[Feat][Perf][AuK]Support Online Serving and DiT CUDAGraph (#7469)

Signed-off-by: boatman <109857087+sphinxkkkbc@users.noreply.github.com>
Signed-off-by: Yueqian Lin <linyueqian@outlook.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
Co-authored-by: Yueqian Lin <linyueqian@outlook.com>
This commit is contained in:
authored and GitHub committed 2026-09-30 00:18:38 +00:00
1 parent 3a28882946
commit 35cf6ac355
22 files changed
+1473 -38

No files matched your search

+87
View File
@@ -1,3 +1,6 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
"""Tests for the universal benchmarks/tts/bench_tts.py CLI."""
from __future__ import annotations
@@ -51,6 +54,73 @@ def test_load_model_configs(model_configs_path: Path) -> None:
assert configs["test/ModelA"]["supported_tasks"] == ["voice_clone", "default_voice"]
@pytest.mark.parametrize("model", ["tencent/AuK", "tencent/AuK-Flash"])
@pytest.mark.parametrize("task", ["default_voice", "voice_clone"])
def test_auk_benchmark_duration_and_local_bundle(model, task):
config = bench_tts.load_model_configs(bench_tts._DEFAULT_MODEL_CONFIGS)[model]
cmd = bench_tts.build_bench_args(
host="localhost",
port=8000,
model=model,
task=task,
model_cfg=config,
locale="en",
num_prompts=20,
concurrency=8,
dataset_path="/data/seed-tts",
wer_eval=False,
output_dir=None,
result_filename=None,
extra_cli_args=[],
served_model_name="/models/auk",
duration_seconds=3.5,
request_seed=7,
)
assert cmd[cmd.index("--model") + 1] == "/models/auk"
body = json.loads(cmd[cmd.index("--extra-body") + 1])
assert body == {
"voice": "default",
"duration_seconds": 3.5,
"seed": 7,
"task_type": "CustomVoice" if task == "default_voice" else "Base",
}
assert config["task_extra_body"][task]["duration_seconds"] == 5.0
@pytest.mark.parametrize(
("task", "expected_task_type"),
[
("default_voice", "CustomVoice"),
("voice_clone", "Base"),
],
)
def test_auk_task_type_survives_served_model_alias(task, expected_task_type):
model = "tencent/AuK-Flash"
served_model = "models/flash"
config = bench_tts.load_model_configs(bench_tts._DEFAULT_MODEL_CONFIGS)[model]
cmd = bench_tts.build_bench_args(
host="localhost",
port=8000,
model=model,
task=task,
model_cfg=config,
locale="en",
num_prompts=1,
concurrency=1,
dataset_path="/data/seed-tts",
wer_eval=False,
output_dir=None,
result_filename=None,
extra_cli_args=[],
served_model_name=served_model,
)
assert cmd[cmd.index("--model") + 1] == served_model
extra_body = json.loads(cmd[cmd.index("--extra-body") + 1])
assert extra_body["task_type"] == expected_task_type
assert "_vllm_omni_benchmark_model" not in extra_body
def test_indextts25_is_registered_in_shared_model_configs() -> None:
config_path = Path(bench_tts.__file__).with_name("model_configs.yaml")
config = bench_tts.load_model_configs(config_path)["IndexTeam/IndexTTS-2.5"]
@@ -173,3 +243,20 @@ def test_unsupported_task_exits(model_configs_path: Path, capsys: pytest.Capture
)
with pytest.raises(SystemExit):
bench_tts.main()
def test_summary_table_includes_task_type(capsys: pytest.CaptureFixture) -> None:
bench_tts.print_summary_table(
[
{
"_task": "voice_clone",
"_task_type": "Base",
"_concurrency": 1,
}
]
)
output = capsys.readouterr().out
assert "Task Type" in output
assert "voice_clone" in output
assert "Base" in output