message: add lockFile argument to save_model()
diff: @@ -48,6 +48,7 @@ _KERAS_SAVED_MODEL_STILL_EXPERIMENTAL = True
  def save_model(model,
  filepath,
  overwrite=True,
  + lockFile=True,
  include_optimizer=True,
  save_format=None,
  signatures=None,
  @@ -95,6 +96,7 @@ def save_model(model,
  overwrite: Whether we should overwrite any existing model at the target
  location, or instead ask the user with a manual prompt.
  include_optimizer: If True, save optimizer's state together.
  + lockFile: If True, protect model file while saving model.
  save_format: Either 'tf' or 'h5', indicating whether to save the model
  to Tensorflow SavedModel or HDF5. Defaults to 'tf' in TF 2.X, and 'h5'
  in TF 1.X.
  @@ -128,7 +130,7 @@ def save_model(model,
  'to the Tensorflow SavedModel format (by setting save_format="tf") '
  'or using `save_weights`.')
  hdf5_format.save_model_to_hdf5(
  - model, filepath, overwrite, include_optimizer)
  + model, filepath, overwrite, lockFile, include_optimizer)
  else:
  saved_model_save.save(model, filepath, overwrite, include_optimizer,
  signatures, options)
  