code: def __init__(
      self,
      x=None,
      y=None,
      pos=None,
      multiscale: Optional[List[Data]] = None,
      upsample: Optional[List[Data]] = None,
      **kwargs,
  ):
      super().__init__(
          x=x,
          y=y,
          pos=pos,
          multiscale=multiscale,
          upsample=upsample,
          **kwargs,
      )
  
file_path: torch-points3d/torch_points3d/datasets/multiscale_data.py
imports: from typing import List, Optional
  import torch
  import copy
  import torch_geometric
  from torch_geometric.data import Data
  from torch_geometric.data import Batch
label_desc: Use image node_id 1 to create a new MultiScaleData object from inherited base classes: Data with example: obj = MultiScaleData(x, y, pos, multiscale, upsample)