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- # Copyright 2020 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.
- # ============================================================================
- """eval Xception."""
- import os
- import numpy as np
-
- from mindspore import Tensor, context, load_checkpoint, load_param_into_net, export
-
- from src.Xception import xception
- from src.model_utils.config import config as args, config_gpu, config_ascend
- from src.model_utils.moxing_adapter import moxing_wrapper
-
-
- def modelarts_pre_process():
- '''modelarts pre process function.'''
- args.ckpt_file = os.path.join(os.path.dirname(os.path.abspath(__file__)), args.ckpt_file)
- args.file_name = os.path.join(args.output_path, args.file_name)
-
-
- @moxing_wrapper(pre_process=modelarts_pre_process)
- def run_export():
- '''export function'''
- if args.device_target == "Ascend":
- config = config_ascend
- elif args.device_target == "GPU":
- config = config_gpu
- else:
- raise ValueError("Unsupported device_target.")
-
- context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target)
- context.set_context(device_id=args.device_id)
- net = xception(class_num=config.class_num)
-
- # load checkpoint
- param_dict = load_checkpoint(args.ckpt_file)
- load_param_into_net(net, param_dict)
- net.set_train(False)
-
- image = Tensor(np.zeros([args.batch_size, 3, args.height, args.width], np.float32))
- export(net, image, file_name=args.file_name, file_format=args.file_format)
-
-
- if __name__ == "__main__":
- run_export()
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