code: def get_device_policy():
      """Gets the current device policy.
  
      The device policy controls how operations requiring inputs on a specific
      device (e.g., on GPU:0) handle inputs on a different device (e.g. GPU:1).
  
      This function only gets the device policy for the current thread. Any
      subsequently started thread will again use the default policy.
  
      Returns:
        Current thread device policy
      """
      device_policy = context.context().device_policy
      if device_policy == context.DEVICE_PLACEMENT_SILENT:
          return "silent"
      elif device_policy == context.DEVICE_PLACEMENT_SILENT_FOR_INT32:
          return "silent_for_int32"
      elif device_policy == context.DEVICE_PLACEMENT_WARN:
          return "warn"
      elif device_policy == context.DEVICE_PLACEMENT_EXPLICIT:
          return "explicit"
      else:
          # pylint: disable-next=no-value-for-parameter
          raise errors.InternalError(
              f"Got an invalid device policy: {device_policy!r}."
          )
  
imports: from typing import Union
  from tensorflow.python.eager import context
  from tensorflow.python.framework import errors
  from tensorflow.python.util import _pywrap_determinism
  from tensorflow.python.util import _pywrap_tensor_float_32_execution
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 13 for calling a global function with example usage: get_device_policy() and returns: str, str, str, str