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- # Copyright 2020 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.
- # ============================================================================
- """export AIR file."""
- import argparse
- import numpy as np
-
- from mindspore import Tensor, context, load_checkpoint, load_param_into_net, export
-
- from src.nets import net_factory
-
- context.set_context(mode=context.GRAPH_MODE, save_graphs=False)
-
- if __name__ == '__main__':
- parser = argparse.ArgumentParser(description='checkpoint export')
- parser.add_argument('--checkpoint', type=str.lower, default='', help='checkpoint of deeplabv3 (Default: None)')
- parser.add_argument('--model', type=str.lower, default='deeplab_v3_s8', choices=['deeplab_v3_s16', 'deeplab_v3_s8'],
- help='Select model structure (Default: deeplab_v3_s8)')
- parser.add_argument('--num_classes', type=int, default=21, help='the number of classes (Default: 21)')
- args = parser.parse_args()
-
- if args.model == 'deeplab_v3_s16':
- network = net_factory.nets_map['deeplab_v3_s16']('eval', args.num_classes, 16, True)
- else:
- network = net_factory.nets_map['deeplab_v3_s8']('eval', args.num_classes, 8, True)
- param_dict = load_checkpoint(args.checkpoint)
-
- # load the parameter into net
- load_param_into_net(network, param_dict)
- input_data = np.random.uniform(0.0, 1.0, size=[32, 3, 513, 513]).astype(np.float32)
- export(network, Tensor(input_data), file_name=args.model+'-300_11.air', file_format='AIR')
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