Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Updated with code formatting for endpoints. #27578

Merged
merged 1 commit into from Apr 8, 2019
Merged

Updated with code formatting for endpoints. #27578

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
4 changes: 2 additions & 2 deletions tensorflow/python/ops/ctc_ops.py
View file
Open in desktop
Expand Up @@ -881,9 +881,9 @@ def dense_labels_to_sparse(dense, length):

@tf_export("nn.ctc_unique_labels")
def ctc_unique_labels(labels, name=None):
"""Get unique labels and indices for batched labels for tf.nn.ctc_loss.
"""Get unique labels and indices for batched labels for `tf.nn.ctc_loss`.

For use with tf.nn.ctc_loss_v2 optional argument `unique`: This op can be
For use with `tf.nn.ctc_loss_v2` optional argument `unique`: This op can be
used to preprocess labels in input pipeline to for better speed/memory use
computing the ctc loss on TPU.

Expand Down