Traceback (most recent call last):
File ".../anaconda3/envs/py37/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3524, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-8-06bbdd2e2640>", line 1, in <module>
self.__class__([im.select_points(idx, mode=mode) for im in self])
File "<ipython-input-8-06bbdd2e2640>", line 1, in <listcomp>
self.__class__([im.select_points(idx, mode=mode) for im in self])
File ".../DeepViewAgg/torch_points3d/core/multimodal/image.py", line 856, in select_points
return self.clone()
File ".../DeepViewAgg/torch_points3d/core/multimodal/image.py", line 1170, in clone
out._x = self.x.clone() if self.x is not None \
RuntimeError: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
The training parameters are the same as yours, except the batch_size is 2.
Hi, thanks for your great work!
When I try to train on the kitti360 dataset, I get the following error:
The training parameters are the same as yours, except the batch_size is 2.