message: Fixed formatting of ctc_loss_v2 docstring.
diff: @@ -615,15 +615,13 @@ def ctc_loss_v2(labels,
  pp. 369-376.](http://www.cs.toronto.edu/~graves/icml_2006.pdf)
  Notes:
  +
  - Same as the "Classic CTC" in TensorFlow 1.x's tf.compat.v1.nn.ctc_loss
  - setting of
  - preprocess_collapse_repeated=False, ctc_merge_repeated=True
  + setting of preprocess_collapse_repeated=False, ctc_merge_repeated=True
  - Labels may be supplied as either a dense, zero-padded tensor with a
  vector of label sequence lengths OR as a SparseTensor.
  - - On TPU and GPU:
  - - Only dense padded labels are supported.
  - - On CPU:
  - - Caller may use SparseTensor or dense padded labels but calling with
  + - On TPU and GPU: Only dense padded labels are supported.
  + - On CPU: Caller may use SparseTensor or dense padded labels but calling with
  a SparseTensor will be significantly faster.
  - Default blank label is 0 rather num_classes - 1, unless overridden by
  blank_index.
  