diff --git a/tensorflow/python/ops/array_ops.py b/tensorflow/python/ops/array_ops.py
index 55b746f179d..4e2fbea5a02 100644
--- a/tensorflow/python/ops/array_ops.py
+++ b/tensorflow/python/ops/array_ops.py
@@ -4889,16 +4889,33 @@ def _with_nonzero_rank(data):
 
 @tf_export("repeat")
 def repeat(input, repeats, axis=None, name=None): # pylint: disable=redefined-builtin
-  """Repeat elements of an array
+  """Repeat elements of `input`
   Args:
-    input: A Tensor.
+    input: An `N`-dimensional Tensor.
     repeats: An 1-D `int` Tensor. The number of repetitions for each element.
-      repeats is broadcasted to fit the shape of the given axis
-    axis: An int. The axis along which to repeat values. By default, use the
-      flattened input array, and return a flat output array.
-    name: name of the op.
+      repeats is broadcasted to fit the shape of the given axis.
+      `len(repeats)` must equal `input.shape[axis]` if axis is not None.
+    axis: An int. The axis along which to repeat values. By default
+      (axis=None), use the flattened input array, and return a flat output
+      array.
+    name: A name for the operation.
   Returns:
-    A Tensor which has the same shape as a, except along the given axis.
+    A Tensor which has the same shape as `input`, except along the given axis.
+      If axis is None then the output array is flattened to match the flattened
+      input array.
+  #### Examples:
+    ```python
+    >>> repeat(['a', 'b', 'c'], repeats=[3, 0, 2], axis=0)
+    ['a', 'a', 'a', 'c', 'c']
+    >>> repeat([[1, 2], [3, 4]], repeats=[2, 3], axis=0)
+    [[1, 2], [1, 2], [3, 4], [3, 4], [3, 4]]
+    >>> repeat([[1, 2], [3, 4]], repeats=[2, 3], axis=1)
+    [[1, 1, 2, 2, 2], [3, 3, 4, 4, 4]]
+    >>> repeat(3, repeats=4)
+    [3, 3, 3, 3]
+    >>> repeat([[1,2], [3,4]], repeats=2)
+    [1, 1, 2, 2, 3, 3, 4, 4]
+    ```
   """
   if axis is None:
     input = reshape(input, [-1])
diff --git a/tensorflow/python/ops/ragged/ragged_util.py b/tensorflow/python/ops/ragged/ragged_util.py
index cef1a3f5155..0ae9f127d16 100644
--- a/tensorflow/python/ops/ragged/ragged_util.py
+++ b/tensorflow/python/ops/ragged/ragged_util.py
@@ -21,7 +21,6 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
-from tensorflow.python.framework import dtypes
 from tensorflow.python.ops import array_ops
 from tensorflow.python.ops import check_ops
 from tensorflow.python.ops import gen_ragged_math_ops