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author | Ankur Taly <ataly@google.com> | 2018-02-16 18:22:55 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-02-16 18:27:19 -0800 |
commit | 0e6f39d1bd7fe8daa86944f6ab0dd94fbeb4962a (patch) | |
tree | ee0dabaff4147ecc9bc92acd2a50dadbfd694f39 /tensorflow/contrib/seq2seq | |
parent | 128572c316e6f2eb6346f920314ef98e88e75069 (diff) |
Merge changes from github.
PiperOrigin-RevId: 186073337
Diffstat (limited to 'tensorflow/contrib/seq2seq')
-rw-r--r-- | tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py b/tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py index d6b5eceb47..0a53fd66db 100644 --- a/tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py +++ b/tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py @@ -331,7 +331,7 @@ def _luong_score(query, keys, scale): # batched matmul on: # [batch_size, 1, depth] . [batch_size, depth, max_time] # resulting in an output shape of: - # [batch_time, 1, max_time]. + # [batch_size, 1, max_time]. # we then squeeze out the center singleton dimension. score = math_ops.matmul(query, keys, transpose_b=True) score = array_ops.squeeze(score, [1]) |