keras: model_to_saved_model – R documentation

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model_to_saved_model

Export to Saved Model format

Export to Saved Model format

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

`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.

Invisibly returns the saved_model_path.

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