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78 lines
2.8 KiB
78 lines
2.8 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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"""Evaluation api."""
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import argparse
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import pickle
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import os
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from mindspore.common import dtype as mstype
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from config import GNMTConfig
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from src.gnmt_model import infer
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from src.gnmt_model.bleu_calculate import bleu_calculate
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from src.dataset.tokenizer import Tokenizer
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parser = argparse.ArgumentParser(description='gnmt')
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parser.add_argument("--config", type=str, required=True,
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help="model config json file path.")
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parser.add_argument("--test_dataset", type=str, required=True,
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help="test dataset address.")
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parser.add_argument("--existed_ckpt", type=str, required=True,
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help="existed checkpoint address.")
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parser.add_argument("--vocab", type=str, required=True,
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help="Vocabulary to use.")
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parser.add_argument("--bpe_codes", type=str, required=True,
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help="bpe codes to use.")
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parser.add_argument("--test_tgt", type=str, required=True,
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default=None,
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help="data file of the test target")
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parser.add_argument("--output", type=str, required=False,
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default="./output.npz",
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help="result file path.")
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def get_config(config):
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config = GNMTConfig.from_json_file(config)
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config.compute_type = mstype.float16
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config.dtype = mstype.float32
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return config
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def _check_args(config):
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if not os.path.exists(config):
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raise FileNotFoundError("`config` is not existed.")
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if not isinstance(config, str):
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raise ValueError("`config` must be type of str.")
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if __name__ == '__main__':
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args, _ = parser.parse_known_args()
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_check_args(args.config)
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_config = get_config(args.config)
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_config.test_dataset = args.test_dataset
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_config.existed_ckpt = args.existed_ckpt
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result = infer(_config)
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with open(args.output, "wb") as f:
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pickle.dump(result, f, 1)
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result_npy_addr = args.output
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vocab = args.vocab
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bpe_codes = args.bpe_codes
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test_tgt = args.test_tgt
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tokenizer = Tokenizer(vocab, bpe_codes, 'en', 'de')
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scores = bleu_calculate(tokenizer, result_npy_addr, test_tgt)
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print(f"BLEU scores is :{scores}")
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