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-rw-r--r--tensorflow/docs_src/guide/premade_estimators.md2
-rw-r--r--tensorflow/docs_src/performance/xla/operation_semantics.md4
2 files changed, 6 insertions, 0 deletions
diff --git a/tensorflow/docs_src/guide/premade_estimators.md b/tensorflow/docs_src/guide/premade_estimators.md
index a1703058c3..9b64d51b98 100644
--- a/tensorflow/docs_src/guide/premade_estimators.md
+++ b/tensorflow/docs_src/guide/premade_estimators.md
@@ -366,6 +366,8 @@ Running this code yields the following output (or something similar):
Test set accuracy: 0.967
```
+The `eval_result` dictionary also contains the `average_loss` (mean loss per sample), the `loss` (mean loss per mini-batch) and the value of the estimator's `global_step` (the number of training iterations it underwent).
+
### Making predictions (inferring) from the trained model
We now have a trained model that produces good evaluation results.
diff --git a/tensorflow/docs_src/performance/xla/operation_semantics.md b/tensorflow/docs_src/performance/xla/operation_semantics.md
index 2de30d1b3d..c23a7ad9e2 100644
--- a/tensorflow/docs_src/performance/xla/operation_semantics.md
+++ b/tensorflow/docs_src/performance/xla/operation_semantics.md
@@ -1036,6 +1036,10 @@ different ranks are *not* supported, unless one of the operands is a scalar.
When `Op` is `Rem`, the sign of the result is taken from the dividend, and the
absolute value of the result is always less than the divisor's absolute value.
+Integer division overflow (signed/unsigned division/remainder by zero or signed
+divison/remainder of `INT_SMIN` with `-1`) produces an implementation defined
+value.
+
An alternative variant with different-rank broadcasting support exists for these
operations: