paddlenlp

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# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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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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import unittest
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import paddle
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from paddlenlp.metrics import SpanEvaluator
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class TestSpanEvaluator(unittest.TestCase):
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    def test_metrics(self):
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        metric = SpanEvaluator()
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        metric.reset()
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        start_prob = paddle.to_tensor([[0.1, 0.1, 0.6, 0.2], [0.0, 0.9, 0.1, 0.0]])
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        end_prob = paddle.to_tensor([[0.1, 0.1, 0.2, 0.6], [0.0, 0.9, 0.1, 0.0]])
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        start_ids = paddle.to_tensor([[0, 0, 1, 0], [0, 0, 1, 0]])
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        end_ids = paddle.to_tensor([[0, 0, 0, 1], [0, 0, 1, 0]])
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        num_correct, num_infer, num_label = metric.compute(start_prob, end_prob, start_ids, end_ids)
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        metric.update(num_correct, num_infer, num_label)
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        precision, recall, f1 = metric.accumulate()
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        self.assertEqual(precision, 0.5)
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        self.assertEqual(recall, 0.5)
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        self.assertEqual(f1, 0.5)
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