63 lines
2.7 KiB
Python
63 lines
2.7 KiB
Python
# Copyright 2020 The HuggingFace Team. 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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from transformers import pipeline
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from transformers.testing_utils import require_torch
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from .test_pipelines_common import MonoInputPipelineCommonMixin
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class TextGenerationPipelineTests(MonoInputPipelineCommonMixin, unittest.TestCase):
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pipeline_task = "text-generation"
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pipeline_running_kwargs = {"prefix": "This is "}
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small_models = ["sshleifer/tiny-ctrl"] # Models tested without the @slow decorator
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large_models = [] # Models tested with the @slow decorator
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def test_simple_generation(self):
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nlp = pipeline(task="text-generation", model=self.small_models[0])
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# text-generation is non-deterministic by nature, we can't fully test the output
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outputs = nlp("This is a test")
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self.assertEqual(len(outputs), 1)
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self.assertEqual(list(outputs[0].keys()), ["generated_text"])
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self.assertEqual(type(outputs[0]["generated_text"]), str)
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outputs = nlp(["This is a test", "This is a second test"])
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self.assertEqual(len(outputs[0]), 1)
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self.assertEqual(list(outputs[0][0].keys()), ["generated_text"])
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self.assertEqual(type(outputs[0][0]["generated_text"]), str)
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self.assertEqual(list(outputs[1][0].keys()), ["generated_text"])
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self.assertEqual(type(outputs[1][0]["generated_text"]), str)
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@require_torch
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def test_generation_output_style(self):
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text_generator = pipeline(task="text-generation", model=self.small_models[0])
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# text-generation is non-deterministic by nature, we can't fully test the output
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outputs = text_generator("This is a test")
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self.assertIn("This is a test", outputs[0]["generated_text"])
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outputs = text_generator("This is a test", return_full_text=False)
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self.assertNotIn("This is a test", outputs[0]["generated_text"])
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text_generator = pipeline(task="text-generation", model=self.small_models[0], return_full_text=False)
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outputs = text_generator("This is a test")
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self.assertNotIn("This is a test", outputs[0]["generated_text"])
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outputs = text_generator("This is a test", return_full_text=True)
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self.assertIn("This is a test", outputs[0]["generated_text"])
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