code: def deserialize(config, custom_objects=None):
      if isinstance(config, str) and _is_convertible_to_dtype(config):
          return Policy(config)
      if config is None:
          return Policy("_infer")
      module_objects = {"Policy": Policy, "PolicyV1": Policy}
      return generic_utils.deserialize_keras_object(
          config,
          module_objects=module_objects,
          custom_objects=custom_objects,
          printable_module_name="dtype policy",
      )
  
imports: import contextlib
  from tensorflow.python.framework import dtypes
  from tensorflow.python.keras import backend
  from tensorflow.python.keras.engine import base_layer_utils
  from tensorflow.python.keras.mixed_precision import device_compatibility_check
  from tensorflow.python.keras.mixed_precision import loss_scale
  from tensorflow.python.keras.utils import generic_utils
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.training.experimental import mixed_precision_global_state
label_desc: Use image node_id 8 for calling a global function with example usage: deserialize(config, custom_objects) and returns: generic_utils, Policy, Policy