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* 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
41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
import shutil
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import tempfile
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import unittest
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import pytest
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from transformers import Owlv2Processor
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from transformers.testing_utils import require_scipy
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from ...test_processing_common import ProcessorTesterMixin
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@require_scipy
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class Owlv2ProcessorTest(ProcessorTesterMixin, unittest.TestCase):
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processor_class = Owlv2Processor
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@classmethod
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def setUpClass(cls):
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cls.tmpdirname = tempfile.mkdtemp()
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processor = cls.processor_class.from_pretrained("google/owlv2-base-patch16-ensemble")
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processor.save_pretrained(cls.tmpdirname)
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@classmethod
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def tearDownClass(cls):
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shutil.rmtree(cls.tmpdirname, ignore_errors=True)
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def test_processor_query_images_positional(self):
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processor_components = self.prepare_components()
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processor = Owlv2Processor(**processor_components)
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image_input = self.prepare_image_inputs()
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query_images = self.prepare_image_inputs()
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inputs = processor(None, image_input, query_images)
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self.assertListEqual(list(inputs.keys()), ["query_pixel_values", "pixel_values"])
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# test if it raises when no input is passed
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with pytest.raises(ValueError):
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processor()
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