Update generated Python Op docs.

Change: 144739269

5 files changed, 32 insertions, 32 deletions

diff --git a/tensorflow/g3doc/api_docs/python/contrib.metrics.md b/tensorflow/g3doc/api_docs/python/contrib.metrics.md
index 4d6cf8625c..1537865fc6 100644
--- a/tensorflow/g3doc/api_docs/python/contrib.metrics.md
+++ b/tensorflow/g3doc/api_docs/python/contrib.metrics.md
@@ -1469,10 +1469,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values.
 ##### Args:
 
 
-*  <b>`predictions`</b>: The predicted values, a `bool` `Tensor` of arbitrary
-    dimensions.
-*  <b>`labels`</b>: The ground truth values, a `bool` `Tensor` whose dimensions must
-    match `predictions`.
+*  <b>`predictions`</b>: The predicted values, a `Tensor` of arbitrary dimensions. Will
+    be cast to `bool`.
+*  <b>`labels`</b>: The ground truth values, a `Tensor` whose dimensions must match
+    `predictions`. Will be cast to `bool`.
 *  <b>`weights`</b>: Optional `Tensor` whose rank is either 0, or the same rank as
     `labels`, and must be broadcastable to `labels` (i.e., all dimensions
     must be either `1`, or the same as the corresponding `labels`
@@ -1515,10 +1515,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values.
 ##### Args:
 
 
-*  <b>`predictions`</b>: The predicted values, a `bool` `Tensor` of arbitrary
-    dimensions.
-*  <b>`labels`</b>: The ground truth values, a `bool` `Tensor` whose dimensions must
-    match `predictions`.
+*  <b>`predictions`</b>: The predicted values, a `Tensor` of arbitrary dimensions. Will
+    be cast to `bool`.
+*  <b>`labels`</b>: The ground truth values, a `Tensor` whose dimensions must match
+    `predictions`. Will be cast to `bool`.
 *  <b>`weights`</b>: Optional `Tensor` whose rank is either 0, or the same rank as
     `labels`, and must be broadcastable to `labels` (i.e., all dimensions
     must be either `1`, or the same as the corresponding `labels`
@@ -1562,10 +1562,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values.
 ##### Args:
 
 
-*  <b>`predictions`</b>: The predicted values, a `bool` `Tensor` of arbitrary
-    dimensions.
-*  <b>`labels`</b>: The ground truth values, a `bool` `Tensor` whose dimensions must
-    match `predictions`.
+*  <b>`predictions`</b>: The predicted values, a `Tensor` of arbitrary dimensions. Will
+    be cast to `bool`.
+*  <b>`labels`</b>: The ground truth values, a `Tensor` whose dimensions must match
+    `predictions`. Will be cast to `bool`.
 *  <b>`weights`</b>: Optional `Tensor` whose rank is either 0, or the same rank as
     `labels`, and must be broadcastable to `labels` (i.e., all dimensions
     must be either `1`, or the same as the corresponding `labels`
@@ -1609,10 +1609,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values.
 ##### Args:
 
 
-*  <b>`predictions`</b>: The predicted values, a `bool` `Tensor` of arbitrary
-    dimensions.
-*  <b>`labels`</b>: The ground truth values, a `bool` `Tensor` whose dimensions must
-    match `predictions`.
+*  <b>`predictions`</b>: The predicted values, a `Tensor` of arbitrary dimensions. Will
+    be cast to `bool`.
+*  <b>`labels`</b>: The ground truth values, a `Tensor` whose dimensions must match
+    `predictions`. Will be cast to `bool`.
 *  <b>`weights`</b>: Optional `Tensor` whose rank is either 0, or the same rank as
     `labels`, and must be broadcastable to `labels` (i.e., all dimensions
     must be either `1`, or the same as the corresponding `labels`
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.metrics.streaming_true_positives.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.metrics.streaming_true_positives.md
index aa3019dbf4..a022639c94 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.metrics.streaming_true_positives.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.metrics.streaming_true_positives.md
@@ -7,10 +7,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values.
 ##### Args:
 
