HOW do you process the data for training? what is the normalization?

[Holmes-Alan]

I tried to use my own data to train your model. I ran into the problem as:

File "/home/server/PCSR_v2/GRNet_network.py", line 115, in forward
pt_features_64_l = self.gridding(partial_cloud).view(batch_size, 1, 64, 64, 64)
File "/home/server/miniconda3/envs/point2mesh/lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in call
result = self.forward(*input, **kwargs)
File "/home/server/PCSR_v2/extensions/gridding/init.py", line 45, in forward
p = p[non_zeros].unsqueeze(dim=0)
RuntimeError: copy_if failed to synchronize: an illegal memory access was encountered

I assume that it is due to the normalization.

[hzxie]

Please make sure that the coordinates of the points range from (-1, 1).
You can simply normalize the coordinates by dividing the maximum value of the coordinates.