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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.
- # ============================================================================
- """export checkpoint file into air models"""
- import argparse
- import numpy as np
-
- from mindspore import Tensor, context, load_checkpoint, load_param_into_net, export
-
- from src.warpctc import StackedRNN
- from src.config import config
-
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
-
- if __name__ == '__main__':
-
- parser = argparse.ArgumentParser(description='warpctc_export')
- parser.add_argument('--ckpt_file', type=str, default='', help='warpctc ckpt file.')
- parser.add_argument('--output_file', type=str, default='', help='warpctc output air name.')
- args_opt = parser.parse_args()
- captcha_width = config.captcha_width
- captcha_height = config.captcha_height
- batch_size = config.batch_size
- hidden_size = config.hidden_size
- net = StackedRNN(captcha_height * 3, batch_size, hidden_size)
- param_dict = load_checkpoint(args_opt.ckpt_file)
- load_param_into_net(net, param_dict)
- net.set_train(False)
-
- image = Tensor(np.zeros([batch_size, 3, captcha_height, captcha_width], np.float16))
- export(net, image, file_name=args_opt.output_file, file_format="AIR")
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