class_docstr: No-op activation which simply returns the incoming tensor.
  
  This activation is required to distinguish between `keras.activations.linear`
  which does the same thing. The main difference is that NoOpActivation should
  not have any quantize operation applied to it.
class_docstr_tok: ["No-op","activation","which","simply","returns","the","incoming","tensor",".","This","activation","is","required","to","distinguish","between","`","keras.activations.linear","`","which","does","the","same","thing",".","The","main","difference","is","that","NoOpActivation","should","not","have","any","quantize","operation","applied","to","it","."]
docstr: Ensure this works on Python2.
docstr_tok: ["Ensure","this","works","on","Python2","."]
code: def __ne__(self, other):
      """Ensure this works on Python2."""
      return not self.__eq__(other)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tensorflow_model_optimization.python.core.keras import utils
  from tensorflow_model_optimization.python.core.quantization.keras import utils
label_desc: Use image node_id 5 for calling the NoOpActivation obj's underlying member method code with example usage: obj.__ne__(other) and returns: unknown