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48 lines
1.7 KiB
48 lines
1.7 KiB
# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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"""export checkpoint file into air models"""
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import argparse
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import numpy as np
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from mindspore import Tensor, context, load_checkpoint, export
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import mindspore.common.dtype as mstype
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from src.config import Config_CNNCTC
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from src.cnn_ctc import CNNCTC_Model
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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
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parser = argparse.ArgumentParser(description='CNNCTC_export')
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parser.add_argument('--ckpt_file', type=str, default='./ckpts/cnn_ctc.ckpt', help='CNN&CTC ckpt file.')
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parser.add_argument('--output_file', type=str, default='cnn_ctc', help='CNN&CTC output air name.')
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args_opt = parser.parse_args()
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if __name__ == '__main__':
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cfg = Config_CNNCTC()
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ckpt_path = cfg.CKPT_PATH
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if args_opt.ckpt_file != "":
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ckpt_path = args_opt.ckpt_file
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net = CNNCTC_Model(cfg.NUM_CLASS, cfg.HIDDEN_SIZE, cfg.FINAL_FEATURE_WIDTH)
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load_checkpoint(ckpt_path, net=net)
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bs = cfg.TEST_BATCH_SIZE
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input_data = Tensor(np.zeros([bs, 3, cfg.IMG_H, cfg.IMG_W]), mstype.float32)
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export(net, input_data, file_name=args_opt.output_file, file_format="AIR")
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