class_docstr: Quantize tensor based on a moving average of values across batches.
class_docstr_tok: ["Quantize","tensor","based","on","a","moving","average","of","values","across","batches","."]
code: def get_config(self):
      return {
          "num_bits": self.num_bits,
          "per_axis": self.per_axis,
          "symmetric": self.symmetric,
          "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 MovingAverageQuantizer obj's underlying member method code with example usage: obj.get_config() and returns: dict