|
- # 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.
- # ============================================================================
- """
- mobilenetv2 export mindir.
- """
- import numpy as np
- from mindspore import Tensor, export
- from src.config import set_config
- from src.args import export_parse_args
- from src.models import define_net, load_ckpt
- from src.utils import set_context
-
- if __name__ == '__main__':
- args_opt = export_parse_args()
- cfg = set_config(args_opt)
- set_context(cfg)
- _, _, net = define_net(cfg, args_opt.is_training)
-
- load_ckpt(net, args_opt.pretrain_ckpt)
- input_shp = [1, 3, cfg.image_height, cfg.image_width]
- input_array = Tensor(np.random.uniform(-1.0, 1.0, size=input_shp).astype(np.float32))
- export(net, input_array, file_name=cfg.export_file, file_format=cfg.export_format)
|
