class_docstr: Quantize tensor based on range the last batch of values.
class_docstr_tok: ["Quantize","tensor","based","on","range","the","last","batch","of","values","."]
code: def __eq__(self, other):
      if not isinstance(other, LastValueQuantizer):
          return False
  
      return (
          self.num_bits == other.num_bits
          and self.per_axis == other.per_axis
          and self.symmetric == other.symmetric
          and self.narrow_range == other.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 5 for calling the LastValueQuantizer obj's underlying member method code with example usage: obj.__eq__(other) and returns: unknown, False