model_to_saved_model: Export to Saved Model format

In dfalbel/keras: R Interface to 'Keras'

Description

Export to Saved Model format

Usage

model_to_saved_model(
  model,
  saved_model_path,
  custom_objects = NULL,
  as_text = FALSE,
  input_signature = NULL,
  serving_only = FALSE
)

Arguments

model	A Keras model to be saved. If the model is subclassed, the flag serving_only must be set to TRUE.
saved_model_path	a string specifying the path to the SavedModel directory.
custom_objects	Optional dictionary mapping string names to custom classes or functions (e.g. custom loss functions).
as_text	bool, FALSE by default. Whether to write the SavedModel proto in text format. Currently unavailable in serving-only mode.
input_signature	A possibly nested sequence of tf.TensorSpec objects, used to specify the expected model inputs. See tf.function for more details.
serving_only	bool, FALSE by default. When this is true, only the prediction graph is saved.

Value

Invisibly returns the saved_model_path.

Note

This functionality is experimental and only works with TensorFlow version >= "2.0".

See Also

Other saved_model: model_from_saved_model()

dfalbel/keras documentation built on Nov. 27, 2019, 8:16 p.m.