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>
91 lines
2.7 KiB
Python
91 lines
2.7 KiB
Python
import pytest
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import asyncio
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@pytest.fixture(scope="module")
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def mllama_handle(launcher):
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with launcher("meta-llama/Llama-3.2-11B-Vision-Instruct", num_shard=2) as handle:
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yield handle
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@pytest.fixture(scope="module")
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async def mllama(mllama_handle):
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await mllama_handle.health(300)
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return mllama_handle.client
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@pytest.mark.asyncio
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async def test_mllama_simpl(mllama, response_snapshot):
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response = await mllama.chat(
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max_tokens=10,
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temperature=0.0,
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messages=[
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "Can you tell me a very short story based on the image?",
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},
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{
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"type": "image_url",
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"image_url": {
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"url": "https://raw.githubusercontent.com/huggingface/text-generation-inference/main/integration-tests/images/chicken_on_money.png"
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},
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},
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],
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},
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],
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)
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assert response.usage == {
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"completion_tokens": 10,
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"prompt_tokens": 50,
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"total_tokens": 60,
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}
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assert (
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response.choices[0].message.content
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== "In a bustling city, a chicken named Cluck"
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)
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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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async def test_mllama_load(mllama, generate_load, response_snapshot):
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futures = [
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mllama.chat(
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max_tokens=10,
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temperature=0.0,
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messages=[
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "Can you tell me a very short story based on the image?",
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},
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{
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"type": "image_url",
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"image_url": {
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"url": "https://raw.githubusercontent.com/huggingface/text-generation-inference/main/integration-tests/images/chicken_on_money.png"
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},
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},
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],
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},
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],
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)
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for i in range(4)
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]
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responses = await asyncio.gather(*futures)
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generated_texts = [response.choices[0].message.content for response in responses]
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assert generated_texts[0] == "In a bustling city, a chicken named Cluck"
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assert len(generated_texts) == 4
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assert generated_texts, all(
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[text == generated_texts[0] for text in generated_texts]
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)
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assert responses == response_snapshot
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