TensorFlow: merge changes from internal

Base CL: 110018194

tensorflow/g3doc/api_docs/python/index.md

@@ -237,6 +237,7 @@
   * [`sparse_fill_empty_rows`](../../api_docs/python/sparse_ops.md#sparse_fill_empty_rows)
   * [`sparse_reorder`](../../api_docs/python/sparse_ops.md#sparse_reorder)
   * [`sparse_retain`](../../api_docs/python/sparse_ops.md#sparse_retain)
+  * [`sparse_split`](../../api_docs/python/sparse_ops.md#sparse_split)
   * [`sparse_tensor_to_dense`](../../api_docs/python/sparse_ops.md#sparse_tensor_to_dense)
   * [`sparse_to_dense`](../../api_docs/python/sparse_ops.md#sparse_to_dense)
   * [`sparse_to_indicator`](../../api_docs/python/sparse_ops.md#sparse_to_indicator)

tensorflow/g3doc/api_docs/python/sparse_ops.md

@@ -401,6 +401,49 @@ then the output will be a `SparseTensor` of shape `[4, 5]` and
 *  <b>`TypeError`</b>: If `sp_input` is not a `SparseTensor`.
 
 
+- - -
+
+### `tf.sparse_split(split_dim, num_split, sp_input, name=None)` {#sparse_split}
+
+Split a `SparseTensor` into `num_split` tensors along `split_dim`.
+
+If the `sp_input.shape[split_dim]` is not an integer multiple of `num_split`
+each slice starting from 0:`shape[split_dim] % num_split` gets extra one
+dimension. For example, if `split_dim = 1` and `num_split = 2` and the
+input is:
+
+    input_tensor = shape = [2, 7]
+    [    a   d e  ]
+    [b c          ]
+
+Graphically the output tensors are:
+
+    output_tensor[0] =
+    [    a ]
+    [b c   ]
+
+    output_tensor[1] =
+    [ d e  ]
+    [      ]
+
+##### Args:
+
+
+*  <b>`split_dim`</b>: A 0-D `int32` `Tensor`. The dimension along which to split.
+*  <b>`num_split`</b>: A Python integer. The number of ways to split.
+*  <b>`sp_input`</b>: The `SparseTensor` to split.
+*  <b>`name`</b>: A name for the operation (optional).
+
+##### Returns:
+
+  `num_split` `SparseTensor` objects resulting from splitting `value`.
+
+##### Raises:
+
+
+*  <b>`TypeError`</b>: If `sp_input` is not a `SparseTensor`.
+
+
 - - -
 
 ### `tf.sparse_retain(sp_input, to_retain)` {#sparse_retain}

tensorflow/g3doc/api_docs/python/train.md

@@ -1749,7 +1749,7 @@ global_step_tensor = tf.Variable(10, trainable=False, name='global_step')
 sess = tf.Session()
 # Initializes the variable.
 sess.run(global_step_tensor.initializer)
-print('global_step:', tf.train.global_step(sess, global_step_tensor))
+print('global_step: %s' % tf.train.global_step(sess, global_step_tensor))
 
 global_step: 10
 ```