Update generated Python Op docs.

Change: 141220667
trangtv57 · Dec 7, 2016 · 93062d9 · 93062d9
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diff --git a/tensorflow/g3doc/api_docs/python/contrib.legacy_seq2seq.md b/tensorflow/g3doc/api_docs/python/contrib.legacy_seq2seq.md
@@ -529,7 +529,7 @@ Weighted cross-entropy loss for a sequence of logits (per example).
 *  <b>`weights`</b>: List of 1D batch-sized float-Tensors of the same length as logits.
 *  <b>`average_across_timesteps`</b>: If set, divide the returned cost by the total
     label weight.
-*  <b>`softmax_loss_function`</b>: Function (inputs-batch, labels-batch) -> loss-batch
+*  <b>`softmax_loss_function`</b>: Function (labels-batch, inputs-batch) -> loss-batch
     to be used instead of the standard softmax (the default if this is None).
 *  <b>`name`</b>: Optional name for this operation, default: "sequence_loss_by_example".
 

diff --git a/...ctions_and_classes/shard5/tf.contrib.legacy_seq2seq.sequence_loss_by_example.md b/...ctions_and_classes/shard5/tf.contrib.legacy_seq2seq.sequence_loss_by_example.md
@@ -10,7 +10,7 @@ Weighted cross-entropy loss for a sequence of logits (per example).
 *  <b>`weights`</b>: List of 1D batch-sized float-Tensors of the same length as logits.
 *  <b>`average_across_timesteps`</b>: If set, divide the returned cost by the total
     label weight.
-*  <b>`softmax_loss_function`</b>: Function (inputs-batch, labels-batch) -> loss-batch
+*  <b>`softmax_loss_function`</b>: Function (labels-batch, inputs-batch) -> loss-batch
     to be used instead of the standard softmax (the default if this is None).
 *  <b>`name`</b>: Optional name for this operation, default: "sequence_loss_by_example".