Added support for torch-2.8.0+cu128 to support Blackwell (RTX50XX) graphics cards. - #3653
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nicogorlo wants to merge 4 commits into
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Added support for torch-2.8.0+cu128 to support Blackwell (RTX50XX) graphics cards.#3653nicogorlo wants to merge 4 commits into
nicogorlo wants to merge 4 commits into
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just wanted to add some support to this PR. This functionality would be greatly beneficial, and if I can add resources to help push over the line I'd be happy to do so (bandwidth permitting). |
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Hi! I can help get this merged, but we should get the build to pass. It looks like Pyright is complaining about Options are:
I'm learning toward the former, does anybody have time to help? |
pantelis
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Apr 12, 2026
- Dockerfile.nerfstudio.dev.gpu: install nerfstudio from nicogorlo/nerfstudio fork (PR nerfstudio-project/nerfstudio#3653) which adds torch-2.8.0+cu128 support for Blackwell sm_120 GPUs (RTX 50XX / RTX PRO 6000) - demo.ipynb: switch from nerfacto to splatfacto — Gaussian Splatting is the project theme and splatfacto avoids the num-proposal-samples config parser bug in nerfacto Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@brentyi Dropping python 3.8, and even 3.9 seems very reasonable since both are EOL. |
f-dy
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Jul 28, 2026
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As it stands, nerfstudio is not compatible with Blackwell Nvidia GPU architecture, as the only torch/cuda version supporting sm_120 architectures is 2.8.0+cu128.
Some of the functions used in nerfstudio have been deprecated since torch 2.6. The proposed changes would make nerfstudio compatible with the Blackwell architecture and the latest version of torch while retaining backward compatibility with older torch versions.
Fixes:
torch.load(..., weights_only=True)(the new default) will refuse to deserialize any Python globals that arent explicitly allow-listed, thus explicitly settingweights_only=False.torch.cuda.amp.custom_bwdis deprecated. Changes totorch.amp.custom_bwd(device_type='cuda')