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vllm-omni/tests/examples/online_serving/test_qwen3_omni.py
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b81e0a8abf [Test] Add example test cases for omni online (#1086)
Signed-off-by: wangyu31577 <wangyu31577@hundsun.com>
Signed-off-by: Hongsheng Liu <liuhongsheng4@huawei.com>
Signed-off-by: yenuo26 <410167048@qq.com>
Co-authored-by: wangyu31577 <wangyu31577@hundsun.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-02-09 20:08:46 +08:00

231 lines
8.0 KiB
Python

"""
Example Online tests for Qwen3-Omni model.
"""
import os
os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
import re
import subprocess
from pathlib import Path
import pytest
from tests.conftest import OmniServer, convert_audio_file_to_text, cosine_similarity_text
models = ["Qwen/Qwen3-Omni-30B-A3B-Instruct"]
stage_configs = [str(Path(__file__).parent.parent.parent / "e2e" / "stage_configs" / "qwen3_omni_ci.yaml")]
example_dir = str(Path(__file__).parent.parent.parent.parent / "examples" / "online_serving" / "qwen3_omni")
# Create parameter combinations for model and stage config
test_params = [(model, stage_config) for model in models for stage_config in stage_configs]
@pytest.fixture(scope="module")
def omni_server(request):
"""Start vLLM-Omni server as a subprocess with actual model weights.
Uses module scope so the server starts only once per test module..
Multi-stage initialization can take 10-20+ minutes.
"""
model, stage_config_path = request.param
print(f"Starting OmniServer with model: {model}")
print("This may take 10-20+ minutes for initialization...")
with OmniServer(
model, ["--stage-configs-path", stage_config_path, "--stage-init-timeout", "120"], port=8091
) as server:
print("OmniServer started successfully")
yield server
print("OmniServer stopped")
def run_cmd(command):
result = subprocess.run(
command,
capture_output=True,
text=True,
)
if result.returncode != 0:
print(f"STDERR: {result.stderr}")
raise subprocess.CalledProcessError(result.returncode, command)
all_output = result.stdout
print(f"All output:\n{all_output}")
return all_output
def extract_content_after_keyword(keywords, text):
matches = re.findall(rf"{keywords}\s*(.+)", text, re.DOTALL)
if not matches:
raise AssertionError(f"Keywords {keywords} not found in provided text output")
return matches[0]
@pytest.mark.parametrize("omni_server", test_params, indirect=True)
def test_send_multimodal_request_001(omni_server) -> None:
command = [
"python",
os.path.join(example_dir, "openai_chat_completion_client_for_multimodal_generation.py"),
"--query-type",
"use_image",
]
result = run_cmd(command)
text_content = extract_content_after_keyword("Chat completion output from text:", result)
# Verify text output same as audio output
audio_content = convert_audio_file_to_text(output_path="./audio_0.wav")
print(f"text content is: {text_content}")
print(f"audio content is: {audio_content}")
assert "cherry blossom" in text_content, "The output does not contain any of the keywords."
similarity = cosine_similarity_text(audio_content.lower(), text_content.lower())
print(f"similarity is: {similarity}")
assert similarity > 0.9, "The audio content is not same as the text"
# TODO: Verify the E2E latency after confirmation baseline.
@pytest.mark.parametrize("omni_server", test_params, indirect=True)
def test_send_multimodal_request_002(omni_server) -> None:
command = [
"python",
os.path.join(example_dir, "openai_chat_completion_client_for_multimodal_generation.py"),
"--query-type",
"use_video",
"--prompt",
"What are the main activities shown in this video?",
]
result = run_cmd(command)
text_content = extract_content_after_keyword("Chat completion output from text:", result)
# Verify text output same as audio output
audio_content = convert_audio_file_to_text(output_path="./audio_0.wav")
print(f"text content is: {text_content}")
print(f"audio content is: {audio_content}")
assert all(keyword in text_content for keyword in ["baby", "book"]), (
"The output does not contain any of the keywords."
