class_docstr: Encoding stage taking the difference between a sequence of integers.
  
  This encoding stage can be useful when the original integers can be large, but
  the difference of the integers are much smaller values and have a more compact
  representation. For example, it can be combined with the
  `SplitBySmallValueEncodingStage` to further compress the increasing sequence
  of indices.
  
  The encode method expects a tensor with 1 dimension and with integer dtype.
docstr: See base class.
docstr_tok: ["See","base","class","."]
code: def get_params(self):
      """See base class."""
      return collections.OrderedDict(), collections.OrderedDict()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import tensorflow
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.core import encoding_stage
label_desc: Use image node_id 5 for calling the DifferenceBetweenIntegersEncodingStage obj's underlying member method code with example usage: obj.get_params() and returns: collections,  collections