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35 lines
1.4 KiB
35 lines
1.4 KiB
# Copyright 2021 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 NAML."""
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from mindspore.common import set_seed
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from mindspore.train.serialization import load_checkpoint
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from src.naml import NAML, NAMLWithLossCell
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from src.option import get_args
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from src.dataset import MINDPreprocess
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from src.utils import NAMLMetric, get_metric
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if __name__ == '__main__':
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args = get_args("eval")
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set_seed(args.seed)
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net = NAML(args)
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net.set_train(False)
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net_with_loss = NAMLWithLossCell(net)
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load_checkpoint(args.checkpoint_path, net_with_loss)
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news_encoder = net.news_encoder
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user_encoder = net.user_encoder
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metric = NAMLMetric()
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mindpreprocess = MINDPreprocess(vars(args), dataset_path=args.eval_dataset_path)
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get_metric(args, mindpreprocess, news_encoder, user_encoder, metric)
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