code: def _deferred_initialize(self):
      if self._value is not None:
          raise ValueError(
              f"Variable {self.path} is already initialized."
          )
  
      if in_stateless_scope():
          raise ValueError(
              "You are attempting to initialize a variable "
              "while in a stateless scope. This is disallowed. "
              "Make sure that all variables are initialized "
              "before you start using your layer/model objects."
          )
      with tf.init_scope():
          value = self._initializer(self._shape, dtype=self._dtype)
          self._initialize(value)
  
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 3 for calling the Variable obj's underlying member method code with example usage: obj._deferred_initialize() without return types