Ran into a bug while reproducing the paper：cuda execution failed with error 222

[zdkstdio]

I'm having some trouble trying to reproduce the algorithm. I wonder if it's my environment configuration that's having some issues.
The environment I use is basically according to the configuration requirements in git: python version 3.6.2, pytorch is 1.2.0, cuda version 10.0, graphics card is 3080Ti (12GB), but I still get cuda execution failed with error 500 when I call the torch.ops.spconv.get_indice_pairs_3d() function at the start of training

The function with the error is：torch.ops.spconv.get_indice_pairs_3d()

I initially suspected that it was the graphics card that there was not enough memory, tried training with the smallest Lihu dataset and scaling down the batch_size and max_npoint, and still didn't solve the problem.

[zdkstdio]

I'm having some trouble trying to reproduce the algorithm. I wonder if it's my environment configuration that's having some issues. The environment I use is basically according to the configuration requirements in git: python version 3.6.2, pytorch is 1.2.0, cuda version 10.0, graphics card is 3080Ti (12GB), but I still get cuda execution failed with error 500 when I call the torch.ops.spconv.get_indice_pairs_3d() function at the start of training

The function with the error is：torch.ops.spconv.get_indice_pairs_3d()

I initially suspected that it was the graphics card that there was not enough memory, tried training with the smallest Lihu dataset and scaling down the batch_size and max_npoint, and still didn't solve the problem.

I solved this problem because the environment of the paper is a long time ago, and the current 30X graphics card no longer supports the Cuda10.X version, so I changed the graphics card to 2080 and it ran through.