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 get_config(self):
      return {
          "num_bits": self.num_bits,
          "init_min": self.init_min,
          "init_max": self.init_max,
          "narrow_range": self.narrow_range,
      }
  
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 4 for calling the FixedQuantizer obj's underlying member method code with example usage: obj.get_config() and returns: dict