class_docstr: A classic batch object wrapper with :class:`Pair`. Used for Dense Pair Batch (ie pointcloud with fixed size).
      
class_docstr_tok: ["A","classic","batch","object","wrapper","with",":","class",":","`","Pair","`",".","Used","for","Dense","Pair","Batch","(","ie","pointcloud","with","fixed","size",")","."]
code: def __init__(self, batch=None, **kwargs):
      super(DensePairBatch, self).__init__(**kwargs)
  
      self.batch = batch
      self.__data_class__ = Data
  
imports: import torch
  from typing import List, Optional
  from torch_geometric.data import Data
  from torch_geometric.data import Batch
  from torch_points3d.datasets.multiscale_data import MultiScaleBatch, MultiScaleData
  import re
label_desc: Use image node_id 1 to create a new DensePairBatch object from inherited base classes: Pair with example: obj = DensePairBatch(batch)