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- # copytrue (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 os.path as osp
- def prune(best_model_path, dataset_path, sensitivities_path, batch_size):
- import paddlex as pdx
- model = pdx.load_model(best_model_path)
- eval_file_list = osp.join(dataset_path, 'val_list.txt')
- label_list = osp.join(dataset_path, 'labels.txt')
- eval_dataset = pdx.datasets.SegDataset(
- data_dir=dataset_path,
- file_list=eval_file_list,
- label_list=label_list,
- transforms=model.eval_transforms)
- pdx.slim.cal_params_sensitivities(model, sensitivities_path, eval_dataset,
- batch_size)
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