message: Update docstring for model.predict, to advertise users to model call if performance is a concern when input is small. Detailed info see
diff: @@ -834,7 +834,12 @@ class Model(network.Network, version_utils.VersionSelector):
  use_multiprocessing=False):
  """Generates output predictions for the input samples.
  - Computation is done in batches.
  + Computation is done in batches. This method is designed for performance in
  + large scale inputs. For small amount of inputs that fit in one batch,
  + directly using `__call__` is recommended for faster execution, e.g.,
  + `model(x)`, or `model(x, training=False)` if you have layers such as
  + `tf.keras.layers.BatchNormalization` that behaves differently during
  + inference.
  Arguments:
  x: Input samples. It could be:
  