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authorGravatar Justin Lebar <jlebar@google.com>2017-12-15 16:05:58 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-12-15 16:09:46 -0800
commitdeb50f80e5a87325adec5db826673e05acb4f5ab (patch)
tree8eda7aaa1ee9b2a4e850e43790b1f7936b826b64
parentf122ae338f958fa643ba05e3ff9660959bdde3a0 (diff)
[XLA] Update docs to indicate that BatchNormGrad returns {operand, scale, offset}, not {operand, offset, scale}.
PiperOrigin-RevId: 179251837
-rw-r--r--tensorflow/docs_src/performance/xla/operation_semantics.md5
1 files changed, 3 insertions, 2 deletions
diff --git a/tensorflow/docs_src/performance/xla/operation_semantics.md b/tensorflow/docs_src/performance/xla/operation_semantics.md
index d6f05f81bf..71e5db5d9f 100644
--- a/tensorflow/docs_src/performance/xla/operation_semantics.md
+++ b/tensorflow/docs_src/performance/xla/operation_semantics.md
@@ -62,10 +62,11 @@ The output type is a tuple of three handles:
|------------- | ----------------------- | ------------------------------------|
|`grad_operand`| `ComputationDataHandle` | gradient with respect to input |
: : : `operand` :
-|`grad_offset` | `ComputationDataHandle` | gradient with respect to input |
-: : : `offset` :
|`grad_scale` | `ComputationDataHandle` | gradient with respect to input |
: : : `scale` :
+|`grad_offset` | `ComputationDataHandle` | gradient with respect to input |
+: : : `offset` :
+
## BatchNormInference