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| # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve. | |
| # | |
| # 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 os | |
| import paddle | |
| __all__ = ['load_dygraph_pretrain'] | |
| def load_dygraph_pretrain(model, logger, path=None, load_static_weights=False): | |
| if not os.path.exists(path + '.pdparams'): | |
| raise ValueError("Model pretrain path {} does not " | |
| "exists.".format(path)) | |
| param_state_dict = paddle.load(path + '.pdparams') | |
| model.set_state_dict(param_state_dict) | |
| logger.info("load pretrained model from {}".format(path)) | |
| return | |