message: Updated documentation for tf.reduce_join.
diff: @@ -38,7 +38,9 @@ END
  Computes the string join across dimensions in the given string Tensor of shape
  `[d_0, d_1, ..., d_n-1]`. Returns a new Tensor created by joining the input
  strings with the given separator (default: empty string). Negative indices are
  -counted backwards from the end, with `-1` being equivalent to `n - 1`.
  +counted backwards from the end, with `-1` being equivalent to `n - 1`. If
  +indices are not specified, joins across all dimensions beginning from `n - 1`
  +through `0`.
  For example:
  @@ -51,9 +53,10 @@ tf.reduce_join(a, -1) = tf.reduce_join(a, 1) ==> ["ab", "cd"]
  tf.reduce_join(a, 0, keep_dims=True) ==> [["ac", "bd"]]
  tf.reduce_join(a, 1, keep_dims=True) ==> [["ab"], ["cd"]]
  tf.reduce_join(a, 0, separator=".") ==> ["a.c", "b.d"]
  -tf.reduce_join(a, [0, 1]) ==> ["acbd"]
  -tf.reduce_join(a, [1, 0]) ==> ["abcd"]
  -tf.reduce_join(a, []) ==> ["abcd"]
  +tf.reduce_join(a, [0, 1]) ==> "acbd"
  +tf.reduce_join(a, [1, 0]) ==> "abcd"
  +tf.reduce_join(a, []) ==> [["a", "b"], ["c", "d"]]
  +tf.reduce_join(a) = tf.reduce_join(a, [1, 0]) ==> "abcd"
  ```
  END
  }
  