class_docstr: Args:
    data (:obj:`nnabla.Variable`): Packed sequence.
    batch_sizes (:obj:`nnabla.Variable`): Batch size for each time step and always resides in CPU.
    sorted_indices (:obj:`nnabla.Variable`): Sorted indices to reconstruct the original sequences.
    unsorted_indices (:obj:`nnabla.Variable`): Unsorted indices to reconstruct the original sequences.
class_docstr_tok: ["Args",":","data","(",":","obj",":","`","nnabla.Variable","`",")",":","Packed","sequence",".","batch_sizes","(",":","obj",":","`","nnabla.Variable","`",")",":","Batch","size","for","each","time","step","and","always","resides","in","CPU",".","sorted_indices","(",":","obj",":","`","nnabla.Variable","`",")",":","Sorted","indices","to","reconstruct","the","original","sequences",".","unsorted_indices","(",":","obj",":","`","nnabla.Variable","`",")",":","Unsorted","indices","to","reconstruct","the","original","sequences","."]
code: def __init__(self):
      self.data = None
      self.batch_sizes = None
      self.sorted_indices = None
      self.unsorted_indices = None
  
file_path: nnabla/python/src/nnabla/utils/rnn.py
imports: import nnabla
  import nnabla.functions
  import numpy
label_desc: Use image node_id 1 to create a new PackedSequence object from inherited base classes: object with example: obj = PackedSequence()