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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.
- # ============================================================================
-
- import argparse
- import numpy as np
-
- from mindspore import context, Tensor
- from mindspore.train.serialization import export, load_checkpoint
-
- from src.mobilenet_v1 import mobilenet_v1 as mobilenet
-
- parser = argparse.ArgumentParser(description="mobilenetv1 export")
- parser.add_argument("--device_id", type=int, default=0, help="Device id")
- parser.add_argument("--ckpt_file", type=str, required=True, help="Checkpoint file path.")
- parser.add_argument("--dataset", type=str, default="imagenet2012", help="Dataset, either cifar10 or imagenet2012")
- parser.add_argument('--width', type=int, default=224, help='input width')
- parser.add_argument('--height', type=int, default=224, help='input height')
- parser.add_argument("--file_name", type=str, default="mobilenetv1", help="output file name.")
- parser.add_argument("--file_format", type=str, choices=["AIR", "ONNX", "MINDIR"], default="AIR", help="file format")
- parser.add_argument("--device_target", type=str, choices=["Ascend", "GPU", "CPU"], default="Ascend",
- help="device target")
- args = parser.parse_args()
-
- context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target)
-
- if args.dataset == "cifar10":
- from src.config import config1 as config
- else:
- from src.config import config2 as config
-
- if __name__ == "__main__":
- target = args.device_target
- if target != "GPU":
- context.set_context(device_id=args.device_id)
-
- network = mobilenet(class_num=config.class_num)
-
- param_dict = load_checkpoint(args.ckpt_file, net=network)
-
- network.set_train(False)
-
- input_data = Tensor(np.zeros([config.batch_size, 3, args.height, args.width]).astype(np.float32))
-
- export(network, input_data, file_name=args.file_name, file_format=args.file_format)
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