message: changing example output format
diff: @@ -545,8 +545,8 @@ def subtract(x, y, name=None):
  >>> x = tf.constant([1.0, -1.0, 5.0, -2.0, 0.0])
  >>> y = tf.constant([5.0, 1.0, 3.7, -19.9, float("inf")])
  >>> tf.subtract(x,y)
  - <tf.Tensor: shape=(5,), dtype=float32, numpy=
  - array([-4. , -2. , 1.3, 17.9, -inf], dtype=float32)>
  + <tf.Tensor: shape=(5,), dtype=float32,
  + numpy= array([-4. , -2. , 1.3, 17.9, -inf], dtype=float32)>
  Args:
  x: A `Tensor`. Must be one of the following types: `bfloat16`, `half`,
  @@ -4972,8 +4972,8 @@ def add(x, y, name=None):
  >>> x = tf.constant([1.0, -1.0, 5.0, -2.0, 0.0])
  >>> y = tf.constant([5.0, 1.0, 3.7, -19.9, float("inf")])
  >>> tf.add(x,y)
  - <tf.Tensor: shape=(5,), dtype=float32, numpy=
  - array([ 6. , 0. , 8.7, -21.9, inf], dtype=float32)>
  + <tf.Tensor: shape=(5,), dtype=float32,
  + numpy= array([ 6. , 0. , 8.7, -21.9, inf], dtype=float32)>
  Args:
  x: A `Tensor`. Must be one of the following types:
  @@ -5004,8 +5004,8 @@ def acos(x, name=None):
  >>> x = tf.constant([1.0, -0.5, 3.4, 0.2, 0.0, -2], dtype = tf.float32)
  >>> tf.math.acos(x)
  - <tf.Tensor: shape=(6,), dtype=float32, numpy=
  - array([0. , 2.0943952, nan, 1.3694383, 1.5707964, nan],
  + <tf.Tensor: shape=(6,), dtype=float32,
  + numpy= array([0. , 2.0943952, nan, 1.3694383, 1.5707964, nan],
  dtype=float32)>
  Args:
  @@ -5032,8 +5032,8 @@ def floor(x, name=None):
  >>> x = tf.constant([1.3324, -1.5, 5.555, -2.532, 0.99, float("inf")])
  >>> tf.floor(x)
  - <tf.Tensor: shape=(6,), dtype=float32, numpy=
  - array([ 1., -2., 5., -3., 0., inf], dtype=float32)>
  + <tf.Tensor: shape=(6,), dtype=float32,
  + numpy= array([ 1., -2., 5., -3., 0., inf], dtype=float32)>
  Args:
  x: A `Tensor`. Must be one of the following types:
  