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I just tried the new kaolin build on windows 10. pip install kaolin==0.14.0 -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.0.1_cu118.html
However, I am getting the following error when calling the chamfer_distance: kaolin.metrics.pointcloud.chamfer_distance(pts.unsqueeze(0), inpts.unsqueeze(0)).mean()
File "C:\Users\vader\Documents\HML\.venv\Lib\site-packages\kaolin\metrics\pointcloud.py", line 32, in forward dist, idx = _C.metrics.sided_distance_forward_cuda(p1, p2) RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
Any idea how to fix this? Thank you.
The text was updated successfully, but these errors were encountered:
I have checked the CUDA version with the torch version, and they are matching and working. But CUDA does not work well on kaolin, I have no idea why is that happening.
Hi,
I just tried the new kaolin build on windows 10.
pip install kaolin==0.14.0 -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.0.1_cu118.html
However, I am getting the following error when calling the chamfer_distance:
kaolin.metrics.pointcloud.chamfer_distance(pts.unsqueeze(0), inpts.unsqueeze(0)).mean()
File "C:\Users\vader\Documents\HML\.venv\Lib\site-packages\kaolin\metrics\pointcloud.py", line 32, in forward dist, idx = _C.metrics.sided_distance_forward_cuda(p1, p2) RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
Any idea how to fix this? Thank you.
The text was updated successfully, but these errors were encountered: