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204d251310
* Add AutoProcessor class * Init and tests * Add doc * Fix init * Update src/transformers/models/auto/processing_auto.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Reverts to tokenizer or feature extractor when available * Adapt test Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
57 lines
2.3 KiB
Python
57 lines
2.3 KiB
Python
# 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 tempfile
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import unittest
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from transformers import AutoProcessor, BeitFeatureExtractor, BertTokenizerFast, Wav2Vec2Config, Wav2Vec2Processor
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from transformers.testing_utils import require_torch
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SAMPLE_PROCESSOR_CONFIG_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures")
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SAMPLE_PROCESSOR_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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SAMPLE_CONFIG = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures/dummy-config.json")
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class AutoFeatureExtractorTest(unittest.TestCase):
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def test_processor_from_model_shortcut(self):
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processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base-960h")
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self.assertIsInstance(processor, Wav2Vec2Processor)
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def test_processor_from_local_directory_from_config(self):
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with tempfile.TemporaryDirectory() as tmpdirname:
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model_config = Wav2Vec2Config()
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processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base-960h")
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# save in new folder
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model_config.save_pretrained(tmpdirname)
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processor.save_pretrained(tmpdirname)
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processor = AutoProcessor.from_pretrained(tmpdirname)
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self.assertIsInstance(processor, Wav2Vec2Processor)
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def test_auto_processor_reverts_to_tokenizer(self):
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processor = AutoProcessor.from_pretrained("bert-base-cased")
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self.assertIsInstance(processor, BertTokenizerFast)
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@require_torch
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def test_auto_processor_reverts_to_feature_extractor(self):
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processor = AutoProcessor.from_pretrained("microsoft/beit-base-patch16-224")
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self.assertIsInstance(processor, BeitFeatureExtractor)
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