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| """Callback that loads model weights from the state dict.""" | |
| # Copyright (C) 2020 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 | |
| import torch | |
| from pytorch_lightning import Callback | |
| from anomalib.models.components import AnomalyModule | |
| logger = logging.getLogger(__name__) | |
| class LoadModelCallback(Callback): | |
| """Callback that loads the model weights from the state dict.""" | |
| def __init__(self, weights_path): | |
| self.weights_path = weights_path | |
| def on_test_start(self, trainer, pl_module: AnomalyModule) -> None: # pylint: disable=W0613 | |
| """Call when the test begins. | |
| Loads the model weights from ``weights_path`` into the PyTorch module. | |
| """ | |
| logger.info("Loading the model from %s", self.weights_path) | |
| pl_module.load_state_dict(torch.load(self.weights_path)["state_dict"]) | |