Source code for nlp_architect.nn.tensorflow.python.keras.utils.layer_utils

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# Copyright 2017-2018 Intel Corporation
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# Licensed under the Apache License, Version 2.0 (the "License");
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import pickle
import tempfile

from tensorflow import keras


[docs]def save_model(model: keras.models.Model, topology: dict, filepath: str) -> None: """ Save a model to a file (tf.keras models only) The method save the model topology, as given as a Args: model: model object topology (dict): a dictionary of topology elements and their values filepath (str): path to save model """ with tempfile.NamedTemporaryFile(suffix='.h5', delete=True) as fd: model.save_weights(fd.name) model_weights = fd.read() data = {'model_weights': model_weights, 'model_topology': topology} with open(filepath, 'wb') as fp: pickle.dump(data, fp)
[docs]def load_model(filepath, model) -> None: """ Load a model (tf.keras) from disk, create topology from loaded values and load weights. Args: filepath (str): path to model model: model object to load """ with open(filepath, 'rb') as fp: model_data = pickle.load(fp) topology = model_data['model_topology'] model.build(**topology) with tempfile.NamedTemporaryFile(suffix='.h5', delete=True) as fd: fd.write(model_data['model_weights']) fd.flush() model.model.load_weights(fd.name)