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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.iresnet import iresnet100
-
- parser = argparse.ArgumentParser(description='Classification')
- parser.add_argument("--device_id", type=int, default=0, help="Device id")
- parser.add_argument("--batch_size", type=int, default=64, help="batch size")
- parser.add_argument("--ckpt_file", type=str, required=True, help="Checkpoint file path.")
- parser.add_argument("--file_name", type=str, default="arcface", 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", "GPU", "CPU"], default="Ascend",
- help="device target")
- parser.add_argument('--dataset_name', type=str, default='MS1MV2', choices=['MS1MV2'],
- help='dataset name.')
- args = parser.parse_args()
-
- context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target)
- if args.device_target == "Ascend":
- context.set_context(device_id=args.device_id)
-
- if __name__ == '__main__':
- if args.dataset_name != 'MS1MV2':
- raise ValueError("dataset is not supported.")
-
- net = iresnet100()
-
- assert args.ckpt_file is not None, "args.ckpt_file is None."
- param_dict = load_checkpoint(args.ckpt_file)
- load_param_into_net(net, param_dict)
-
- input_arr = Tensor(np.ones([args.batch_size, 3, 112, 112]), mstype.float32)
- export(net, input_arr, file_name=args.file_name, file_format=args.file_format)
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