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-rw-r--r--tensorflow/contrib/seq2seq/python/ops/loss.py3
1 files changed, 1 insertions, 2 deletions
diff --git a/tensorflow/contrib/seq2seq/python/ops/loss.py b/tensorflow/contrib/seq2seq/python/ops/loss.py
index e14f07bc09..61852eda4f 100644
--- a/tensorflow/contrib/seq2seq/python/ops/loss.py
+++ b/tensorflow/contrib/seq2seq/python/ops/loss.py
@@ -44,8 +44,7 @@ def sequence_loss(logits, targets, weights,
sequence. When using weights as masking set all valid timesteps to 1 and
all padded timesteps to 0.
average_across_timesteps: If set, sum the cost across the sequence
- dimension and divide by the cost by the total label weight across
- timesteps.
+ dimension and divide the cost by the total label weight across timesteps.
average_across_batch: If set, sum the cost across the batch dimension and
divide the returned cost by the batch size.
softmax_loss_function: Function (labels-batch, inputs-batch) -> loss-batch