code: def get_device():
      device = global_state.get_global_attribute("torch_device", None)
      if device is None:
          return DEFAULT_DEVICE
      return device
  
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 2 for calling a global function with example usage: get_device() and returns: device, DEFAULT_DEVICE