diff options
Diffstat (limited to 'tensorflow/python/ops/ctc_ops.py')
| -rw-r--r-- | tensorflow/python/ops/ctc_ops.py | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/tensorflow/python/ops/ctc_ops.py b/tensorflow/python/ops/ctc_ops.py index b0a1fc3dd1..ee5b2952f4 100644 --- a/tensorflow/python/ops/ctc_ops.py +++ b/tensorflow/python/ops/ctc_ops.py @@ -197,7 +197,7 @@ def ctc_greedy_decoder(inputs, sequence_length, merge_repeated=True): merge_repeated: Boolean. Default: True. Returns: - A tuple `(decoded, log_probabilities)` where + A tuple `(decoded, neg_sum_logits)` where decoded: A single-element list. `decoded[0]` is an `SparseTensor` containing the decoded outputs s.t.: `decoded.indices`: Indices matrix `(total_decoded_outputs x 2)`. @@ -206,8 +206,9 @@ def ctc_greedy_decoder(inputs, sequence_length, merge_repeated=True): The vector stores the decoded classes. `decoded.shape`: Shape vector, size `(2)`. The shape values are: `[batch_size, max_decoded_length]` - log_probability: A `float` matrix `(batch_size x 1)` containing sequence - log-probabilities. + neg_sum_logits: A `float` matrix `(batch_size x 1)` containing, for the + sequence found, the negative of the sum of the greatest logit at each + timeframe. """ outputs = gen_ctc_ops._ctc_greedy_decoder( inputs, sequence_length, merge_repeated=merge_repeated) |