- 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.
* gh-pages workflow
* update doc.yml
* update
* remove RTD
* change action to main
* test fail on warning
* fail on warnings
* get back .readthedocs.yml, a bit cleanup
* revert SHA of index.md file