Open acavalli1996 opened 2 years ago
Hy, thanks for your work! During the training of the vrcnet, the following problem occurs:
Especially, the problem occurs whithin the function edge_preserving_sampling, which is called inside the forward of the SA_SKN_Res_encoder:
ds_features, p_idx, pn_idx, ds_points = edge_preserve_sampling(features, points, sample_num, k)
and the feature tensors become full nan tensors. Is there a way to solve this problem? Did I do something wrong during the training?
Hy, thanks for your work! During the training of the vrcnet, the following problem occurs:
Especially, the problem occurs whithin the function edge_preserving_sampling, which is called inside the forward of the SA_SKN_Res_encoder:
ds_features, p_idx, pn_idx, ds_points = edge_preserve_sampling(features, points, sample_num, k)
and the feature tensors become full nan tensors. Is there a way to solve this problem? Did I do something wrong during the training?