code: def get(identifier):
      """Retrieves a Keras initializer object via an identifier.
  
      The `identifier` may be the string name of a initializers function or class
      (case-sensitively).
  
      >>> identifier = 'Ones'
      >>> keras.initializers.deserialize(identifier)
      <...keras.initializers.initializers.Ones...>
  
      You can also specify `config` of the initializer to this function by passing
      dict containing `class_name` and `config` as an identifier. Also note that
      the `class_name` must map to a `Initializer` class.
  
      >>> cfg = {'class_name': 'Ones', 'config': {}}
      >>> keras.initializers.deserialize(cfg)
      <...keras.initializers.initializers.Ones...>
  
      In the case that the `identifier` is a class, this method will return a new
      instance of the class by its constructor.
  
      Args:
          identifier: String or dict that contains the initializer name or
              configurations.
  
      Returns:
          Initializer instance base on the input identifier.
      """
      if identifier is None:
          return None
      if isinstance(identifier, dict):
          obj = deserialize(identifier)
      elif isinstance(identifier, str):
          config = {"class_name": str(identifier), "config": {}}
          obj = deserialize(config)
      else:
          obj = identifier
  
      if callable(obj):
          if inspect.isclass(obj):
              obj = obj()
          return obj
      else:
          raise ValueError(
              f"Could not interpret initializer identifier: {identifier}"
          )
  
imports: import inspect
  from keras.api_export import keras_export
  from keras.initializers.constant_initializers import Constant
  from keras.initializers.constant_initializers import Identity
  from keras.initializers.constant_initializers import Ones
  from keras.initializers.constant_initializers import Zeros
  from keras.initializers.initializer import Initializer
  from keras.initializers.random_initializers import GlorotNormal
  from keras.initializers.random_initializers import GlorotUniform
  from keras.initializers.random_initializers import HeNormal
  from keras.initializers.random_initializers import HeUniform
  from keras.initializers.random_initializers import LecunNormal
  from keras.initializers.random_initializers import LecunUniform
  from keras.initializers.random_initializers import OrthogonalInitializer
  from keras.initializers.random_initializers import RandomNormal
  from keras.initializers.random_initializers import RandomUniform
  from keras.initializers.random_initializers import TruncatedNormal
  from keras.initializers.random_initializers import VarianceScaling
  from keras.saving import serialization_lib
  from keras.utils.naming import to_snake_case
label_desc: Use image node_id 3 for calling a global function with example usage: get(identifier) and returns: None, obj