mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-04-19 13:52:07 +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>
49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
import pytest
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@pytest.fixture(scope="module")
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def flash_pali_gemma_handle(launcher):
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with launcher(
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"google/paligemma-3b-pt-224",
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num_shard=1,
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revision="float16",
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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_pali_gemma(flash_pali_gemma_handle):
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await flash_pali_gemma_handle.health(300)
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return flash_pali_gemma_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_pali_gemma(flash_pali_gemma, response_snapshot, cow_beach):
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inputs = f"Where is the cow standing?\n"
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response = await flash_pali_gemma.generate(inputs, max_new_tokens=20)
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assert response.generated_text == "beach"
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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_pali_gemma_two_images(
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flash_pali_gemma, response_snapshot, chicken, cow_beach
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):
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response = await flash_pali_gemma.generate(
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f"caption\n",
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max_new_tokens=20,
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)
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# Is PaliGemma not able to handle two separate images? At least we
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# get output showing that both images are used.
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assert (
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response.generated_text == "image result for chicken on the beach"
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), f"{repr(response.generated_text)}"
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assert response == response_snapshot
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