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https://github.com/nerfstudio-project/nerfstudio.git
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- Bump gsplat to >=1.5.3 (sm_120-capable release line) and nerfacc to >=0.5.3 - Drop EOL Python 3.8/3.9: requires-python >=3.10, CI publish/doc workflows - torch.load(..., weights_only=False) for torch>=2.6 checkpoint compatibility - Use torch.amp custom_fwd/custom_bwd with device_type="cuda" (torch>=2.4 API) - Replace deprecated PIL private encoder API in pil_to_numpy with np.asarray (fixes Pillow>=11 compatibility) - Docs: add Torch 2.8+ / CUDA 12.8 install tab for Blackwell GPUs Tested on RTX 5060 (sm_120) with torch 2.11.0+cu128: splatfacto and nerfacto train end-to-end and ns-render produces correct output.
32 lines
952 B
YAML
32 lines
952 B
YAML
# This workflows will upload a Python Package using twine when a release is created
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# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
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name: Upload Python Package
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on:
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release:
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types: [created]
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jobs:
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deploy:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python
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uses: actions/setup-python@v1
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with:
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python-version: '3.10'
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- name: Install dependencies
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run: |
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python -m pip install build twine
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- name: Strip unsupported tags in README
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run: |
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sed -i '/<!-- pypi-strip -->/,/<!-- \/pypi-strip -->/d' README.md
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- name: Build and publish
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env:
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PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }}
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run: |
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python -m build
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twine upload --username __token__ --password $PYPI_TOKEN dist/*
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