code: def set_device_policy(device_policy):
      """Sets the current thread 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).
  
      When using the default, an appropriate policy will be picked automatically.
      The default policy may change over time.
  
      This function only sets the device policy for the current thread. Any
      subsequently started thread will again use the default policy.
  
      Args:
        device_policy: A device policy.
          Valid values:
          - None: Switch to a system default.
          - 'warn': Copies the tensors which are not on the right device and logs a
            warning.
          - 'explicit': Raises an error if the placement is not as required.
          - 'silent': Silently copies the tensors. Note that this may hide
            performance problems as there is no notification provided when
            operations are blocked on the tensor being copied between devices.
          - 'silent_for_int32': silently copies `int32` tensors, raising errors on
            the other ones.
  
      Raises:
          ValueError: If an invalid `device_policy` is passed.
      """
      if device_policy == "silent":
          context.context().device_policy = (
              context.DEVICE_PLACEMENT_SILENT
          )
      elif device_policy == "silent_for_int32":
          context.context().device_policy = (
              context.DEVICE_PLACEMENT_SILENT_FOR_INT32
          )
      elif device_policy == "warn":
          context.context().device_policy = (
              context.DEVICE_PLACEMENT_WARN
          )
      elif device_policy == "explicit":
          context.context().device_policy = (
              context.DEVICE_PLACEMENT_EXPLICIT
          )
      elif device_policy is None:
          context.context().device_policy = None
      else:
          raise ValueError(
              f"Invalid argument `device_policy`: {device_policy!r}. Please refer to "
              "https://www.tensorflow.org/api_docs/python/tf/config/experimental/set_device_policy "
              "for valid `device_policy` arguments."
          )
  
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 14 for calling a global function with example usage: set_device_policy(device_policy) without return types