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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
- #
- # less 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 Tensor, export, load_checkpoint, load_param_into_net
-
- from src.unet.unet_model import UNet
-
- parser = argparse.ArgumentParser(description='Export ckpt to air')
- parser.add_argument('--ckpt_file', type=str, default="ckpt_unet_medical_adam-1_600.ckpt",
- help='The path of input ckpt file')
- parser.add_argument('--air_file', type=str, default="unet_medical_adam-1_600", help='The path of output air file')
- args = parser.parse_args()
-
- net = UNet(n_channels=1, n_classes=2)
- # return a parameter dict for model
- param_dict = load_checkpoint(args.ckpt_file)
- # load the parameter into net
- load_param_into_net(net, param_dict)
- input_data = np.random.uniform(0.0, 1.0, size=[1, 1, 572, 572]).astype(np.float32)
- export(net, Tensor(input_data), file_name=args.air_file, file_format='AIR')
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