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