class_docstr: Loss scale with a fixed value.
  
  The loss scale is not updated for the lifetime of instances of this class.
  A given instance of this class always returns the same number when called.
class_docstr_tok: ["Loss","scale","with","a","fixed","value",".","The","loss","scale","is","not","updated","for","the","lifetime","of","instances","of","this","class",".","A","given","instance","of","this","class","always","returns","the","same","number","when","called","."]
code: def get_config(self):
      return {"loss_scale_value": self._loss_scale_value}
  
imports: import abc
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import reduce_util
  from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import variables
  from tensorflow.python.trackable import base
  from tensorflow.python.util import deprecation
  from tensorflow.python.util import nest
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 5 for calling the FixedLossScale obj's underlying member method code with example usage: obj.get_config() and returns: dict