code: def get(identifier):
      """Get a loss scale object."""
      if isinstance(identifier, (int, float)):
          return FixedLossScale(identifier)
      if identifier == "dynamic":
          return DynamicLossScale()
      if isinstance(identifier, LossScale):
          return identifier
      elif identifier is None:
          return None
      else:
          raise ValueError(
              "Could not interpret loss scale identifier: %s"
              % identifier
          )
  
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 4 for calling a global function with example usage: get(identifier) and returns: FixedLossScale, DynamicLossScale, identifier, None