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Pointcept / Pointcept

Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

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Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

hpc100 opened this issue · comments

commented

Hello,

Thank's for your amazing work.

I install Point Transformer V3 on A6000 GPU and when I run CUDA_LAUNCH_BLOCKING=1 CUDA_VISIBLE_DEVICES=1 sh scripts/train.sh -g 1 -d s3dis -c semseg-pt-v3m1-1-rpe -n semseg-pt-v3m1-1-rpe I got this error
RuntimeError: Trainer: CUDA error: the provided PTX was compiled with an unsupported toolchain. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

I install point_opts and pointgroup_ops with TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6+PTX"

Any solutions ?

Thank's in advance.

commented

Hi, no need to set TORCH_CUDA_ARCH_LIST if you build the lib and run the lib on the same GPU arch.

commented

I got the same., with installing without TORCH_CUDA_ARCH_LIST and simply run python setup.py install

commented

Yes, I used it to make docker environments.