# ******************************************************************************
# Copyright 2017-2019 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ******************************************************************************
import logging
from abc import ABC
logger = logging.getLogger(__name__)
[docs]class TrainableModel(ABC):
"""Base class for a trainable model"""
[docs] def convert_to_tensors(self, *args, **kwargs):
"""convert any chosen input to valid model format of tensors"""
raise NotImplementedError
[docs] def get_logits(self, *args, **kwargs):
"""get model logits from given input"""
raise NotImplementedError
[docs] def train(self, *args, **kwargs):
"""train the model"""
raise NotImplementedError
[docs] def inference(self, *args, **kwargs):
"""run inference"""
raise NotImplementedError
[docs] def save_model(self, *args, **kwargs):
"""save the model"""
...
[docs] def load_model(self, *args, **kwargs):
"""load a model"""
...