message: Copy reverse_sequence docstring to _v2 to remove deprecation notices
diff: @@ -4535,6 +4535,46 @@ def reverse_sequence_v2(input,
  seq_axis=None,
  batch_axis=None,
  name=None):
  + """Reverses variable length slices.
  +
  + This op first slices `input` along the dimension `batch_axis`, and for
  + each slice `i`, reverses the first `seq_lengths[i]` elements along the
  + dimension `seq_axis`.
  +
  + The elements of `seq_lengths` must obey `seq_lengths[i] <=
  + input.dims[seq_axis]`, and `seq_lengths` must be a vector of length
  + `input.dims[batch_axis]`.
  +
  + The output slice `i` along dimension `batch_axis` is then given by
  + input slice `i`, with the first `seq_lengths[i]` slices along
  + dimension `seq_axis` reversed.
  +
  + Example usage:
  +
  + >>> seq_lengths = [7, 2, 3, 5]
  + >>> input = [[1, 2, 3, 4, 5, 0, 0, 0], [1, 2, 0, 0, 0, 0, 0, 0],
  + ... [1, 2, 3, 4, 0, 0, 0, 0], [1, 2, 3, 4, 5, 6, 7, 8]]
  + >>> output = tf.reverse_sequence(input, seq_lengths, seq_axis=1, batch_axis=0)
  + >>> output
  + <tf.Tensor: shape=(4, 8), dtype=int32, numpy=
  + array([[0, 0, 5, 4, 3, 2, 1, 0],
  + [2, 1, 0, 0, 0, 0, 0, 0],
  + [3, 2, 1, 4, 0, 0, 0, 0],
  + [5, 4, 3, 2, 1, 6, 7, 8]], dtype=int32)>
  +
  + Args:
  + input: A `Tensor`. The input to reverse.
  + seq_lengths: A `Tensor`. Must be one of the following types: `int32`,
  + `int64`. 1-D with length `input.dims(batch_axis)` and `max(seq_lengths) <=
  + input.dims(seq_axis)`
  + seq_axis: An `int`. The dimension which is partially reversed.
  + batch_axis: An optional `int`. Defaults to `0`. The dimension along which
  + reversal is performed.
  + name: A name for the operation (optional).
  +
  + Returns:
  + A Tensor. Has the same type as input.
  + """
  return gen_array_ops.reverse_sequence(
  input=input,
  seq_lengths=seq_lengths,
  @@ -4542,7 +4582,6 @@ def reverse_sequence_v2(input,
  batch_dim=batch_axis,
  name=name)
  -reverse_sequence_v2.__doc__ = reverse_sequence.__doc__
  # pylint: enable=redefined-builtin
  