code: def device_scope(device_name):
      previous_device = global_state.get_global_attribute(
          "torch_device", None
      )
      current_device = _parse_device_input(device_name)
      global_state.set_global_attribute("torch_device", current_device)
      try:
          yield
      finally:
          global_state.set_global_attribute(
              "torch_device", previous_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 1 for calling a global function with example usage: device_scope(device_name) without return types