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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2017-02-27 12:48:57 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-02-27 13:13:53 -0800
commite45decb6f5bb9c965653175223827c0c962d41f7 (patch)
treef21d7c1b824f8ba60905f8c2e8ea5c3242332550
parent89df8c789fc580e895106fccee0a2784181fa5ff (diff)
Go: Update generated wrapper functions for TensorFlow ops.
Change: 148682151
-rw-r--r--tensorflow/go/op/wrappers.go2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/go/op/wrappers.go b/tensorflow/go/op/wrappers.go
index ebe4242cc1..7cc11b6e19 100644
--- a/tensorflow/go/op/wrappers.go
+++ b/tensorflow/go/op/wrappers.go
@@ -8247,7 +8247,7 @@ func SparseAddGrad(scope *Scope, backprop_val_grad tf.Output, a_indices tf.Outpu
// A strong hash is important when inputs may be malicious, e.g. URLs with
// additional components. Adversaries could try to make their inputs hash to the
// same bucket for a denial-of-service attack or to skew the results. A strong
-// hash prevents this by making it dificult, if not infeasible, to compute inputs
+// hash prevents this by making it difficult, if not infeasible, to compute inputs
// that hash to the same bucket. This comes at a cost of roughly 4x higher compute
// time than `tf.string_to_hash_bucket_fast`.
//