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- # Copyright 2022 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
- import mindspore.common.dtype as ms
- from mindspore import Tensor, load_checkpoint, load_param_into_net, export, context
-
- from src.fcos import FCOSDetector
-
- def parse_args():
- parser = argparse.ArgumentParser(description="Export Mindir or Air")
- parser.add_argument('--device_id', default=1,
- type=int, help='Location of training outputs.')
- parser.add_argument("--ckpt_path", default="nas_fcos.ckpt",
- help="Checkpoint file path.")
- parser.add_argument("--file_name", type=str, default="nas_fcos", help="output file name.")
- parser.add_argument('--file_format', type=str, choices=["MINDIR", "AIR"], default='MINDIR', help='file format')
- parser.add_argument("--device_target", type=str, choices=["Ascend", "GPU", "CPU"],
- default="Ascend", help="device target")
- args = parser.parse_args()
- return args
-
- if __name__ == '__main__':
- args = parse_args()
- context.set_context(mode=context.PYNATIVE_MODE, device_target=args.device_target, device_id=args.device_id)
- net = FCOSDetector(mode="inference")
- net.set_train(False)
- print(args.ckpt_path)
- param_dict = load_checkpoint(args.ckpt_path)
- load_param_into_net(net, param_dict)
- input_arr = Tensor(np.ones([1, 3, 1344, 1344]), ms.float32)
- export(net, input_arr, file_name=args.file_name, file_format=args.file_format)
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