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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 os
- import numpy as np
-
- import mindspore as ms
- from mindspore import context, Tensor, load_checkpoint, load_param_into_net, export
- from src.models import get_r2plus1d_model
- from src.config import config as cfg
-
- if __name__ == '__main__':
- device_id = int(os.getenv('DEVICE_ID', '0'))
- context.set_context(mode=context.GRAPH_MODE, device_target=cfg.device_target,
- device_id=device_id)
- net = get_r2plus1d_model(cfg.num_classes, cfg.layer_num)
-
- param_dict = load_checkpoint(cfg.ckpt_file)
- load_param_into_net(net, param_dict)
-
- input_arr = Tensor(np.zeros([cfg.export_batch_size, 3, 16, \
- cfg.image_height, cfg.image_width]), ms.float32)
- export(net, input_arr, file_name=cfg.file_name, file_format=cfg.file_format)
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