LostTech.TensorFlow : API Documentation

Type saving

Namespace tensorflow.python.keras.saving

Methods

Properties

Public static methods

IList<object> load_attributes_from_hdf5_group(string group, string name)

IList<object> load_attributes_from_hdf5_group(PythonClassContainer group, string name)

object load_attributes_from_hdf5_group_dyn(object group, object name)

object load_model_from_hdf5(object filepath, object custom_objects, bool compile)

object load_model_from_hdf5_dyn(object filepath, object custom_objects, ImplicitContainer<T> compile)

void load_weights_from_hdf5_group(PythonClassContainer f, object layers)

void load_weights_from_hdf5_group(string f, object layers)

void load_weights_from_hdf5_group_by_name(PythonClassContainer f, IEnumerable<Layer> layers)

void load_weights_from_hdf5_group_by_name(string f, IEnumerable<Layer> layers)

object load_weights_from_hdf5_group_by_name_dyn(object f, object layers)

object load_weights_from_hdf5_group_dyn(object f, object layers)

IList<object> preprocess_weights_for_loading(Layer layer, IEnumerable<object> weights, string original_keras_version, object original_backend)

IList<object> preprocess_weights_for_loading(Model layer, IEnumerable<object> weights, string original_keras_version, object original_backend)

object preprocess_weights_for_loading_dyn(object layer, object weights, object original_keras_version, object original_backend)

void save_attributes_to_hdf5_group(string group, string name, IEnumerable<object> data)

void save_attributes_to_hdf5_group(PythonClassContainer group, string name, IEnumerable<object> data)

void save_attributes_to_hdf5_group(object group, string name, IEnumerable<object> data)

object save_attributes_to_hdf5_group_dyn(object group, object name, object data)

void save_model_to_hdf5(Checkpoint model, Byte[] filepath, bool overwrite, bool include_optimizer)

void save_model_to_hdf5(AutoTrackable model, string filepath, bool overwrite, bool include_optimizer)

void save_model_to_hdf5(AutoTrackable model, IGraphNodeBase filepath, bool overwrite, bool include_optimizer)

void save_model_to_hdf5(AutoTrackable model, Byte[] filepath, bool overwrite, bool include_optimizer)

void save_model_to_hdf5(Checkpoint model, string filepath, bool overwrite, bool include_optimizer)

void save_model_to_hdf5(Checkpoint model, IGraphNodeBase filepath, bool overwrite, bool include_optimizer)

object save_model_to_hdf5_dyn(object model, object filepath, ImplicitContainer<T> overwrite, ImplicitContainer<T> include_optimizer)

void save_weights_to_hdf5_group(string f, IEnumerable<Layer> layers)

void save_weights_to_hdf5_group(PythonClassContainer f, IEnumerable<Layer> layers)

object save_weights_to_hdf5_group_dyn(object f, object layers)

object trace_model_call(Layer model, IEnumerable<object> input_signature)

object trace_model_call(Layer model, TensorSpec input_signature)

object trace_model_call(Model model, IEnumerable<object> input_signature)

object trace_model_call(Model model, TensorSpec input_signature)

object trace_model_call_dyn(object model, object input_signature)

Public properties

PythonFunctionContainer load_attributes_from_hdf5_group_fn get;

PythonFunctionContainer load_model_from_hdf5_fn get;

PythonFunctionContainer load_weights_from_hdf5_group_by_name_fn get;

PythonFunctionContainer load_weights_from_hdf5_group_fn get;

PythonFunctionContainer preprocess_weights_for_loading_fn get;

PythonFunctionContainer save_attributes_to_hdf5_group_fn get;

PythonFunctionContainer save_model_to_hdf5_fn get;

PythonFunctionContainer save_weights_to_hdf5_group_fn get;

PythonFunctionContainer trace_model_call_fn get;