mirror of
https://github.com/huggingface/transformers.git
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4d0de5f73a
* More limited setup -> setupclass conversion * make fixup * Trigger tests * Fixup UDOP * Missed a spot * tearDown -> tearDownClass where appropriate * Couple more class fixes * Fixups for UDOP and VisionTextDualEncoder * Ignore errors when removing the tmpdir, in case it already got cleaned up somewhere * CLIP fixes * More correct classmethods * Wav2Vec2Bert fixes * More methods become static * More class methods * More class methods * Revert changes for integration tests / modeling files * Use a different tempdir for tests that actually write to it * Remove addClassCleanup and just use teardownclass * Remove changes in modeling files * Cleanup get_processor_dict() for got_ocr2 * Fix regression on Wav2Vec2BERT test that was masked by this before * Rework tests that modify the tmpdir * make fix-copies * revert clvp modeling test changes * Fix CLIP processor test * make fix-copies
48 lines
1.7 KiB
Python
48 lines
1.7 KiB
Python
# Copyright 2024 The HuggingFace Inc. 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 tempfile
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import unittest
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from transformers import AltCLIPProcessor, CLIPImageProcessor, XLMRobertaTokenizer, XLMRobertaTokenizerFast
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from transformers.testing_utils import require_vision
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from ...test_processing_common import ProcessorTesterMixin
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@require_vision
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class AltClipProcessorTest(ProcessorTesterMixin, unittest.TestCase):
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processor_class = AltCLIPProcessor
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@classmethod
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def setUpClass(cls):
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cls.model_id = "BAAI/AltCLIP"
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cls.tmpdirname = tempfile.mkdtemp()
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image_processor = CLIPImageProcessor()
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tokenizer = XLMRobertaTokenizer.from_pretrained(cls.model_id)
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processor = cls.processor_class(image_processor, tokenizer)
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processor.save_pretrained(cls.tmpdirname)
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def get_tokenizer(self, **kwargs):
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return XLMRobertaTokenizer.from_pretrained(self.model_id, **kwargs)
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def get_rust_tokenizer(self, **kwargs):
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return XLMRobertaTokenizerFast.from_pretrained(self.model_id, **kwargs)
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def get_image_processor(self, **kwargs):
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return CLIPImageProcessor.from_pretrained(self.model_id, **kwargs)
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