code: def _initialize(self, value):
      self._value = tf.Variable(
          value,
          dtype=self._dtype,
          trainable=self.trainable,
          name=self.name,
      )
  
imports: import types
  import numpy
  import tensorflow
  from tensorflow.compiler.tf2xla.python.xla import dynamic_update_slice
  from keras.backend.common import KerasVariable
  from keras.backend.common import global_state
  from keras.backend.common import standardize_dtype
  from keras.backend.common.keras_tensor import KerasTensor
  from keras.backend.common.name_scope import name_scope
  from keras.backend.common.stateless_scope import StatelessScope
  from keras.backend.common.stateless_scope import in_stateless_scope
  from keras.utils.naming import auto_name
label_desc: Use image node_id 2 for calling the Variable obj's underlying member method code with example usage: obj._initialize(value) without return types