Pointnet_Pointnet2_pytorch
                                
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                        It takes a long time to train semantic segmentation models
when I train my own dataset (point clouds of bridges and roads), it takes 15h for just one epoch.
How can I improve my model? Which parameters should I change?
I have already tried changing the parameter stride and block_size, but it didn't work on my dataset.
Can anyone help me out, thanks a lot!