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| author |  ImSheridan <xiaoyudong0512@gmail.com> | 2018-04-06 01:29:32 +0800 |
|---|---|---|
| committer |  Rasmus Munk Larsen <rmlarsen@google.com> | 2018-04-05 10:29:32 -0700 |
| commit | de61d322391a824c9dd97b5b4913b45f8a12539d (patch) | |
| tree | 37603c534963cb74545d0243f3f28bebc12677e6 /tensorflow/contrib/seq2seq | |
| parent | 14241b17aae754e2a64c8a350caf63e6572fe9cd (diff) | |
Fix some rendering format in contrib doc strings (#18148)
* Fix some rendering format in contrib doc strings
* Fix line too long pylint error
Diffstat (limited to 'tensorflow/contrib/seq2seq')
| -rw-r--r-- | tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py b/tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py index 9e0d69593f..f0f143ddfc 100644 --- a/tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py +++ b/tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py @@ -610,8 +610,8 @@ def monotonic_attention(p_choose_i, previous_attention, mode): addition, once an input sequence element is attended to at a given output timestep, elements occurring before it cannot be attended to at subsequent output timesteps. This function generates attention distributions according - to these assumptions. For more information, see ``Online and Linear-Time - Attention by Enforcing Monotonic Alignments''. + to these assumptions. For more information, see `Online and Linear-Time + Attention by Enforcing Monotonic Alignments`. Args: p_choose_i: Probability of choosing input sequence/memory element i. Should |