message: Clarify that ResizeMethod.BILINEAR is actually tf.image.ResizeMethod.BILINEAR,
  etc.
diff: @@ -1269,26 +1269,27 @@ def resize_images(images,
  The `method` can be one of:
  - * <b>`ResizeMethod.BILINEAR`</b>: [Bilinear interpolation.](
  + * <b>`tf.image.ResizeMethod.BILINEAR`</b>: [Bilinear interpolation.](
  https://en.wikipedia.org/wiki/Bilinear_interpolation)
  - * <b>`ResizeMethod.NEAREST_NEIGHBOR`</b>: [Nearest neighbor interpolation.](
  + * <b>`tf.image.ResizeMethod.NEAREST_NEIGHBOR`</b>: [
  + Nearest neighbor interpolation.](
  https://en.wikipedia.org/wiki/Nearest-neighbor_interpolation)
  - * <b>`ResizeMethod.BICUBIC`</b>: [Bicubic interpolation.](
  + * <b>`tf.image.ResizeMethod.BICUBIC`</b>: [Bicubic interpolation.](
  https://en.wikipedia.org/wiki/Bicubic_interpolation)
  - * <b>`ResizeMethod.AREA`</b>: Area interpolation.
  + * <b>`tf.image.ResizeMethod.AREA`</b>: Area interpolation.
  The return value has the same type as `images` if `method` is
  - `ResizeMethod.NEAREST_NEIGHBOR`. It will also have the same type as `images`
  - if the size of `images` can be statically determined to be the same as `size`,
  - because `images` is returned in this case. Otherwise, the return value has
  - type `float32`.
  + `tf.image.ResizeMethod.NEAREST_NEIGHBOR`. It will also have the same type
  + as `images` if the size of `images` can be statically determined to be the
  + same as `size`, because `images` is returned in this case. Otherwise, the
  + return value has type `float32`.
  Args:
  images: 4-D Tensor of shape `[batch, height, width, channels]` or 3-D Tensor
  of shape `[height, width, channels]`.
  size: A 1-D int32 Tensor of 2 elements: `new_height, new_width`. The new
  size for the images.
  - method: ResizeMethod. Defaults to `ResizeMethod.BILINEAR`.
  + method: ResizeMethod. Defaults to `tf.image.ResizeMethod.BILINEAR`.
  align_corners: bool. If True, the centers of the 4 corner pixels of the
  input and output tensors are aligned, preserving the values at the corner
  pixels. Defaults to `False`.
  