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- # Copyright 2020-2021 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 MINDIR ONNX models"""
- import argparse
- import ast
- import numpy as np
-
- import mindspore as ms
- from mindspore import context, Tensor, load_checkpoint, load_param_into_net, export
-
- from src.config import config_gpu as cfg
- from src.shufflenetv2 import ShuffleNetV2
-
- if __name__ == '__main__':
- parser = argparse.ArgumentParser(description='checkpoint 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('--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="shufflenetv2", 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, default="GPU",
- choices=["Ascend", "GPU", "CPU"],
- help="device where the code will be implemented (default: GPU)")
- parser.add_argument('--overwrite_config', type=ast.literal_eval, default=False,
- help='whether to overwrite the config according to the arguments')
- parser.add_argument('--num_classes', type=int, default=1000, help='number of classes')
-
- args = parser.parse_args()
- if args.overwrite_config:
- cfg.num_classes = args.num_classes
-
- context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target)
- if args.device_target == "Ascend" or args.device_target == "GPU":
- context.set_context(device_id=args.device_id)
-
- net = ShuffleNetV2(n_class=cfg.num_classes)
- ckpt = load_checkpoint(args.ckpt_file)
- load_param_into_net(net, ckpt)
- net.set_train(False)
-
- input_data = Tensor(np.ones([args.batch_size, 3, args.height, args.width]), ms.float32)
- export(net, input_data, file_name=args.file_name, file_format=args.file_format)
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