") | |
echo "Ref name: ${REF_NAME}" | |
if [[ "${{ github.ref }}" == 'refs/heads/main' ]]; then | |
find docs -name "*.html" -print0 | xargs -0 sed -i '/<head>/a \ \ <meta name="robots" content="noindex">'; | |
fi | |
- name: Move and commit changes | |
env: | |
GITHUB_PYTORCHBOT_TOKEN: ${{ secrets.GH_PYTORCHBOT_TOKEN }} | |
run: | | |
git remote set-url origin https://pytorchbot:${GITHUB_PYTORCHBOT_TOKEN}@github.com/pytorch/torchtune.git | |
set -euo pipefail | |
# Convert refs/tags/v1.12.0rc3 into 1.12. | |
# Adopted from https://github.com/pytorch/pytorch/blob/main/.github/workflows/_docs.yml#L150C11-L155C13 | |
GITHUB_REF=${{ github.ref }} | |
if [[ "${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}" | |
rm -rf "${TARGET_FOLDER}"/* | |
mv docs/* "${TARGET_FOLDER}" | |
git config user.name 'pytorchbot' | |
git config user.email '[email protected]' | |
git add "${TARGET_FOLDER}" || true | |
git commit -m "auto-generating sphinx docs" || true | |
git push -f |