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 build(self, tensor_shape, name, layer):
      return self._add_range_weights(layer, name)
  
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 2 for calling the MovingAverageQuantizer obj's underlying member method code with example usage: obj.build(tensor_shape, name, layer) and returns: self