AliciaandHongsheng Liu
d3ea94309d
Signed-off-by: Alicia <115451386+congw729@users.noreply.github.com> Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
import subprocess
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from pathlib import Path
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import pytest
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from tests.conftest import OmniServer
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from tests.utils import hardware_test
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models = ["Qwen/Qwen3-Omni-30B-A3B-Instruct"]
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stage_configs = [str(Path(__file__).parent.parent / "e2e" / "stage_configs" / "qwen3_omni_ci.yaml")]
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# Create parameter combinations for model and stage config
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test_params = [(model, stage_config) for model in models for stage_config in stage_configs]
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@pytest.fixture(scope="module")
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def omni_server(request):
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"""Start vLLM-Omni server as a subprocess with actual model weights.
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Uses session scope so the server starts only once for the entire test session.
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Multi-stage initialization can take 10-20+ minutes.
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"""
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model, stage_config_path = request.param
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print(f"Starting OmniServer with model: {model}")
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print("This may take 10-20+ minutes for initialization...")
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with OmniServer(model, ["--stage-configs-path", stage_config_path, "--stage-init-timeout", "120"]) as server:
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print("OmniServer started successfully")
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yield server
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print("OmniServer stopped")
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@pytest.mark.core_model
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@pytest.mark.benchmark
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@hardware_test(res={"cuda": "H100"}, num_cards=2)
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@pytest.mark.parametrize("omni_server", test_params, indirect=True)
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def test_bench_serve_chat(omni_server):
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command = [
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"vllm",
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"bench",
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"serve",
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"--omni",
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"--model",
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omni_server.model,
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"--port",
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str(omni_server.port),
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"--dataset-name",
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"random",
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"--random-input-len",
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"32",
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"--random-output-len",
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"4",
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"--num-prompts",
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"5",
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"--endpoint",
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"/v1/chat/completions",
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"--backend",
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"openai-chat-omni",
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]
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result = subprocess.run(command, capture_output=True, text=True)
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print(result.stdout)
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print(result.stderr)
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assert result.returncode == 0, f"Benchmark failed: {result.stderr}"
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