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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.
- # ============================================================================
- import numpy as np
-
- import mindspore
- from mindspore import context, Tensor
- from mindspore.train.serialization import export, load_checkpoint, load_param_into_net
-
- from src.yolo import YOLOV5s_Infer
-
- from model_utils.config import config
- from model_utils.moxing_adapter import moxing_wrapper
-
- def modelarts_pre_process():
- '''modelarts pre process function.'''
- config.file_name = os.path.join(config.output_path, config.file_name)
-
-
- @moxing_wrapper(pre_process=modelarts_pre_process)
- def run_export():
- context.set_context(mode=context.GRAPH_MODE, device_target=config.device_target)
- if config.device_target == "Ascend":
- context.set_context(device_id=config.device_id)
- ts_shape = config.testing_shape // 2
-
- dict_version = {'yolov5s': 0, 'yolov5m': 1, 'yolov5l': 2, 'yolov5x': 3}
- config.file_name = config.file_name + '_' + config.yolov5_version
-
- network = YOLOV5s_Infer(config.testing_shape, version=dict_version[config.yolov5_version])
- network.set_train(False)
-
- param_dict = load_checkpoint(config.ckpt_file)
- load_param_into_net(network, param_dict)
-
- input_data = Tensor(np.zeros([config.batch_size, 12, ts_shape, ts_shape]), mindspore.float32)
-
- export(network, input_data, file_name=config.file_name, file_format=config.file_format)
- print('==========success export===============')
-
- if __name__ == "__main__":
- run_export()
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