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https://github.com/huggingface/text-generation-inference.git
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e903770897
When a batch contained images if different sizes during prefill, the server would fail (see e.g. #2056). Images were processed separately and then concatenated. However, this can fail for images with different sizes. Fix this by preprocessing all images in the batch together, so that the image processor can ensure that all image tensors have compatible sizes.
105 lines
3.3 KiB
Python
105 lines
3.3 KiB
Python
import pytest
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import base64
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# TODO fix the server parsser to count inline image tokens correctly
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def get_chicken():
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with open("integration-tests/images/chicken_on_money.png", "rb") as image_file:
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encoded_string = base64.b64encode(image_file.read())
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return f"data:image/png;base64,{encoded_string.decode('utf-8')}"
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def get_cow_beach():
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with open("integration-tests/images/cow_beach.png", "rb") as image_file:
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encoded_string = base64.b64encode(image_file.read())
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return f"data:image/png;base64,{encoded_string.decode('utf-8')}"
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@pytest.fixture(scope="module")
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def flash_idefics2_next_handle(launcher):
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with launcher(
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"HuggingFaceM4/idefics2-8b",
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) as handle:
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yield handle
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@pytest.fixture(scope="module")
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async def flash_idefics2_next(flash_idefics2_next_handle):
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await flash_idefics2_next_handle.health(300)
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return flash_idefics2_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_idefics2_next_simple(flash_idefics2_next, response_snapshot):
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chicken = get_chicken()
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response = await flash_idefics2_next.generate(
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f"User:Write me a short story<end_of_utterance> \nAssistant:",
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max_new_tokens=10,
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)
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assert (
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response.generated_text == " A chicken is sitting on a pile of money."
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), f"{repr(response.generated_text)}"
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assert response.details.generated_tokens == 10
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assert response == response_snapshot
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_idefics2_two_images(flash_idefics2_next, response_snapshot):
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chicken = get_chicken()
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cow_beach = get_cow_beach()
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response = await flash_idefics2_next.generate(
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f"User:Where are the cow and chicken?<end_of_utterance> \nAssistant:",
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max_new_tokens=20,
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)
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assert (
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response.generated_text
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== " The cow is standing on the beach and the chicken is sitting on a pile of money."
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), f"{repr(response.generated_text)}"
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assert response.details.generated_tokens == 20
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assert response == response_snapshot
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_idefics2_next_all_params(flash_idefics2_next, response_snapshot):
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response = await flash_idefics2_next.generate(
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"Test request",
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max_new_tokens=10,
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repetition_penalty=1.2,
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return_full_text=True,
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stop_sequences=["test"],
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temperature=0.5,
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top_p=0.9,
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top_k=10,
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truncate=5,
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typical_p=0.9,
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watermark=True,
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decoder_input_details=True,
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seed=0,
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)
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assert response.details.generated_tokens == 10
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assert response == response_snapshot
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_idefics2_next_load(
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flash_idefics2_next, generate_load, response_snapshot
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):
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chicken = get_chicken()
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responses = await generate_load(
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flash_idefics2_next,
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f"User:Write me a short story<end_of_utterance> \nAssistant:",
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max_new_tokens=10,
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n=4,
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)
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generated_texts = [r.generated_text for r in responses]
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assert generated_texts[0] == " A chicken is sitting on a pile of money."
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assert len(generated_texts) == 4
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assert all([r.generated_text == generated_texts[0] for r in responses])
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assert responses == response_snapshot
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