code: def _initialize(self, value):
      value = jnp.array(value, dtype=self._dtype)
      # Note that variable.shape is needed by distribution_lib
      self._shape = tuple(value.shape)
      # We can't import the keras/distribution/distribution_lib
      # due to circular dependency.
      distribution = global_state.get_global_attribute("distribution")
      if distribution is not None:
          self._layout = distribution_lib._to_jax_layout(
              distribution.get_variable_layout(self)
          )
      else:
          self._layout = None
      self._direct_assign(value)
  
imports: import types
  import jax
  import jax.numpy
  import numpy
  import tree
  from jax.tree_util import Partial
  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.stateless_scope import StatelessScope
  from keras.backend.jax import distribution_lib
  from keras.utils.nest import pack_sequence_as
label_desc: Use image node_id 1 for calling the Variable obj's underlying member method code with example usage: obj._initialize(value) without return types