Update generated Python Op docs.

Change: 121333446

2 files changed, 51 insertions, 0 deletions

diff --git a/tensorflow/g3doc/api_docs/python/index.md b/tensorflow/g3doc/api_docs/python/index.md
index dcb79623c7..97726dc56a 100644
--- a/tensorflow/g3doc/api_docs/python/index.md
+++ b/tensorflow/g3doc/api_docs/python/index.md
@@ -376,6 +376,7 @@
   * [`shuffle_batch_join`](../../api_docs/python/io_ops.md#shuffle_batch_join)
   * [`size`](../../api_docs/python/io_ops.md#size)
   * [`slice_input_producer`](../../api_docs/python/io_ops.md#slice_input_producer)
+  * [`sparse_placeholder`](../../api_docs/python/io_ops.md#sparse_placeholder)
   * [`string_input_producer`](../../api_docs/python/io_ops.md#string_input_producer)
   * [`TextLineReader`](../../api_docs/python/io_ops.md#TextLineReader)
   * [`TFRecordReader`](../../api_docs/python/io_ops.md#TFRecordReader)
diff --git a/tensorflow/g3doc/api_docs/python/io_ops.md b/tensorflow/g3doc/api_docs/python/io_ops.md
index 5eab6fece8..8d84aa4eba 100644
--- a/tensorflow/g3doc/api_docs/python/io_ops.md
+++ b/tensorflow/g3doc/api_docs/python/io_ops.md
@@ -71,6 +71,56 @@ A placeholder op that passes though `input` when its output is not fed.
 
 
 
+For feeding `SparseTensor`s which are composite type,
+there is a convenience function:
+
+- - -
+
+### `tf.sparse_placeholder(dtype, shape=None, name=None)` {#sparse_placeholder}
+
+Inserts a placeholder for a sparse tensor that will be always fed.
+
+**Important**: This sparse tensor will produce an error if evaluated.
+Its value must be fed using the `feed_dict` optional argument to
+`Session.run()`, `Tensor.eval()`, or `Operation.run()`.
+
+For example:
+
+```python
+x = tf.sparse_placeholder(tf.float32)
+y = tf.sparse_reduce_sum(x)
+
+with tf.Session() as sess:
+  print(sess.run(y))  # ERROR: will fail because x was not fed.
+
+  indices = np.array([[3, 2, 0], [4, 5, 1]], dtype=np.int64)
+  values = np.array([1.0, 2.0], dtype=np.float32)
+  shape = np.array([7, 9, 2], dtype=np.int64)
+  print(sess.run(y, feed_dict={
+    x: tf.SparseTensorValue(indices, values, shape)}))  # Will succeed.
+  print(sess.run(y, feed_dict={
+    x: (indices, values, shape)}))  # Will succeed.
+
+  sp = tf.SparseTensor(indices=indices, values=values, shape=shape)
+  sp_value = sp.eval(session)
+  print(sess.run(y, feed_dict={x: sp_value}))  # Will succeed.
+```
+
+##### Args:
+
+
+*  <b>`dtype`</b>: The type of `values` elements in the tensor to be fed.
+*  <b>`shape`</b>: The shape of the tensor to be fed (optional). If the shape is not
+    specified, you can feed a sparse tensor of any shape.
+*  <b>`name`</b>: A name for prefixing the operations (optional).
+
+##### Returns:
+
+  A `SparseTensor` that may be used as a handle for feeding a value, but not
+  evaluated directly.
+
+
+
 ## Readers
 
 TensorFlow provides a set of Reader classes for reading data formats.