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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 | |