Update generated Python Op docs.

Change: 137739075

Author: tensorflower-gardener

tensorflow/g3doc/api_docs/python/contrib.distributions.md

@@ -20986,8 +20986,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <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.
+*  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
 
 ##### Args:
 
@@ -21127,8 +21127,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <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.
+*  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
 
 ##### Args:
 
@@ -21211,8 +21211,8 @@ Implements `(log o p o g^{-1})(y) + (log o det o J o g^{-1})(y)`,
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <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.
+*  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
 
 ##### Args:
 
@@ -21250,8 +21250,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <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.
+*  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
 
 ##### Args:
 
@@ -21403,8 +21403,8 @@ Implements `p(g^{-1}(y)) det|J(g^{-1}(y))|`, where `g^{-1}` is the
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <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.
+*  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
 
 ##### Args:
 
@@ -21457,8 +21457,8 @@ Samples from the base distribution and then passes through
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <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.
+*  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
 
 ##### Args:
 
@@ -21506,8 +21506,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <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.
+*  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
 
 ##### Args:
 

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>`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.
+*  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
 
 ##### Args:
 
@@ -326,8 +326,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <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.
+*  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
 
 ##### Args:
 
@@ -410,8 +410,8 @@ Implements `(log o p o g^{-1})(y) + (log o det o J o g^{-1})(y)`,
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <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.
+*  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
 
 ##### Args:
 
@@ -449,8 +449,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <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.
+*  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
 
 ##### Args:
 
@@ -602,8 +602,8 @@ Implements `p(g^{-1}(y)) det|J(g^{-1}(y))|`, where `g^{-1}` is the
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <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.
+*  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
 
 ##### Args:
 
@@ -656,8 +656,8 @@ Samples from the base distribution and then passes through
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <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.
+*  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
 
 ##### Args:
 
@@ -705,8 +705,8 @@ Additional documentation from `TransformedDistribution`:
 
 ##### <b>`condition_kwargs`</b>:
 
-*  <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.
+*  <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
 
 ##### Args: