code: def get_internal_losses(self):
      return {
          "orthogonal_regularization_loss": self.get_orthogonal_regularization_loss()
      }
  
imports: import torch
  from torch_geometric.nn import global_max_pool, global_mean_pool
  from torch_points3d.core.common_modules.base_modules import *
  from torch_points3d.core.common_modules.spatial_transform import BaseLinearTransformSTNkD
  from torch_points3d.models.base_model import BaseInternalLossModule
label_desc: Use image node_id 3 for calling the PointNetSTNkD obj's underlying member method code with example usage: obj.get_internal_losses() and returns: dict