code: def _relayout_grad_gradient(op, grad):
      # Gradient of RelayoutGrad is relayout to the original Relayout's output.
      grad = gen_dtensor_ops.relayout_like(
          grad, layout_input=op.inputs[0]
      )
      # Return None for forward_input's partial gradient since it is not connected
      # to the target's gradient.
      return grad, None
  
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 18 for calling a global function with example usage: _relayout_grad_gradient(op, grad) and returns: grad,  None