Update generated Python Op docs.

Change: 143799796

1 files changed, 7 insertions, 4 deletions

diff --git a/tensorflow/g3doc/api_docs/python/io_ops.md b/tensorflow/g3doc/api_docs/python/io_ops.md
index a182b608cf..6e645ecd8d 100644
--- a/tensorflow/g3doc/api_docs/python/io_ops.md
+++ b/tensorflow/g3doc/api_docs/python/io_ops.md
@@ -1472,9 +1472,11 @@ Fields:
     be `dtype` and its length must always match that of the `index_key`
     feature.
   dtype: Data type of the `value_key` feature.
-  size: Each value in the `index_key` feature must be in `[0, size)`.
-  already_sorted: A boolean to specify whether the values in `index_key` are
-    already sorted. If so skip sorting, False by default (optional).
+  size: A Python int to specify a dimension of the dense shape. Each value in
+    the `index_key` feature must be in `[0, size)`.
+  already_sorted: A Python boolean to specify whether the values in
+    `index_key` are already sorted. If so skip sorting.
+    False by default (optional).
 - - -
 
 #### `tf.SparseFeature.__getnewargs__()` {#SparseFeature.__getnewargs__}
@@ -1702,7 +1704,8 @@ And arguments
 ```
 example_names: ["input0", "input1"],
 features: {
-    "sparse": SparseFeature("ix", "val", tf.float32, 100),
+    "sparse": SparseFeature(
+        index_key="ix", value_key="val", dtype=tf.float32, size=100),
 }
 ```