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* Fixing empty prompts for text-generation when BOS exists. * Fixing odd case with Pegasus. * Fixing Bert is Assertion Error.
120 lines
5.0 KiB
Python
120 lines
5.0 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 MODEL_FOR_CAUSAL_LM_MAPPING, TF_MODEL_FOR_CAUSAL_LM_MAPPING, TextGenerationPipeline, pipeline
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from transformers.testing_utils import is_pipeline_test, require_tf, require_torch
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from .test_pipelines_common import ANY, PipelineTestCaseMeta
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@is_pipeline_test
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class TextGenerationPipelineTests(unittest.TestCase, metaclass=PipelineTestCaseMeta):
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model_mapping = MODEL_FOR_CAUSAL_LM_MAPPING
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tf_model_mapping = TF_MODEL_FOR_CAUSAL_LM_MAPPING
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@require_torch
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def test_small_model_pt(self):
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text_generator = pipeline(task="text-generation", model="sshleifer/tiny-ctrl", framework="pt")
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# Using `do_sample=False` to force deterministic output
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outputs = text_generator("This is a test", do_sample=False)
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self.assertEqual(
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outputs,
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[
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{
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"generated_text": "This is a test ☃ ☃ segmental segmental segmental 议议eski eski flutter flutter Lacy oscope. oscope. FiliFili@@"
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}
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],
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)
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outputs = text_generator(["This is a test", "This is a second test"])
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self.assertEqual(
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outputs,
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[
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[
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{
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"generated_text": "This is a test ☃ ☃ segmental segmental segmental 议议eski eski flutter flutter Lacy oscope. oscope. FiliFili@@"
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}
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],
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[
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{
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"generated_text": "This is a second test ☃ segmental segmental segmental 议议eski eski flutter flutter Lacy oscope. oscope. FiliFili@@"
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}
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],
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],
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)
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@require_tf
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def test_small_model_tf(self):
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text_generator = pipeline(task="text-generation", model="sshleifer/tiny-ctrl", framework="tf")
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# Using `do_sample=False` to force deterministic output
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outputs = text_generator("This is a test", do_sample=False)
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self.assertEqual(
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outputs,
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[
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{
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"generated_text": "This is a test FeyFeyFey(Croatis.), s.), Cannes Cannes Cannes 閲閲Cannes Cannes Cannes 攵 please,"
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}
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],
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)
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outputs = text_generator(["This is a test", "This is a second test"], do_sample=False)
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self.assertEqual(
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outputs,
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[
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[
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{
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"generated_text": "This is a test FeyFeyFey(Croatis.), s.), Cannes Cannes Cannes 閲閲Cannes Cannes Cannes 攵 please,"
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}
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],
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[
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{
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"generated_text": "This is a second test Chieftain Chieftain prefecture prefecture prefecture Cannes Cannes Cannes 閲閲Cannes Cannes Cannes 攵 please,"
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}
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],
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],
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)
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def run_pipeline_test(self, model, tokenizer, feature_extractor):
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text_generator = TextGenerationPipeline(model=model, tokenizer=tokenizer)
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outputs = text_generator("This is a test")
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self.assertEqual(outputs, [{"generated_text": ANY(str)}])
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self.assertTrue(outputs[0]["generated_text"].startswith("This is a test"))
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outputs = text_generator("This is a test", return_full_text=False)
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self.assertEqual(outputs, [{"generated_text": ANY(str)}])
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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=model, tokenizer=tokenizer, return_full_text=False)
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outputs = text_generator("This is a test")
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self.assertEqual(outputs, [{"generated_text": ANY(str)}])
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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.assertEqual(outputs, [{"generated_text": ANY(str)}])
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self.assertTrue(outputs[0]["generated_text"].startswith("This is a test"))
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# Empty prompt is slighly special
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# it requires BOS token to exist.
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# Special case for Pegasus which will always append EOS so will
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# work even without BOS.
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if text_generator.tokenizer.bos_token_id is not None or "Pegasus" in tokenizer.__class__.__name__:
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outputs = text_generator("")
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self.assertEqual(outputs, [{"generated_text": ANY(str)}])
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else:
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with self.assertRaises((ValueError, AssertionError)):
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outputs = text_generator("")
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