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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?
The text was updated successfully, but these errors were encountered:
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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?
The text was updated successfully, but these errors were encountered: