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And then we encountered this problem, If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST']. warnings.warn( [reset_object()] self.diameter:0.19646325799497472, vox_size:0.009823162899748735 [reset_object()] self.pts:torch.Size([607, 3]) [reset_object()] reset done [make_rotation_grid()] cam_in_obs:(42, 4, 4) [make_rotation_grid()] rot_grid:(252, 4, 4) Segmentation fault (core dumped)
Annotated this line of code, it's normal now
FoundationPose/estimater.py, line 120 # rot_grid = mycpp.cluster_poses(30, 99999, rot_grid, self.symmetry_tfs.data.cpu().numpy())
I encountered the same problem when using 5060TI.
https://hub.docker.com/r/yanglicb/foundationpose-cuda128
docker pull yanglicb/foundationpose-cuda128changed the code as follows,
[(https://github.com/Add RTX 50 series GPU compatibility via PyTorch 2.7 and CUDA 12.8 #369)]
And then we encountered this problem,
If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST']. warnings.warn( [reset_object()] self.diameter:0.19646325799497472, vox_size:0.009823162899748735 [reset_object()] self.pts:torch.Size([607, 3]) [reset_object()] reset done [make_rotation_grid()] cam_in_obs:(42, 4, 4) [make_rotation_grid()] rot_grid:(252, 4, 4) Segmentation fault (core dumped)Annotated this line of code, it's normal now
FoundationPose/estimater.py, line 120
# rot_grid = mycpp.cluster_poses(30, 99999, rot_grid, self.symmetry_tfs.data.cpu().numpy())