#copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
#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 argparse
import os
# 选择使用0号卡
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
import paddlex as pdx


def params_analysis(model_dir, dataset, batch_size, save_file):
    # 加载模型
    model = pdx.load_model(model_dir)

    # 定义验证所用的数据集
    eval_dataset = pdx.datasets.VOCDetection(
        data_dir=dataset,
        file_list=os.path.join(dataset, 'val_list.txt'),
        label_list=os.path.join(dataset, 'labels.txt'),
        transforms=model.eval_transforms)

    pdx.slim.prune.analysis(
        model,
        dataset=eval_dataset,
        batch_size=batch_size,
        save_file=save_file)


if __name__ == '__main__':
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument(
        "--model_dir",
        default="./output/yolov3_mobilenetv3/best_model",
        type=str,
        help="The model path.")
    parser.add_argument(
        "--dataset",
        default="./aluminum_inspection",
        type=str,
        help="The model path.")
    parser.add_argument("--batch_size", default=8, type=int, help="Batch size")
    parser.add_argument(
        "--save_file",
        default="./sensitivities.data",
        type=str,
        help="The sensitivities file path.")

    args = parser.parse_args()
    params_analysis(args.model_dir, args.dataset, args.batch_size,
                    args.save_file)