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Here's a simple code snippet to reproduce the issue:
import torch import kaolin as kal pos = torch.tensor([[-4.2789e-01, -3.6873e-01, -1.1282e-08], [-4.2789e-01, -5.5366e-01, -1.1282e-08]], device='cuda:0') spc = kal.ops.conversions.pointcloud.unbatched_pointcloud_to_spc(pos, 7) query_idx = kal.ops.spc.unbatched_query(spc.octrees, spc.exsum, pos, level=7) print(query_idx)
and it produces tensor([-1, -1], device='cuda:0').
I'm using kaolin 0.17.0 with torch-2.2.1_cu121
The text was updated successfully, but these errors were encountered:
BTW, quantize_points before unbatched_query gives the correct answer
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Here's a simple code snippet to reproduce the issue:
and it produces tensor([-1, -1], device='cuda:0').
I'm using kaolin 0.17.0 with torch-2.2.1_cu121
The text was updated successfully, but these errors were encountered: