class_docstr: Class outlining the default Tracing Protocol for Scalarizer.
  
  If included as an argument, corresponding tf.function will always retrace for
  each usage.
  
  Derived classes can override this behavior by specifying their own Tracing
  Protocol.
class_docstr_tok: ["Class","outlining","the","default","Tracing","Protocol","for","Scalarizer",".","If","included","as","an","argument",",","corresponding","tf.function","will","always","retrace","for","each","usage",".","Derived","classes","can","override","this","behavior","by","specifying","their","own","Tracing","Protocol","."]
code: def __init__(self, value):
      self._value = value
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import copy
  from typing import Callable, Dict, NamedTuple, Optional, Sequence, Union
  import numpy
  import six
  import tensorflow.compat.v2
label_desc: Use image node_id 1 to create a new ScalarizerTraceType object from inherited base classes: tf.types.experimental with example: obj = ScalarizerTraceType(value)