mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-04-20 06:12:07 +00:00
a6a0c97ed9
* wip * rollback * refactor to use prefix/postfix namming + fix all_input_ids_tensor * maybe patching vlms? * fix filter and concat * wip, no filter, no concat * current * add prepare_for_prefill * working * load tested * re-create slots * re-create slots * fix slot_filtering_indices * feedback loop * remove log * fix benchmarker * fix vlm and seq2seq * rename to cache and input lengths * fix prefill logprobs * fix launcher * fix logprobs? * idk at this point * max input length * omfg * remove debugging lines * fix tests * fix mllama * fix cargo tests * remove support chunking for paged * Fixing non blocked attentions * Fixing dtype + AMD, Ipex targets. * lint fix. * rename * Fix prefix_caching variable, remove defaults in server (confusing a lot of the times). * Add simple resolution when user specifies ATTENTION=paged. * Put back non default simple tests. * Fix env name --------- Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
78 lines
2.2 KiB
Python
78 lines
2.2 KiB
Python
import pytest
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@pytest.fixture(scope="module")
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def flash_llava_next_handle(launcher):
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with launcher(
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"llava-hf/llava-v1.6-mistral-7b-hf",
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num_shard=4,
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max_input_length=4000,
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max_total_tokens=4096,
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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_llava_next(flash_llava_next_handle):
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await flash_llava_next_handle.health(300)
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return flash_llava_next_handle.client
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@pytest.mark.release
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_llava_next_simple(flash_llava_next, response_snapshot, chicken):
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response = await flash_llava_next.generate(
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f"User:Can you tell me a very short story based on the image?",
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max_new_tokens=10,
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)
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assert (
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response.generated_text == "\n\nOnce upon a time, there was a"
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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.release
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_llava_next_all_params(flash_llava_next, response_snapshot):
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response = await flash_llava_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 == 6
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assert response == response_snapshot
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@pytest.mark.release
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_llava_next_load(
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flash_llava_next, generate_load, response_snapshot, chicken
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):
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responses = await generate_load(
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flash_llava_next,
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f"User:Can you tell me a very short story based on the image?",
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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] == "\n\nOnce upon a time, there was a"
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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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