code: def value(self):
      value = super().value
      # Create and use a symbolic tensor stub in symbolic calls.
      if str(get_device()) == "meta" and str(value.device) != "meta":
          return torch.empty(
              size=value.shape,
              dtype=value.dtype,
              device="meta",
          )
      return value
  
imports: import contextlib
  import os
  import numpy
  import torch
  import tree
  from keras.backend.common import KerasVariable
  from keras.backend.common import global_state
  from keras.backend.common import standardize_dtype
  from keras.backend.common.dtypes import result_type
  from keras.backend.common.keras_tensor import KerasTensor
  from keras.backend.common.stateless_scope import StatelessScope
  from keras.backend.config import floatx
  from keras.utils.nest import pack_sequence_as
label_desc: Use image node_id 6 for calling the Variable obj's underlying member method code with example usage: obj.value() and returns: value, torch