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* Use github docker registry * Fix DDP train for GPU in exclusive mode * Improve docker image - compile gsplat, decrease image size * Drop unrelated change * Add build docker image action * Rename build docker image action * nit * Remove commented line from Dockerfile * Fix dockerfile when explicit source is specified * Fix failing dynamo build for torch.compile * Lock dockerfile and tcnn versions * Add `torch.cuda.is_available()` condition * Drop set_cuda_device * Fix build docker image github action * Docker build save disk space * Set MAX_JOBS to limit resource usage for docker build * Try bumping `MAX_JOBS` 2 => 4 * Install fixed gsplat version from nerfstudio's pyproject.toml * Update docs * Finish docker build action * Fix ignores push when PR --------- Co-authored-by: Gina Wu <ginawu98@gmail.com> Co-authored-by: Brent Yi <yibrenth@gmail.com> |
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| .. | ||
| imgs | ||
| custom_dataset.md | ||
| data_conventions.md | ||
| existing_dataset.md | ||
| export_geometry.md | ||
| first_nerf.md | ||
| installation.md | ||
| viewer_quickstart.rst | ||