class_docstr: Quantize tensor based on min/max of tensor values with the fixed range.
class_docstr_tok: ["Quantize","tensor","based","on","min\/max","of","tensor","values","with","the","fixed","range","."]
code: def __ne__(self, other):
      return not self.__eq__(other)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import six
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quant_ops
label_desc: Use image node_id 6 for calling the FixedQuantizer obj's underlying member method code with example usage: obj.__ne__(other) and returns: unknown