code: def get(identifier):
      """Get a loss scale object."""
      if isinstance(identifier, dict):
          return deserialize(identifier)
  
      if isinstance(identifier, (int, float)):
          return loss_scale_module.FixedLossScale(identifier)
      if identifier == "dynamic":
          return loss_scale_module.DynamicLossScale()
      if isinstance(identifier, loss_scale_module.LossScale):
          return identifier
      elif identifier is None:
          return None
      else:
          raise ValueError(
              "Could not interpret loss scale identifier: %s"
              % identifier
          )
  
imports: from tensorflow.python.keras.utils import generic_utils
  from tensorflow.python.training.experimental import loss_scale
label_desc: Use image node_id 3 for calling a global function with example usage: get(identifier) and returns: deserialize, loss_scale_module, loss_scale_module, identifier, None