code: def copy_sharding(from_tensor, to_tensor, use_sharding_op=False):
      """Copies the a tensor's sharding to another.
  
      Args:
        from_tensor: Source tensor. Must be the sole output of an op.
        to_tensor: the tensor the annotate with the copy.
        use_sharding_op: whether to create a sharding op on `to_tensor`.
  
      Returns:
        A tensor with sharding annotation copied from `from_tensor`.
      """
      sharding = get_tensor_sharding(from_tensor)
      if sharding is None:
          return to_tensor
  
      if use_sharding_op:
          to_tensor = tf2xla.sharding(to_tensor, sharding=sharding)
      attr_value = attr_value_pb2.AttrValue(s=sharding)
      # pylint: disable=protected-access
      to_tensor.op._set_attr("_XlaSharding", attr_value)
      return to_tensor
  
imports: import numpy
  from tensorflow.compiler.tf2xla.python import xla
  from local_xla.xla import xla_data_pb2
  from tensorflow.core.framework import attr_value_pb2
label_desc: Use image node_id 1 for calling a global function with example usage: copy_sharding(from_tensor, to_tensor, use_sharding_op) and returns: to_tensor, to_tensor