class_docstr: Dataset as a concatenation of multiple datasets.
  
  This class is useful to assemble different existing datasets.
  
  Args:
      datasets (sequence): List of datasets to be concatenated
class_docstr_tok: ["Dataset","as","a","concatenation","of","multiple","datasets",".","This","class","is","useful","to","assemble","different","existing","datasets",".","Args",":","datasets","(","sequence",")",":","List","of","datasets","to","be","concatenated"]
code: def cummulative_sizes(self):
      warnings.warn(
          "cummulative_sizes attribute is renamed to "
          "cumulative_sizes",
          DeprecationWarning,
          stacklevel=2,
      )
      return self.cumulative_sizes
  
imports: import bisect
  import itertools
  import math
  import warnings
  from typing import cast, Dict, Generic, Iterable, List, Optional, Sequence, Tuple, TypeVar, Union
  from torch import default_generator, randperm
  from ...None import Generator, Tensor
label_desc: Use image node_id 5 for calling the ConcatDataset obj's underlying member method code with example usage: obj.cummulative_sizes() and returns: self