mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-04-19 22:02:06 +00:00
da5ab46705
* feat: expand vlm support and add image token logic and tests * fix: avoid unused perceiver config * feat: integrate image tokens into inputs embeds * feat: add simple idefics3 test * feat: update docs, image token logic and weight names * fix: improve image processing * feat: improve prefix for idefics3 * fix: bump idefics3 tests and snapshots * fix: improve text model loading * feat: consolidate changes with existing vlms and add support and test for smolvlm * fix: create new idefic3 file, simplify logic and adjust llama weight loading * fix: lint with ruff * fix: clean up idefics 3 and improve prefix handling * fix: improve typing * fix: improve prompt_split_image with ref to original impl * fix: adjust ruff lints and small refactors * fix: adjust FlashLlamaModel prefix logic
32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
import pytest
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@pytest.fixture(scope="module")
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def flash_idefics3_next_handle(launcher):
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with launcher("HuggingFaceM4/Idefics3-8B-Llama3") as handle:
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yield handle
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@pytest.fixture(scope="module")
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async def flash_idefics3_next(flash_idefics3_next_handle):
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await flash_idefics3_next_handle.health(300)
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return flash_idefics3_next_handle.client
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_idefics3_next_simple_url(flash_idefics3_next, response_snapshot):
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ny_skyline = "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
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query = "What is in this image?"
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response = await flash_idefics3_next.generate(
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f"<|begin_of_text|><|begin_of_text|>User:{query}<end_of_utterance>\nAssistant:",
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max_new_tokens=10,
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seed=1337,
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)
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print(response)
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assert (
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response.generated_text == " There is a statue in the image."
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), f"{repr(response.generated_text)}"
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assert response.details.generated_tokens == 9
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assert response == response_snapshot
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