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Optimize CE Loss by casting dtype to float32 inside kernel (#406) #290

Optimize CE Loss by casting dtype to float32 inside kernel (#406)

Optimize CE Loss by casting dtype to float32 inside kernel (#406) #290

name: Publish Liger Kernel Nightly
# Though it is name "nightly", we will trigger this workflow on push to the main branch for convenience.
on:
push:
branches:
- main # Trigger on push to the main branch
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v3
with:
python-version: '3.8'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install build twine wheel toml
- name: Update package name and version
run: |
VERSION=$(python -c "import toml; print(toml.load('pyproject.toml')['project']['version'])")
DATE=$(date +%Y%m%d%H%M%S)
NEW_VERSION="$VERSION.dev$DATE"
sed -i "s/name = \"liger_kernel\"/name = \"liger_kernel_nightly\"/" pyproject.toml
sed -i "s/version = \"$VERSION\"/version = \"$NEW_VERSION\"/" pyproject.toml
- name: Build package
run: |
python -m build
- name: Publish package to PyPI
env:
TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
TWINE_PASSWORD: ${{ secrets.PYPI_NIGHTLY_PASSWORD }}
run: |
twine upload dist/*
- name: Create release notes
run: |
echo "Nightly build published to PyPI with the name 'liger-kernel-nightly'."