code: def _relayout_gradient(op, grad):
      grad = gen_dtensor_ops.relayout_like(
          grad, layout_input=op.inputs[0]
      )
      return grad
  
imports: import contextlib
  import threading
  from typing import Any, Callable, Optional, Sequence
  from tensorflow.dtensor.python import dtensor_device
  from tensorflow.dtensor.python import gen_dtensor_ops
  from tensorflow.dtensor.python import layout
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 17 for calling a global function with example usage: _relayout_gradient(op, grad) and returns: grad