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 build(self, tensor_shape, name, layer):
      pass
  
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 FixedQuantizer obj's underlying member method code with example usage: obj.build(tensor_shape, name, layer) without return types