text: # 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 UNet3Plus
  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 = UNet3Plus()
  
      param_dict = load_checkpoint(cfg.ckpt_file)
      load_param_into_net(net, param_dict)
  
      input_arr = Tensor(np.zeros([cfg.export_batch_size, 3, \
                                  cfg.image_height, cfg.image_width]), ms.float32)
      export(net, input_arr, file_name=cfg.file_name, file_format=cfg.file_format)
  