Código fuente para qiskit_machine_learning.algorithms.serializable_model

# This code is part of a Qiskit project.
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# (C) Copyright IBM 2021, 2023.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
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"""A mixin class for saving and loading models."""

from typing import Any

import dill


[documentos]class SerializableModelMixin: """ Provides convenient methods for saving and loading models. """
[documentos] def save(self, file_name: str) -> None: """ Saves this model to the specified file. Internally, the model is serialized via ``dill``. All parameters are saved, including a primitive instance that is referenced by internal objects. That means if a model is loaded from a file and is used, for instance, for inference, the same primitive will be used even if a cloud primitive was used. Args: file_name: a file name or path where to save the model. """ with open(file_name, "wb") as handler: dill.dump(self, handler)
[documentos] @classmethod def load(cls, file_name: str) -> Any: """ Loads a model from the file. If the loaded model is not an instance of the class whose method was called, then a warning is raised. Nevertheless, the loaded model may be a valid model. Args: file_name: a file name or path to load a model from. Returns: A loaded model. Raises: TypeError: if a loaded model is not an instance of the expected class. """ with open(file_name, "rb") as handler: model = dill.load(handler) if not isinstance(model, cls): raise TypeError(f"Loaded model is of class {type(model)}. Expected class: {cls}.") return model