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# 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 |
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import mindspore.common.dtype as mstype |
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from mindspore.train.serialization import load_checkpoint, export |
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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.air', 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") |