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yesMohanHere
88ee118755
CUDA 12.8-based image variant that can build for and run on sm_120: - nvidia/cuda:12.8.1 base, PyTorch 2.8.0+cu128 (ships sm_120 kernels) - CUDA_ARCHITECTURES defaults to 120; arch-list awk handles 3-digit archs - COLMAP 3.12.6 / GLOMAP 1.2.0 (CUDA 12.8-compatible releases) - tiny-cuda-nn pinned to a Blackwell-capable master commit - tcnn/gsplat built with --no-build-isolation - nerfacc JIT kernels pre-compiled at build time (runtime stage has no nvcc) - apt sandbox workaround for seccomp-related GPG verification failures - docs: mention the variant in the docker install section Validated on RTX 5060: image builds clean; splatfacto and nerfacto both train to completion inside the container.