[Test] L2 & L3 Test Case Stratification Design for Omni Model (#1272)
Signed-off-by: wangyu31577 <wangyu31577@hundsun.com> Signed-off-by: yenuo26 <410167048@qq.com> Signed-off-by: wangyu <53896905+yenuo26@users.noreply.github.com> Signed-off-by: Hongsheng Liu <liuhongsheng4@huawei.com> Co-authored-by: wangyu31577 <wangyu31577@hundsun.com> Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
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import asyncio
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import os
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import sys
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from contextlib import ExitStack
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from pathlib import Path
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import pytest
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from vllm import SamplingParams
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from vllm.inputs import PromptType
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from tests.utils import hardware_test
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from vllm_omni.entrypoints.async_omni import AsyncOmni
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os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
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SEED = 42
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stage_config = str(Path(__file__).parent.parent / "e2e" / "stage_configs" / "qwen3_omni_thinker_ci.yaml")
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model = "Qwen/Qwen3-Omni-30B-A3B-Instruct"
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async def generate(
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engine: AsyncOmni,
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request_id: str,
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prompt: PromptType,
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max_tokens: int,
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) -> tuple[int, str]:
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# Ensure generate doesn't complete too fast for cancellation test.
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await asyncio.sleep(0.2)
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thinker_sampling_params = SamplingParams(
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temperature=0.4, # Deterministic
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top_p=0.9,
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top_k=1,
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max_tokens=max_tokens,
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repetition_penalty=1.05,
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stop_token_ids=[151645], # Qwen EOS token <|im_end|>
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seed=SEED,
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)
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sampling_params_list = [
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thinker_sampling_params,
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]
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count = 0
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async for omni_output in engine.generate(
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prompt=prompt,
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request_id=request_id,
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sampling_params_list=sampling_params_list,
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output_modalities=["text"],
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):
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stage_id = omni_output.stage_id
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out = omni_output.request_output
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if stage_id == 0:
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num_tokens = sum(len(output.token_ids) for output in out.outputs)
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count = num_tokens
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await asyncio.sleep(0.0)
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return count, request_id
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@pytest.mark.core_model
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@pytest.mark.omni
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@hardware_test(res={"cuda": "H100", "rocm": "MI325"}, num_cards=2)
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@pytest.mark.asyncio
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async def test_abort():
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with ExitStack() as after:
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# Avoid SHM IPC in tests to prevent /dev/shm exhaustion and SIGBUS.
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engine = AsyncOmni(
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model=model,
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stage_configs_path=stage_config,
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shm_threshold_bytes=sys.maxsize,
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)
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after.callback(engine.shutdown)
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# Keep token counts modest to reduce flakiness on slow test hardware.
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NUM_REQUESTS = 3
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NUM_EXPECTED_TOKENS = 64
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NUM_EXPECTED_TOKENS_LONG = 256
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REQUEST_IDS_TO_ABORT = [1]
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prompt = "Hello my name is Robert and "
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request_ids = [f"request-{i}" for i in range(NUM_REQUESTS)]
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# Create concurrent requests.
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tasks: list[asyncio.Task] = []
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for idx, request_id in enumerate(request_ids):
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max_tokens = NUM_EXPECTED_TOKENS_LONG if (idx in REQUEST_IDS_TO_ABORT) else NUM_EXPECTED_TOKENS
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tasks.append(asyncio.create_task(generate(engine, request_id, prompt, max_tokens)))
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# API server cancels requests when they disconnect.
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# Explicitly abort in the engine to avoid orphaned requests hanging.
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for idx in REQUEST_IDS_TO_ABORT:
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tasks[idx].cancel()
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await engine.abort(request_ids[idx])
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await asyncio.sleep(0.1)
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# Confirm the other requests are okay.
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for idx, task in enumerate(tasks):
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# Confirm that it was actually canceled.
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if idx in REQUEST_IDS_TO_ABORT:
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with pytest.raises((asyncio.CancelledError, GeneratorExit)):
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await asyncio.wait_for(task, timeout=60)
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else:
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# Otherwise, make sure the request was not impacted.
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num_generated_tokens, request_id = await asyncio.wait_for(task, timeout=180)
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expected_tokens = NUM_EXPECTED_TOKENS
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assert num_generated_tokens == expected_tokens, (
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f"{request_id} generated {num_generated_tokens} but expected {expected_tokens}"
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)
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# Confirm we can do another generation.
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request_id = f"request-{REQUEST_IDS_TO_ABORT[0]}"
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task = asyncio.create_task(generate(engine, request_id, prompt, NUM_EXPECTED_TOKENS))
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num_generated_tokens, request_id = await task
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assert num_generated_tokens == NUM_EXPECTED_TOKENS
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await asyncio.sleep(5)
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