class_docstr: Converts data from dataloader to a tuple of tuples with first element as
  the input tuple and second element as the target tuple.
code: def __init__(
      self, dataloader, data=(0,), target=(1,), *args, **kwargs
  ):
      super(Retuple, self).__init__(
          dataloader, index=None, *args, **kwargs
      )
  
      self._data = data
      self._target = target
      self.output = None
  
imports: from __future__ import division
  import numpy
  from neon import NervanaObject
label_desc: Use image node_id 1 to create a new Retuple object from inherited base classes: DataLoaderTransformer with example: obj = Retuple(dataloader, data, target)