message: Add tested example in the docstring
diff: @@ -293,6 +293,26 @@ def ctc_greedy_decoder(inputs,
  blank_index=None):
  """Performs greedy decoding on the logits given in input (best path).
  + Given a tensor as `logits`, the blank_index parameter defines the class
  + index of the blank symbol.
  +
  + For example:
  +
  + If blank_index is equal to 1:
  +
  + >>> inf = float("inf")
  + >>> logits = tf.constant([[[ 0., -inf, -inf],
  + ... [ -2.3, -inf, -0.1]],
  + ... [[ -inf, -0.5, -inf],
  + ... [ -inf, -inf, -0.1]],
  + ... [[ -inf, -inf, -inf],
  + ... [ -0.1, -inf, -2.3]]])
  + >>> seq_lens = tf.constant([2, 3])
  + >>> outputs = tf.nn.ctc_greedy_decoder(
  + ... logits,
  + ... seq_lens,
  + ... blank_index=1)
  +
  Notes:
  - Regardless of the value of merge_repeated, if an index of a
  