)
similarity = cosine_similarity_text(audio_content.lower(), text_content.lower())
print(f"similarity is: {similarity}")
assert similarity > 0.9, "The audio content is not same as the text"
# TODO: Verify the E2E latency after confirmation baseline.
@pytest.mark.parametrize("omni_server", test_params, indirect=True)
def test_send_multimodal_request_003(omni_server) -> None:
command = ["bash", os.path.join(example_dir, "run_curl_multimodal_generation.sh"), "use_image"]
result = run_cmd(command)
text_content = extract_content_after_keyword("Output of request:", result)
# Verify text output same as audio output
print(f"text content is: {text_content}")
assert "cherry blossom" in text_content, "The output does not contain any of the keywords."
# TODO: Verify the E2E latency after confirmation baseline.
@pytest.mark.parametrize("omni_server", test_params, indirect=True)
def test_modality_control_001(omni_server) -> None:
command = [
"python",
os.path.join(example_dir, "openai_chat_completion_client_for_multimodal_generation.py"),
"--query-type",
"use_image",
"--modalities",
"text",
]
result = run_cmd(command)
text_content = extract_content_after_keyword("Chat completion output from text:", result)
# Verify text output
print(f"text content is: {text_content}")
assert "cherry blossom" in text_content, "The output does not contain any of the keywords."
# TODO: Verify the E2E latency after confirmation baseline.
@pytest.mark.parametrize("omni_server", test_params, indirect=True)
def test_modality_control_002(omni_server) -> None:
command = [
"python",
os.path.join(example_dir, "openai_chat_completion_client_for_multimodal_generation.py"),
"--query-type",
"use_image",
"--modalities",
"audio",
]
run_cmd(command)
# Verify text output same as audio output
audio_content = convert_audio_file_to_text(output_path="./audio_0.wav")
print(f"audio content is: {audio_content}")
assert "cherry blossom" in audio_content, "The output does not contain any of the keywords."
# TODO: Verify the E2E latency after confirmation baseline.
@pytest.mark.parametrize("omni_server", test_params, indirect=True)
def test_modality_control_003(omni_server) -> None:
command = [
"python",
os.path.join(example_dir, "openai_chat_completion_client_for_multimodal_generation.py"),
"--query-type",
"use_image",
"--modalities",
"audio,text",
]
result = run_cmd(command)
text_content = extract_content_after_keyword("Chat completion output from text:", result)
# Verify text output same as audio output
audio_content = convert_audio_file_to_text(output_path="./audio_0.wav")
print(f"text content is: {text_content}")
assert "cherry blossom" in audio_content, "The output does not contain any of the keywords."
print(f"audio content is: {audio_content}")
similarity = cosine_similarity_text(audio_content.lower(), text_content.lower())
print(f"similarity is: {similarity}")
assert similarity > 0.9, "The audio content is not same as the text"
# TODO: Verify the E2E latency after confirmation baseline.
@pytest.mark.parametrize("omni_server", test_params, indirect=True)
def test_stream_001(omni_server) -> None:
command = [
"python",
os.path.join(example_dir, "openai_chat_completion_client_for_multimodal_generation.py"),
"--query-type",
"use_image",
"--stream",
]
result = run_cmd(command)
text_content = extract_content_after_keyword("content:", result)
# Verify text output same as audio output
audio_content = convert_audio_file_to_text(output_path="./audio_0.wav")
print(f"text content is: {text_content}")
assert "cherry blossom" in audio_content, "The output does not contain any of the keywords."
print(f"audio content is: {audio_content}")
similarity = cosine_similarity_text(audio_content.lower(), text_content.lower())
print(f"similarity is: {similarity}")
assert similarity > 0.9, "The audio content is not same as the text"
# TODO: Verify the E2E latency after confirmation baseline.
# TODO: test local web ui