Update api defs

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

tensorflow/core/api_def/base_api/api_def_DrawBoundingBoxesV2.pbtxt

@@ -0,0 +1,43 @@
+op {
+  graph_op_name: "DrawBoundingBoxesV2"
+  in_arg {
+    name: "images"
+    description: <<END
+4-D with shape `[batch, height, width, depth]`. A batch of images.
+END
+  }
+  in_arg {
+    name: "boxes"
+    description: <<END
+3-D with shape `[batch, num_bounding_boxes, 4]` containing bounding
+boxes.
+END
+  }
+  in_arg {
+    name: "colors"
+    description: <<END
+2-D. A list of RGBA colors to cycle through for the boxes.
+END
+  }
+  out_arg {
+    name: "output"
+    description: <<END
+4-D with the same shape as `images`. The batch of input images with
+bounding boxes drawn on the images.
+END
+  }
+  summary: "Draw bounding boxes on a batch of images."
+  description: <<END
+Outputs a copy of `images` but draws on top of the pixels zero or more bounding
+boxes specified by the locations in `boxes`. The coordinates of the each
+bounding box in `boxes` are encoded as `[y_min, x_min, y_max, x_max]`. The
+bounding box coordinates are floats in `[0.0, 1.0]` relative to the width and
+height of the underlying image.
+
+For example, if an image is 100 x 200 pixels (height x width) and the bounding
+box is `[0.1, 0.2, 0.5, 0.9]`, the upper-left and bottom-right coordinates of
+the bounding box will be `(40, 10)` to `(100, 50)` (in (x,y) coordinates).
+
+Parts of the bounding box may fall outside the image.
+END
+}

tensorflow/core/ops/image_ops.cc

@@ -603,29 +603,7 @@ REGISTER_OP("DrawBoundingBoxesV2")
     .Attr("T: {float, half} = DT_FLOAT")
     .SetShapeFn([](InferenceContext* c) {
       return shape_inference::UnchangedShapeWithRankAtLeast(c, 3);
-    })
+    });
-    .Doc(R"doc(
-Draw bounding boxes on a batch of images.
-
-Outputs a copy of `images` but draws on top of the pixels zero or more bounding
-boxes specified by the locations in `boxes`. The coordinates of the each
-bounding box in `boxes` are encoded as `[y_min, x_min, y_max, x_max]`. The
-bounding box coordinates are floats in `[0.0, 1.0]` relative to the width and
-height of the underlying image.
-
-For example, if an image is 100 x 200 pixels (height x width) and the bounding
-box is `[0.1, 0.2, 0.5, 0.9]`, the upper-left and bottom-right coordinates of
-the bounding box will be `(40, 10)` to `(100, 50)` (in (x,y) coordinates).
-
-Parts of the bounding box may fall outside the image.
-
-images: 4-D with shape `[batch, height, width, depth]`. A batch of images.
-boxes: 3-D with shape `[batch, num_bounding_boxes, 4]` containing bounding
-  boxes.
-colors: 2-D. A list of RGBA colors to cycle through for the boxes.
-output: 4-D with the same shape as `images`. The batch of input images with
-  bounding boxes drawn on the images.
-)doc");
 
 // --------------------------------------------------------------------------
 REGISTER_OP("SampleDistortedBoundingBox")