message: Deprecate tf.distribute.Strategy.experimental_make_numpy_dataset
  Use tf.data.Dataset.from_tensor_slices instead.
diff: @@ -689,8 +689,10 @@ class StrategyBase(object):
  return self.extended._make_input_fn_iterator( # pylint: disable=protected-access
  input_fn, replication_mode=replication_mode)
  + @deprecation.deprecated(
  + "2020-09-30", "Please use tf.data.Dataset.from_tensor_slices instead")
  def experimental_make_numpy_dataset(self, numpy_input):
  - """Makes a `tf.data.Dataset` for input provided via a numpy array.
  + """Makes a `tf.data.Dataset` from a numpy array.
  This avoids adding `numpy_input` as a large constant in the graph,
  and copies the data to the machine or machines that will be processing
  @@ -700,15 +702,18 @@ class StrategyBase(object):
  with the returned dataset to further distribute it with the strategy.
  Example:
  - ```
  - numpy_input = np.ones([10], dtype=np.float32)
  - dataset = strategy.experimental_make_numpy_dataset(numpy_input)
  - dist_dataset = strategy.experimental_distribute_dataset(dataset)
  - ```
  +
  + >>> strategy = tf.distribute.MirroredStrategy()
  + >>> numpy_input = np.ones([10], dtype=np.float32)
  + >>> dataset = strategy.experimental_make_numpy_dataset(numpy_input)
  + >>> dataset
  + <TensorSliceDataset shapes: (), types: tf.float32>
  + >>> dataset = dataset.batch(2)
  + >>> dist_dataset = strategy.experimental_distribute_dataset(dataset)
  Args:
  - numpy_input: A nest of NumPy input arrays that will be converted into a
  - dataset. Note that lists of Numpy arrays are stacked, as that is normal
  + numpy_input: a nest of NumPy input arrays that will be converted into a
  + dataset. Note that the NumPy arrays are stacked, as that is normal
  `tf.data.Dataset` behavior.
  Returns:
  