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83 lines
2.1 KiB
Python
83 lines
2.1 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import asyncio
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import random
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from collections.abc import Callable
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import openai
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import pytest
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import pytest_asyncio
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from tests.utils import RemoteOpenAIServer
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MODEL_NAME = "Qwen/Qwen2.5-1.5B-Instruct"
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@pytest.fixture(scope="module")
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def server(): # noqa: F811
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args = [
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# use half precision for speed and memory savings in CI environment
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"--dtype",
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"bfloat16",
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"--max-model-len",
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"8192",
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"--enforce-eager",
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"--max-num-seqs",
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"128",
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"--load-format",
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"dummy",
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]
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with RemoteOpenAIServer(MODEL_NAME, args) as remote_server:
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yield remote_server
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@pytest_asyncio.fixture
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async def client(server):
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async with server.get_async_client() as async_client:
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yield async_client
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@pytest.mark.asyncio
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@pytest.mark.parametrize(
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ids=["completion", "chat"],
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argnames=["create_func_gen", "content_body"],
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argvalues=[
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(lambda x: x.completions.create, {"prompt": " ".join(["A"] * 10_000)}),
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(
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lambda x: x.chat.completions.create,
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{"messages": [{"role": "user", "content": " ".join(["A"] * 10_000)}]},
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),
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],
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)
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async def test_with_and_without_truncate(
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server: RemoteOpenAIServer,
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client: openai.AsyncOpenAI,
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create_func_gen: Callable,
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content_body: dict,
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):
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create_func = create_func_gen(client)
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body = {"model": MODEL_NAME, **content_body, "max_tokens": 10}
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num_requests = 10
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truncate_prompt_tokens = [1000] * (num_requests // 2) + [None] * (
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num_requests - num_requests // 2
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)
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random.shuffle(truncate_prompt_tokens)
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bodies = [
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{**body, "extra_body": {"truncate_prompt_tokens": t}}
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for t in truncate_prompt_tokens
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]
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async def get_status_code(**kwargs):
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try:
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await create_func(**kwargs)
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return 200
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except openai.APIStatusError as e:
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return e.status_code
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responses = await asyncio.gather(*[get_status_code(**b) for b in bodies])
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assert 500 not in responses
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