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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 argparse
- import numpy as np
-
- import mindspore as ms
- from mindspore import context, Tensor, load_checkpoint, load_param_into_net, export
-
- from src.east import EAST
-
- parser = argparse.ArgumentParser(description='EAST')
- parser.add_argument("--device_id", type=int, default=0, help="Device id")
- parser.add_argument("--batch_size", type=int, default=1, help="batch size")
- parser.add_argument('--image_height', type=int, default=512,
- help='image_height.')
- parser.add_argument('--image_width', type=int, default=512,
- help='image_width.')
- parser.add_argument(
- '--device_target',
- type=str,
- default="Ascend",
- choices=[
- 'Ascend',
- 'GPU',
- 'CPU'],
- help='device where the code will be implemented (default: Ascend)')
- parser.add_argument(
- "--ckpt_file",
- type=str,
- required=True,
- help="Checkpoint file path.")
- parser.add_argument(
- "--file_name",
- type=str,
- default="alexnet",
- help="output file name.")
- parser.add_argument(
- "--file_format",
- type=str,
- choices=[
- "AIR",
- "ONNX",
- "MINDIR"],
- default="AIR",
- help="file format")
- args_opt = parser.parse_args()
-
- context.set_context(
- mode=context.GRAPH_MODE,
- device_target=args_opt.device_target)
- if args_opt.device_target == "Ascend":
- context.set_context(device_id=args_opt.device_id)
-
- if __name__ == '__main__':
- net = EAST()
-
- param_dict = load_checkpoint(args_opt.ckpt_file)
- load_param_into_net(net, param_dict)
-
- input_arr = Tensor(np.zeros(
- [args_opt.batch_size, 3, args_opt.image_height, args_opt.image_width]), ms.float32)
- export(
- net,
- input_arr,
- file_name=args_opt.file_name,
- file_format=args_opt.file_format)
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