code: def get(identifier):
      if identifier is None:
          return None
      if isinstance(identifier, dict):
          return deserialize(identifier)
      elif isinstance(identifier, str):
          config = {"class_name": str(identifier), "config": {}}
          return deserialize(config)
      elif callable(identifier):
          return identifier
      else:
          raise ValueError(
              "Could not interpret constraint identifier: "
              + str(identifier)
          )
  
imports: from tensorflow.python.framework import tensor_shape
  from tensorflow.python.keras import backend
  from tensorflow.python.keras.utils.generic_utils import deserialize_keras_object
  from tensorflow.python.keras.utils.generic_utils import serialize_keras_object
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import while_loop
  from tensorflow.tools.docs import doc_controls
label_desc: Use image node_id 3 for calling a global function with example usage: get(identifier) and returns: None, deserialize, deserialize, identifier