message: Added examples to tf.clip_by_value
diff: @@ -48,6 +48,17 @@ def clip_by_value(t, clip_value_min, clip_value_max,
  Note: `clip_value_min` needs to be smaller or equal to `clip_value_max` for
  correct results.
  + For example:
  +
  + ```python
  + A=tf.constant([[1,20,13],[3,21,13]])
  + B=tf.clip_by_value(A, clip_value_min=0, clip_value_max=3) #[[1, 3, 3],[3, 3, 3]]
  + C=tf.clip_by_value(A, clip_value_min=0., clip_value_max=3.)
  + # throws `TypeError` as input and clip_values are of different dtype
  + D=tf.constant([2.0,3.1,5.3])
  + E=tf.clip_by_value(D, clip_value_min=1., clip_value_max=3.) #[2.,3.,3.]
  + ```
  +
  Args:
  t: A `Tensor` or `IndexedSlices`.
  clip_value_min: A 0-D (scalar) `Tensor`, or a `Tensor` with the same shape
  