Blip dynamic input resolution #30722
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amyeroberts
reviewed
May 9, 2024
| inputs = processor(images=image, return_tensors="pt").to(torch_device) | ||
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| predictions = model.generate(**inputs, interpolate_pos_encoding=True) | ||
| self.assertEqual(predictions[0].tolist(), [30522, 1037, 2450, 3564, 2006, 1996, 3509, 2007, 1037, 3899, 102]) |
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Have you checked the generated ids here to make sure they make sense for the picture i.e.:
processor.batch_decode([30522, 1037, 2450, 3564, 2006, 1996, 3509, 2007, 1037, 3899, 102])
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@amyeroberts good point! the tests now also have a check for the textual content. |
amyeroberts
approved these changes
May 13, 2024
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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What does this PR do?
This PR adds ability to handle dynamic input image resolutions to the BLIP family of models.
Addresses #30579
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