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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"""
- import argparse
-
- import numpy as np
- from mindspore import Tensor, dtype
- from mindspore.train.serialization import load_checkpoint, load_param_into_net, export, context
-
- from src.config import config_gpu, config_ascend
- from src.inception_resnet_v2 import Inception_resnet_v2
-
- parser = argparse.ArgumentParser(description='inception_resnet_v2 export')
- parser.add_argument("--device_id", type=int, default=0, help="Device id")
- parser.add_argument('--ckpt_file', type=str, required=True, help='inception_resnet_v2 ckpt file.')
- parser.add_argument('--file_name', type=str, default='inception_resnet_v2', help='inception_resnet_v2 output air name.')
- parser.add_argument('--file_format', type=str, choices=["AIR", "ONNX", "MINDIR"], default='AIR', help='file format')
- parser.add_argument('--width', type=int, default=299, help='input width')
- parser.add_argument('--height', type=int, default=299, help='input height')
- parser.add_argument("--device_target", type=str, choices=["Ascend", "GPU", "CPU"], default="Ascend",
- help="device target")
- args = parser.parse_args()
-
- context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target)
- context.set_context(device_id=args.device_id)
-
- if __name__ == '__main__':
- if args.device_target == "GPU":
- config = config_gpu
- else:
- config = config_ascend
- net = Inception_resnet_v2(classes=config.num_classes)
- param_dict = load_checkpoint(args.ckpt_file)
- load_param_into_net(net, param_dict)
-
- input_arr = Tensor(np.ones([1, 3, args.width, args.height]), dtype.float32)
- export(net, input_arr, file_name=args.file_name, file_format=args.file_format)
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