Auto feature extractor (#11097)
* AutoFeatureExtractor * Init and first tests * Tests * Damn you gitignore * Quality * Defensive test for when not all backends are here * Use pattern for Speech2Text models
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tests/test_feature_extraction_auto.py
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tests/test_feature_extraction_auto.py
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# coding=utf-8
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# Copyright 2021 the HuggingFace Inc. team.
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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 transformers import FEATURE_EXTRACTOR_MAPPING, AutoFeatureExtractor, Wav2Vec2FeatureExtractor
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SAMPLE_FEATURE_EXTRACTION_CONFIG = os.path.join(
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os.path.dirname(os.path.abspath(__file__)), "fixtures/dummy_feature_extractor_config.json"
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)
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class AutoFeatureExtractorTest(unittest.TestCase):
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def test_feature_extractor_from_model_shortcut(self):
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config = AutoFeatureExtractor.from_pretrained("facebook/wav2vec2-base-960h")
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self.assertIsInstance(config, Wav2Vec2FeatureExtractor)
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def test_feature_extractor_from_local_file(self):
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config = AutoFeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG)
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self.assertIsInstance(config, Wav2Vec2FeatureExtractor)
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def test_pattern_matching_fallback(self):
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"""
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In cases where config.json doesn't include a model_type,
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perform a few safety checks on the config mapping's order.
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"""
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# no key string should be included in a later key string (typical failure case)
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keys = list(FEATURE_EXTRACTOR_MAPPING.keys())
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for i, key in enumerate(keys):
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self.assertFalse(any(key in later_key for later_key in keys[i + 1 :]))
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