wehub-resource-sync
65 lines
2.7 KiB
Python
65 lines
2.7 KiB
Python
# Copyright (c) 2022 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 os
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import unittest
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from tempfile import TemporaryDirectory
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from parameterized import parameterized
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from paddlenlp.taskflow import Taskflow
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from paddlenlp.taskflow.fill_mask import FillMaskTask
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from paddlenlp.transformers import AutoTokenizer, ErnieForMaskedLM
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class TestFillMaskTask(unittest.TestCase):
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def setUp(self):
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self.temp_dir = TemporaryDirectory()
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self.model_path = os.path.join(self.temp_dir.name, "model")
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model = ErnieForMaskedLM.from_pretrained("__internal_testing__/tiny-random-ernie")
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tokenizer = AutoTokenizer.from_pretrained("__internal_testing__/tiny-random-ernie")
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model.save_pretrained(self.model_path)
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tokenizer.save_pretrained(self.model_path)
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def tearDown(self):
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self.temp_dir.cleanup()
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def test_fill_mask_taskflow_invalid_inputs(self):
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taskflow = FillMaskTask(task="fill_mask", task_path=self.model_path)
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with self.assertRaises(ValueError):
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taskflow((["飞桨深度学习框"],))
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taskflow((["飞[MASK]深度学[MASK]"],))
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@parameterized.expand([(1, 1), (2, 3)])
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def test_fill_mask_taskflow(self, batch_size: int, top_k: int):
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# input_text is a tuple to simulate the args passed from Taskflow to TextClassificationTask
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input_text = (["飞桨深度学习框[MASK]", "生活的真谛是[MASK]"],)
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taskflow = FillMaskTask(task="fill_mask", task_path=self.model_path, batch_size=batch_size, top_k=top_k)
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results = taskflow(input_text)
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self.assertEqual(len(results), len(input_text[0]))
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for result in results:
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self.assertEqual(len(result), top_k)
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@parameterized.expand([(1, 1), (2, 3)])
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def test_taskflow(self, batch_size: int, top_k: int):
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input_text = ["飞桨深度学习框[MASK]", "生活的真谛是[MASK]"]
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taskflow = Taskflow(task="fill_mask", task_path=self.model_path, batch_size=batch_size, top_k=top_k)
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results = taskflow(input_text)
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self.assertEqual(len(results), len(input_text))
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for result in results:
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self.assertEqual(len(result), top_k)
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