message: Done with changes requested
diff: @@ -2786,17 +2786,18 @@ def add_n(inputs, name=None):
  """Adds all input tensors element-wise.
  Converts `IndexedSlices` objects into dense tensors prior to adding.
  - tf.math.add_n performs same operation as'tf.math.accumulate_n' but it waits
  + 'tf.math.add_n' performs same operation as 'tf.math.accumulate_n' but it waits
  for all of its inputs to be ready before beginning to sum, that consumes more
  - memory.
  + memory as inputs are not ready at different times, since minimum temporary storage
  + is proportional to the output size rather than the inputs size.
  For example:
  ```python
  a = tf.constant([[3, 5], [4, 8]])
  b = tf.constant([[1, 6], [2, 9]])
  tf.math.add_n([a, b, a]) # [[7, 16], [10, 25]]
  -
  ```
  +
  Args:
  inputs: A list of `Tensor` or `IndexedSlices` objects, each with same shape
  and type.
  