Update generated Python Op docs.

Change: 132492196

5 files changed, 20 insertions, 10 deletions

diff --git a/tensorflow/g3doc/api_docs/python/array_ops.md b/tensorflow/g3doc/api_docs/python/array_ops.md
index cf0166aafb..c3139a1973 100644
--- a/tensorflow/g3doc/api_docs/python/array_ops.md
+++ b/tensorflow/g3doc/api_docs/python/array_ops.md
@@ -208,7 +208,7 @@ of a tensor and change the shape of a tensor.
 
 - - -
 
-### `tf.shape(input, name=None)` {#shape}
+### `tf.shape(input, name=None, out_type=tf.int32)` {#shape}
 
 Returns the shape of a tensor.
 
@@ -226,15 +226,17 @@ shape(t) ==> [2, 2, 3]
 
 *  <b>`input`</b>: A `Tensor` or `SparseTensor`.
 *  <b>`name`</b>: A name for the operation (optional).
+*  <b>`out_type`</b>: (Optional) The specified output type of the operation
+    (`int32` or `int64`). Defaults to tf.int32.
 
 ##### Returns:
 
-  A `Tensor` of type `int32`.
+  A `Tensor` of type `out_type`.
 
 
 - - -
 
-### `tf.size(input, name=None)` {#size}
+### `tf.size(input, name=None, out_type=tf.int32)` {#size}
 
 Returns the size of a tensor.
 
@@ -253,10 +255,12 @@ size(t) ==> 12
 
 *  <b>`input`</b>: A `Tensor` or `SparseTensor`.
 *  <b>`name`</b>: A name for the operation (optional).
+*  <b>`out_type`</b>: (Optional) The specified output type of the operation
+    (`int32` or `int64`). Defaults to tf.int32.
 
 ##### Returns:
 
-  A `Tensor` of type `int32`.
+  A `Tensor` of type `out_type`. Defaults to tf.int32.
 
 
 - - -
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.shape.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.shape.md
index 4cbbcf4ab1..450ce8ae0d 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.shape.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.shape.md
@@ -1,4 +1,4 @@
-### `tf.shape(input, name=None)` {#shape}
+### `tf.shape(input, name=None, out_type=tf.int32)` {#shape}
 
 Returns the shape of a tensor.
 
@@ -16,8 +16,10 @@ shape(t) ==> [2, 2, 3]
 
 *  <b>`input`</b>: A `Tensor` or `SparseTensor`.
 *  <b>`name`</b>: A name for the operation (optional).
+*  <b>`out_type`</b>: (Optional) The specified output type of the operation
+    (`int32` or `int64`). Defaults to tf.int32.
 
 ##### Returns:
 
-  A `Tensor` of type `int32`.
+  A `Tensor` of type `out_type`.
 
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.nn.softmax_cross_entropy_with_logits.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.nn.softmax_cross_entropy_with_logits.md
index f6ee36f193..6c93f735eb 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.nn.softmax_cross_entropy_with_logits.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.nn.softmax_cross_entropy_with_logits.md
@@ -1,4 +1,4 @@
-### `tf.nn.softmax_cross_entropy_with_logits(logits, labels, name=None)` {#softmax_cross_entropy_with_logits}
+### `tf.nn.softmax_cross_entropy_with_logits(logits, labels, dim=-1, name=None)` {#softmax_cross_entropy_with_logits}
 
 Computes softmax cross entropy between `logits` and `labels`.
 
@@ -27,6 +27,7 @@ and the same dtype (either `float16`, `float32`, or `float64`).
 
 *  <b>`logits`</b>: Unscaled log probabilities.
 *  <b>`labels`</b>: Each row `labels[i]` must be a valid probability distribution.
+*  <b>`dim`</b>: The class dimension. Defaulted to -1 which is the last dimension.
 *  <b>`name`</b>: A name for the operation (optional).
 
 ##### Returns:
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.size.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.size.md
index 43745d75cd..3df6d4cb2f 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.size.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.size.md
@@ -1,4 +1,4 @@
-### `tf.size(input, name=None)` {#size}
+### `tf.size(input, name=None, out_type=tf.int32)` {#size}
 
 Returns the size of a tensor.
 
@@ -17,8 +17,10 @@ size(t) ==> 12
 
 *  <b>`input`</b>: A `Tensor` or `SparseTensor`.
 *  <b>`name`</b>: A name for the operation (optional).
+*  <b>`out_type`</b>: (Optional) The specified output type of the operation
+    (`int32` or `int64`). Defaults to tf.int32.
 
 ##### Returns:
 
-  A `Tensor` of type `int32`.
+  A `Tensor` of type `out_type`. Defaults to tf.int32.
 
diff --git a/tensorflow/g3doc/api_docs/python/nn.md b/tensorflow/g3doc/api_docs/python/nn.md
index 22fb0fdabb..d1f9521e3a 100644
--- a/tensorflow/g3doc/api_docs/python/nn.md
+++ b/tensorflow/g3doc/api_docs/python/nn.md
@@ -1471,7 +1471,7 @@ For each batch `i` and class `j` we have
 
 - - -
 
-### `tf.nn.softmax_cross_entropy_with_logits(logits, labels, name=None)` {#softmax_cross_entropy_with_logits}
+### `tf.nn.softmax_cross_entropy_with_logits(logits, labels, dim=-1, name=None)` {#softmax_cross_entropy_with_logits}
 
 Computes softmax cross entropy between `logits` and `labels`.
 
@@ -1500,6 +1500,7 @@ and the same dtype (either `float16`, `float32`, or `float64`).
 
 *  <b>`logits`</b>: Unscaled log probabilities.
 *  <b>`labels`</b>: Each row `labels[i]` must be a valid probability distribution.
+*  <b>`dim`</b>: The class dimension. Defaulted to -1 which is the last dimension.
 *  <b>`name`</b>: A name for the operation (optional).
 
 ##### Returns: