diff --git a/tensorflow/python/keras/preprocessing/image.py b/tensorflow/python/keras/preprocessing/image.py
index 3af573fa036..aa4801504cc 100644
--- a/tensorflow/python/keras/preprocessing/image.py
+++ b/tensorflow/python/keras/preprocessing/image.py
@@ -49,6 +49,7 @@ random_brightness = image.random_brightness
 apply_affine_transform = image.apply_affine_transform
 
 
+@keras_export('keras.preprocessing.image.smart_resize', v1=[])
 def smart_resize(x, size, interpolation='bilinear'):
   """Resize images to a target size without aspect ratio distortion.
 
@@ -65,7 +66,7 @@ def smart_resize(x, size, interpolation='bilinear'):
   ```
 
   However, if you do this, you distort the aspect ratio of your images, since
-  in general they do not all have the same aspect ratio. This is
+  in general they do not all have the same aspect ratio as `size`. This is
   fine in many cases, but not always (e.g. for GANs this can be a problem).
 
   Note that passing the argument `preserve_aspect_ratio=True` to `resize`
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.pbtxt
index 0b49aa9f3d4..e59c78cc496 100644
--- a/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.pbtxt
+++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.pbtxt
@@ -68,4 +68,8 @@ tf_module {
     name: "save_img"
     argspec: "args=[\'path\', \'x\', \'data_format\', \'file_format\', \'scale\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'True\'], "
   }
+  member_method {
+    name: "smart_resize"
+    argspec: "args=[\'x\', \'size\', \'interpolation\'], varargs=None, keywords=None, defaults=[\'bilinear\'], "
+  }
 }