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 __str__(self):
      return (
          "data={}, batch_sizes={}, "
          "sorted_indices={}, unsorted_indices={self.unsorted_indices}".format(
              self.data,
              self.batch_sizes,
              self.sorted_indices,
              self.unsorted_indices,
          )
      )
  
file_path: nnabla/python/src/nnabla/utils/rnn.py
imports: import nnabla
  import nnabla.functions
  import numpy
label_desc: Use image node_id 2 for calling the PackedSequence obj's underlying member method code with example usage: obj.__str__() and returns: str