Comments (2)
lxxue
commented on August 28, 2024
Mine works with gcc/g++ 7.5.0, cuda 10.2 (10.1 should also works) and python 3.8.2 on ubuntu 18.04. Will check it out after a report deadline in several hours...
scan( grid_off.contiguous().data_ptr<int>(), grid_cnt.contiguous().data_ptr<int>(), num_grids, true );
The code looks fine to me. I use this conversion from at::Tensor to type* throughout the library. Maybe you can check your pytorch version? Mine is 1.6.0 and it is working.
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yuhao
commented on August 28, 2024
Hmm update pytorch to 1.8 seems to do the trick. Thanks.
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Related Issues (10)
- Maybe need to pay attention to The Precision of Float Type... HOT 3
- GPU memory cache HOT 1
- What is the function of the grid points? Can it be used to subsample a point cloud in a voxel downsample way? HOT 3
- What are the limits on dimension and K? HOT 22
- CUDA OOM(potential enhancement) HOT 5
- changes to frnn.py doesn't take effect HOT 4
- Weird OOM in frnn_gather HOT 3
- Assertion `cell_idx < G` failed HOT 1
- Import _C error HOT 9
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