mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-04-20 06:12:07 +00:00
fb2f74e2b9
* Refactor dead code. * First working step. * Remove a lot of duplicated code. * More dead code. * More cleanup. * Fix Santacoder test. * Fixing the simple tests. * Fixing sharding. * Fixes for VLM. * Fixing santacoder (num_kv_heads hardcoded). * Removing more dead code. * Fixing `config.n_head`. * Stopping earlier because of `<end_of_utterance>` in idefics2. * Addresses comments. * Removing the dead code. * Fuse back mistral into FlashCausalLM. * Finish removal. * Fixing docs + causal_lm `batch_class`. * Fixing docs + causal.lm. * Add default to Gemma Causality. * Default value for gemma/gemma2. * Wrong default.
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 == 19
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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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