message: Updated some more examples
diff: @@ -4005,17 +4005,21 @@ def extract_glimpse(
  numbers of pixels.
  Usage Example:
  - ```python
  - BATCH_SIZE = 1
  - IMAGE_HEIGHT = 3
  - IMAGE_WIDTH = 3
  - CHANNELS = 1
  - GLIMPSE_SIZE = (2, 2)
  - image = tf.reshape(tf.range(9, delta=1, dtype=tf.float32),
  - shape=(BATCH_SIZE, IMAGE_HEIGHT, IMAGE_WIDTH, CHANNELS))
  - output = tf.image.extract_glimpse(image, size=GLIMPSE_SIZE,
  - offsets=[[1, 1]], centered=False, normalized=False)
  - ```
  + >>> x = [[[[0.0],
  + ... [1.0],
  + ... [2.0]],
  + ... [[3.0],
  + ... [4.0],
  + ... [5.0]],
  + ... [[6.0],
  + ... [7.0],
  + ... [8.0]]]]
  + >>> tf.image.extract_glimpse(x, size=(2, 2), offsets=[[1, 1]], centered=False, normalized=False)
  + array([[[[0.],
  + [1.]],
  +
  + [[3.],
  + [4.]]]], dtype=float32)>
  Args:
  input: A `Tensor` of type `float32`. A 4-D float tensor of shape
  @@ -4084,17 +4088,21 @@ def extract_glimpse_v2(
  numbers of pixels.
  Usage Example:
  - ```python
  - BATCH_SIZE = 1
  - IMAGE_HEIGHT = 3
  - IMAGE_WIDTH = 3
  - CHANNELS = 1
  - GLIMPSE_SIZE = (2, 2)
  - image = tf.reshape(tf.range(9, delta=1, dtype=tf.float32),
  - shape=(BATCH_SIZE, IMAGE_HEIGHT, IMAGE_WIDTH, CHANNELS))
  - output = tf.image.extract_glimpse(image, size=GLIMPSE_SIZE,
  - offsets=[[1, 1]], centered=False, normalized=False)
  - ```
  + >>> x = [[[[0.0],
  + ... [1.0],
  + ... [2.0]],
  + ... [[3.0],
  + ... [4.0],
  + ... [5.0]],
  + ... [[6.0],
  + ... [7.0],
  + ... [8.0]]]]
  + >>> tf.image.extract_glimpse(x, size=(2, 2), offsets=[[1, 1]], centered=False, normalized=False)
  + array([[[[0.],
  + [1.]],
  +
  + [[3.],
  + [4.]]]], dtype=float32)>
  Args:
  input: A `Tensor` of type `float32`. A 4-D float tensor of shape
  