code: def __init__(self, k, dilation):
      self.k = k
      self.dilation = dilation
      self.initialFinder = KNNNeighbourFinder(k * dilation)
  
imports: from abc import ABC, abstractmethod
  from typing import List, Union, cast
  import torch
  from torch_geometric.nn import knn, radius
  import torch_points_kernels
  from torch_points3d.utils.config import is_list
  from torch_points3d.utils.enums import ConvolutionFormat
  from torch_points3d.utils.debugging_vars import DEBUGGING_VARS, DistributionNeighbour
label_desc: Use image node_id 1 to create a new DilatedKNNNeighbourFinder object from inherited base classes: BaseNeighbourFinder with example: obj = DilatedKNNNeighbourFinder(k, dilation)