class_docstr: Encoding stage splitting the input by small values.
  
  This encoding stage will split the input into two outputs: the value and the
  indices of the elements whose absolute value is larger than a certain
  threshold. The elements smaller than the threshold is then decoded to zero.
docstr: See base class.
docstr_tok: ["See","base","class","."]
code: def get_params(self):
      """See base class."""
      encode_params = collections.OrderedDict(
          [(self.THRESHOLD_PARAMS_KEY, self._threshold)]
      )
      decode_params = collections.OrderedDict()
      return encode_params, decode_params
  
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 6 for calling the SplitBySmallValueEncodingStage obj's underlying member method code with example usage: obj.get_params() and returns: encode_params,  decode_params