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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.
- # ============================================================================
- """
- ##############export checkpoint file into air, onnx, mindir models#################
- python export.py
- """
- import argparse
- import numpy as np
-
- from mindspore import dtype as mstype
- from mindspore import Tensor, load_checkpoint, load_param_into_net, export, context
-
- from src.models import Dense24
- from src.config import config
-
- parser = argparse.ArgumentParser(description='3dcnn_export')
- parser.add_argument('--device_id', type=int, default=0, help='Device id.')
- parser.add_argument("--batch_size", type=int, default=1, help="batch size")
- parser.add_argument('--ckpt_file', type=str, required=True, help='Checkpoint file path.')
- parser.add_argument('--file_name', type=str, default='dense24', help='Output file name.')
- parser.add_argument('--file_format', type=str, choices=["AIR", "ONNX", "MINDIR"], default='MINDIR', help='file format')
- parser.add_argument('--device_target', type=str, choices=['Ascend', 'CPU', 'GPU'], default='Ascend',
- help='Device target')
- args = parser.parse_args()
-
- context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target, save_graphs=False)
- if args.device_target == "Ascend":
- context.set_context(device_id=args.device_id)
-
- if __name__ == '__main__':
- network = Dense24(num_classes=config.num_classes)
-
- assert args.ckpt_file is not None, "args.ckpt_file is None."
- param_dict = load_checkpoint(args.ckpt_file)
- load_param_into_net(network, param_dict)
-
- flair_t2_node = Tensor(np.ones([args.batch_size, 2, config.height_size, config.width_size, config.channel_size]),
- mstype.float32)
- t1_t1ce_node = Tensor(np.ones([args.batch_size, 2, config.height_size, config.width_size, config.channel_size]),
- mstype.float32)
- inputs = [flair_t2_node, t1_t1ce_node]
- export(network, *inputs, file_name=args.file_name, file_format=args.file_format)
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