code: def reverse(tensor: ragged_tensor.Ragged, axis, name=None):
      """Reverses a RaggedTensor along the specified axes.
  
      #### Example:
  
      >>> data = tf.ragged.constant([
      ...   [[1, 2], [3, 4]], [[5, 6]], [[7, 8], [9, 10], [11, 12]]])
      >>> tf.reverse(data, axis=[0, 2])
      <tf.RaggedTensor [[[8, 7], [10, 9], [12, 11]], [[6, 5]], [[2, 1], [4, 3]]]>
  
      Args:
        tensor: A 'RaggedTensor' to reverse.
        axis: A list or tuple of 'int' or a constant 1D 'tf.Tensor'. The indices of
          the axes to reverse.
        name: A name prefix for the returned tensor (optional).
  
      Returns:
        A 'RaggedTensor'.
      """
      type_error_msg = (
          "`axis` must be a list of int or a constant tensor"
          "when reversing axes in a ragged tensor"
      )
  
      with ops.name_scope(name, "Reverse", [tensor, axis]):
          if isinstance(axis, tensor_lib.Tensor):
              axis = tensor_util.constant_value(axis)
              if axis is None:
                  raise TypeError(type_error_msg)
          elif not (
              isinstance(axis, (list, tuple))
              and all(isinstance(dim, int) for dim in axis)
          ):
              raise TypeError(type_error_msg)
  
          tensor = ragged_tensor.convert_to_tensor_or_ragged_tensor(
              tensor, name="tensor"
          )
  
          # Allow usage of negative values to specify innermost axes.
          axis = [
              array_ops.get_positive_axis(
                  dim, tensor.shape.rank, "axis[%d]" % i, "rank(tensor)"
              )
              for i, dim in enumerate(axis)
          ]
  
          # We only need to slice up to the max axis. If the axis list
          # is empty, it should be 0.
          slices = [slice(None)] * (max(axis) + 1 if axis else 0)
  
          for dim in axis:
              slices[dim] = slice(None, None, -1)
  
          return tensor[tuple(slices)]
  
imports: from typing import Optional
  from typing import Union
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import gen_ragged_array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sort_ops
  from tensorflow.python.ops.ragged import dynamic_ragged_shape
  from tensorflow.python.ops.ragged import ragged_functional_ops
  from tensorflow.python.ops.ragged import ragged_math_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged import ragged_util
  from tensorflow.python.ops.ragged import segment_id_ops
  from tensorflow.python.types import core
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 12 for calling a global function with example usage: reverse(tensor, axis, name) and returns: tensor