 
-*  <b>`predictions`</b>: The predicted values, a `bool` `Tensor` of arbitrary
-    dimensions.
-*  <b>`labels`</b>: The ground truth values, a `bool` `Tensor` whose dimensions must
-    match `predictions`.
+*  <b>`predictions`</b>: The predicted values, a `Tensor` of arbitrary dimensions. Will
+    be cast to `bool`.
+*  <b>`labels`</b>: The ground truth values, a `Tensor` whose dimensions must match
+    `predictions`. Will be cast to `bool`.
 *  <b>`weights`</b>: Optional `Tensor` whose rank is either 0, or the same rank as
     `labels`, and must be broadcastable to `labels` (i.e., all dimensions
     must be either `1`, or the same as the corresponding `labels`
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.metrics.streaming_false_positives.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.metrics.streaming_false_positives.md
index c31a7c68dc..d3f748fec7 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.metrics.streaming_false_positives.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.metrics.streaming_false_positives.md
@@ -7,10 +7,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values.
 ##### Args:
 
 
-*  <b>`predictions`</b>: The predicted values, a `bool` `Tensor` of arbitrary
-    dimensions.
-*  <b>`labels`</b>: The ground truth values, a `bool` `Tensor` whose dimensions must
-    match `predictions`.
+*  <b>`predictions`</b>: The predicted values, a `Tensor` of arbitrary dimensions. Will
+    be cast to `bool`.
+*  <b>`labels`</b>: The ground truth values, a `Tensor` whose dimensions must match
+    `predictions`. Will be cast to `bool`.
 *  <b>`weights`</b>: Optional `Tensor` whose rank is either 0, or the same rank as
     `labels`, and must be broadcastable to `labels` (i.e., all dimensions
     must be either `1`, or the same as the corresponding `labels`
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.metrics.streaming_true_negatives.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.metrics.streaming_true_negatives.md
index d8f12ab9eb..5b9dfd33f4 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.metrics.streaming_true_negatives.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.metrics.streaming_true_negatives.md
@@ -7,10 +7,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values.
 ##### Args:
 
 
-*  <b>`predictions`</b>: The predicted values, a `bool` `Tensor` of arbitrary
-    dimensions.
-*  <b>`labels`</b>: The ground truth values, a `bool` `Tensor` whose dimensions must
-    match `predictions`.
+*  <b>`predictions`</b>: The predicted values, a `Tensor` of arbitrary dimensions. Will
+    be cast to `bool`.
+*  <b>`labels`</b>: The ground truth values, a `Tensor` whose dimensions must match
+    `predictions`. Will be cast to `bool`.
 *  <b>`weights`</b>: Optional `Tensor` whose rank is either 0, or the same rank as
     `labels`, and must be broadcastable to `labels` (i.e., all dimensions
     must be either `1`, or the same as the corresponding `labels`
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.metrics.streaming_false_negatives.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.metrics.streaming_false_negatives.md
index 878ba46941..1464305257 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.metrics.streaming_false_negatives.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.metrics.streaming_false_negatives.md
@@ -7,10 +7,10 @@ If `weights` is `None`, weights default to 1. Use weights of 0 to mask values.
 ##### Args:
 
 
-*  <b>`predictions`</b>: The predicted values, a `bool` `Tensor` of arbitrary
-    dimensions.
-*  <b>`labels`</b>: The ground truth values, a `bool` `Tensor` whose dimensions must
-    match `predictions`.
+*  <b>`predictions`</b>: The predicted values, a `Tensor` of arbitrary dimensions. Will
+    be cast to `bool`.
+*  <b>`labels`</b>: The ground truth values, a `Tensor` whose dimensions must match
+    `predictions`. Will be cast to `bool`.
 *  <b>`weights`</b>: Optional `Tensor` whose rank is either 0, or the same rank as
     `labels`, and must be broadcastable to `labels` (i.e., all dimensions
     must be either `1`, or the same as the corresponding `labels`