code: def unpack_sequences_as_one_step_batch(pack):
      if isinstance(pack, nn.utils.rnn.PackedSequence):
          return pack.data
      elif isinstance(pack, tuple):
          return tuple(
              unpack_sequences_as_one_step_batch(x) for x in pack
          )
      else:
          return pack
  
file_path: pfrl/pfrl/utils/recurrent.py
imports: import itertools
  import numpy
  import torch
  from torch import nn
label_desc: Use image node_id 6 for calling a global function with example usage: unpack_sequences_as_one_step_batch(pack) and returns: pack, tuple, pack