class_docstr: Upsampling module from PointNet++
  
  Arguments:
      k [int] -- number of nearest neighboors used for the interpolation
      up_conv_nn [List[int]] -- list of feature sizes for the uplconv mlp
class_docstr_tok: ["Upsampling","module","from","PointNet++","Arguments",":","k","[","int","]","--","number","of","nearest","neighboors","used","for","the","interpolation","up_conv_nn","[","List","[","int","]","]","--","list","of","feature","sizes","for","the","uplconv","mlp"]
code: def extra_repr(self):
      return "Nb parameters: %i" % self.nb_params
  
imports: from abc import abstractmethod
  from typing import *
  import torch
  from torch.nn import Linear, ReLU, LeakyReLU, BatchNorm1d, Dropout
  from torch_geometric.nn import knn_interpolate, fps, radius, global_max_pool, global_mean_pool, knn
  from torch_geometric.data import Batch
  from torch_points3d.core.base_conv.base_conv import *
  from torch_points3d.core.common_modules import *
  from torch_points3d.core.spatial_ops import *
label_desc: Use image node_id 3 for calling the FPModule obj's underlying member method code with example usage: obj.extra_repr() and returns: unknown