message: Added couple of examples for tf.zeros_like
diff: @@ -2255,7 +2255,15 @@ def zeros_like_v2(
  ```python
  tensor = tf.constant([[1, 2, 3], [4, 5, 6]])
  - tf.zeros_like(tensor) # [[0, 0, 0], [0, 0, 0]]
  + tf.zeros_like(tensor) # [[0, 0, 0], [0, 0, 0]] with dtype=int32
  +
  + If dtype of input `tensor` is `float32`, then the output is also of `float32`
  + tensor = tf.constant([[1.0, 2.0, 3.0], [4, 5, 6]])
  + tf.zeros_like(tensor) # [[0., 0., 0.], [0., 0., 0.]] with dtype=floa32
  +
  + If you want to specify desired dtype of output `tensor`, then specify it in the op
  + tensor = tf.constant([[1.0, 2.0, 3.0], [4, 5, 6]])
  + tf.zeros_like(tensor,dtype=tf.int32) # [[0, 0, 0], [0, 0, 0]] with dtype=int32
  ```
  Args:
  