class_docstr: Simply forward the list of input data.
  This is particularly useful when the Dataset contains textual data
  and in conjonction with the `Group` batchify function.
  Examples
  --------
  >>> a = ([1, 2, 3, 4], "I am using MXNet")
  >>> b = ([5, 7, 2, 5], "Gluon rocks!")
  >>> c = ([1, 2, 3, 4], "Batchification!")
  >>> _, l = Group(Stack(), AsList())([a, b, c])
  >>> l
  ['I am using MXNet', 'Gluon rocks!', 'Batchification!']
docstr: Parameters
  ----------
  data : list
      The list of samples
  Returns
  -------
  ret : list
      The input list
docstr_tok: ["Parameters","--","--","--","--","--","data",":","list","The","list","of","samples","Returns","--","--","--","-","ret",":","list","The","input","list"]
code: def __call__(self, data):
      """
      Parameters
      ----------
      data : list
          The list of samples
      Returns
      -------
      ret : list
          The input list
      """
      return list(data)
  
imports: import math
  import warnings
  import numpy
  from ...device import Device, cpu
  from ...None import ndarray
  from ...None import numpy
  from ...util import is_np_array
label_desc: Use image node_id 1 for calling the AsList obj's underlying member method code with example usage: obj.__call__(data) and returns: list