diff --git a/tensorflow/g3doc/api_docs/python/contrib.distributions.md b/tensorflow/g3doc/api_docs/python/contrib.distributions.md
index 0011737c600..e9c7269aaba 100644
--- a/tensorflow/g3doc/api_docs/python/contrib.distributions.md
+++ b/tensorflow/g3doc/api_docs/python/contrib.distributions.md
@@ -20227,8 +20227,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 *  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
+*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 
 ##### Args:
 
@@ -20345,8 +20345,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 *  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
+*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 
 ##### Args:
 
@@ -20429,8 +20429,8 @@ Implements `(log o p o g^{-1})(y) + (log o det o J o g^{-1})(y)`,
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 *  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
+*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 
 ##### Args:
 
@@ -20468,8 +20468,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 *  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
+*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 
 ##### Args:
 
@@ -20621,8 +20621,8 @@ Implements `p(g^{-1}(y)) det|J(g^{-1}(y))|`, where `g^{-1}` is the
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 *  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
+*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 
 ##### Args:
 
@@ -20675,8 +20675,8 @@ Samples from the base distribution and then passes through
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 *  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
+*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 
 ##### Args:
 
@@ -20724,8 +20724,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 *  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
+*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 
 ##### Args:
 
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.distributions.TransformedDistribution.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.distributions.TransformedDistribution.md
index 2a5ff418470..9fd10d48ba3 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.distributions.TransformedDistribution.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.distributions.TransformedDistribution.md
@@ -185,8 +185,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 *  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
+*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 
 ##### Args:
 
@@ -303,8 +303,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 *  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
+*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 
 ##### Args:
 
@@ -387,8 +387,8 @@ Implements `(log o p o g^{-1})(y) + (log o det o J o g^{-1})(y)`,
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 *  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
+*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 
 ##### Args:
 
@@ -426,8 +426,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 *  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
+*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 
 ##### Args:
 
@@ -579,8 +579,8 @@ Implements `p(g^{-1}(y)) det|J(g^{-1}(y))|`, where `g^{-1}` is the
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 *  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
+*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 
 ##### Args:
 
@@ -633,8 +633,8 @@ Samples from the base distribution and then passes through
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 *  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
+*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 
 ##### Args:
 
@@ -682,8 +682,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 *  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
+*  <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
 
 ##### Args: