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- # Copyright 2021 Huawei Technologies Co., Ltd
- #
- # 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.
- # ============================================================================
- """
- #################lstm postprocess########################
- """
- import argparse
- import os
- import numpy as np
- from mindspore.nn import Accuracy
- from src.config import lstm_cfg, lstm_cfg_ascend
-
- parser = argparse.ArgumentParser(description='LSTM Postprocess')
- parser.add_argument('--label_dir', type=str, default='', help='label data directory.')
- parser.add_argument('--result_dir', type=str, default="./result_Files",
- help='infer result dir.')
- parser.add_argument('--device_target', type=str, default="Ascend", choices=['GPU', 'CPU', 'Ascend'],
- help='the target device to run, support "GPU", "CPU". Default: "Ascend".')
- args, _ = parser.parse_known_args()
-
- if __name__ == '__main__':
- metrics = Accuracy()
- rst_path = args.result_dir
- labels = np.load(args.label_dir)
-
- if args.device_target == 'Ascend':
- cfg = lstm_cfg_ascend
- else:
- cfg = lstm_cfg
-
- for i in range(len(os.listdir(rst_path))):
- file_name = os.path.join(rst_path, "LSTM_data_bs" + str(cfg.batch_size) + '_' + str(i) + '_0.bin')
- output = np.fromfile(file_name, np.float32).reshape(cfg.batch_size, cfg.num_classes)
- metrics.update(output, labels[i])
-
- print("result of Accuracy is: ", metrics.eval())
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