[Entrypoint][Refactor] vLLM-Omni Entrypoint Refactoring (#1908)

Signed-off-by: yinpe <11810305@mail.sustech.edu.cn>
Signed-off-by: Peiqi Yin <yinpeiqi809@gmail.com>
Signed-off-by: yinpeiqi <yinpeiqi809@gmail.com>
Signed-off-by: wuhang <whlbx@hotmail.com>
Signed-off-by: linyueqian <linyueqian@outlook.com>
Signed-off-by: princepride <wangzhipeng628@gmail.com>
Signed-off-by: lishunyang <lishunyang12@163.com>
Signed-off-by: Chenguang ZHENG <645327136@qq.com>
Signed-off-by: Peiqi Yin <60515999+yinpeiqi@users.noreply.github.com>
Co-authored-by: yinpe <11810305@mail.sustech.edu.cn>
Co-authored-by: Peiqi Yin <yinpeiqi809@gmail.com>
Co-authored-by: wuhang <whlbx@hotmail.com>
Co-authored-by: Peiqi Yin <60515999+yinpeiqi@users.noreply.github.com>
Co-authored-by: linyueqian <linyueqian@outlook.com>
Co-authored-by: princepride <wangzhipeng628@gmail.com>
Co-authored-by: lishunyang <lishunyang12@163.com>
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authored and GitHub committed 2026-03-18 17:33:53 +08:00
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@@ -3,87 +3,51 @@
import pytest
from vllm_omni.entrypoints import utils as utils_module
from vllm_omni.entrypoints.async_omni import AsyncOmni
from vllm_omni.engine.async_omni_engine import AsyncOmniEngine
pytestmark = [pytest.mark.core_model, pytest.mark.cpu]
MODEL = "riverclouds/qwen_image_random"
def test_default_stage_config_includes_cache_backend():
"""Ensure cache knobs survive the default diffusion-stage builder."""
stage_cfg = AsyncOmniEngine._create_default_diffusion_stage_cfg(
{
"cache_backend": "cache_dit",
"cache_config": '{"Fn_compute_blocks": 2}',
"vae_use_slicing": True,
"ulysses_degree": 2,
}
)[0]
engine_args = stage_cfg["engine_args"]
assert stage_cfg["stage_type"] == "diffusion"
assert engine_args["cache_backend"] == "cache_dit"
assert engine_args["cache_config"]["Fn_compute_blocks"] == 2
assert engine_args["vae_use_slicing"] is True
assert engine_args["parallel_config"].ulysses_degree == 2
assert engine_args["model_stage"] == "diffusion"
def _noop_inline_engine(self, model, stage_config, kwargs):
self._inline_diffusion = False
self._inline_engine = None
def test_default_cache_config_used_when_missing():
"""Ensure default cache_config is synthesized when only backend is given."""
stage_cfg = AsyncOmniEngine._create_default_diffusion_stage_cfg(
{
"cache_backend": "cache_dit",
}
)[0]
def test_default_stage_config_includes_cache_backend(monkeypatch):
"""Ensure cache_backend/cache_config are preserved in default diffusion stage."""
monkeypatch.setattr(utils_module, "load_stage_configs_from_model", lambda model, base_engine_args=None: [])
monkeypatch.setattr(utils_module, "resolve_model_config_path", lambda model: None)
monkeypatch.setattr(AsyncOmni, "_start_stages", lambda self, model: None)
monkeypatch.setattr(AsyncOmni, "_wait_for_stages_ready", lambda self, timeout=0: None)
monkeypatch.setattr(AsyncOmni, "_init_inline_diffusion_engine", _noop_inline_engine)
omni = AsyncOmni(
model=MODEL,
cache_backend="cache_dit",
cache_config='{"Fn_compute_blocks": 2}',
vae_use_slicing=True,
ulysses_degree=2,
)
stage_cfg = omni.stage_configs[0]
engine_args = stage_cfg.engine_args
assert engine_args.get("cache_backend") == "cache_dit"
cache_config = engine_args.get("cache_config")
assert cache_config["Fn_compute_blocks"] == 2
assert engine_args.get("vae_use_slicing") is True
parallel_config = engine_args.get("parallel_config")
if hasattr(parallel_config, "get"):
ulysses_degree = parallel_config.get("ulysses_degree")
else:
ulysses_degree = getattr(parallel_config, "ulysses_degree", None)
assert ulysses_degree == 2
def test_default_cache_config_used_when_missing(monkeypatch):
"""Ensure default cache_config is applied when cache_backend is set."""
monkeypatch.setattr(utils_module, "load_stage_configs_from_model", lambda model, base_engine_args=None: [])
monkeypatch.setattr(utils_module, "resolve_model_config_path", lambda model: None)
monkeypatch.setattr(AsyncOmni, "_start_stages", lambda self, model: None)
monkeypatch.setattr(AsyncOmni, "_wait_for_stages_ready", lambda self, timeout=0: None)
monkeypatch.setattr(AsyncOmni, "_init_inline_diffusion_engine", _noop_inline_engine)
omni = AsyncOmni(
model=MODEL,
cache_backend="cache_dit",
)
engine_args = omni.stage_configs[0].engine_args
cache_config = engine_args.get("cache_config")
cache_config = stage_cfg["engine_args"]["cache_config"]
assert cache_config is not None
assert cache_config["Fn_compute_blocks"] == 1
def test_default_stage_devices_from_sequence_parallel(monkeypatch):
"""Ensure devices list reflects sequence parallel size when no parallel_config is provided."""
monkeypatch.setattr(utils_module, "load_stage_configs_from_model", lambda model, base_engine_args=None: [])
monkeypatch.setattr(utils_module, "resolve_model_config_path", lambda model: None)
monkeypatch.setattr(AsyncOmni, "_start_stages", lambda self, model: None)
monkeypatch.setattr(AsyncOmni, "_wait_for_stages_ready", lambda self, timeout=0: None)
monkeypatch.setattr(AsyncOmni, "_init_inline_diffusion_engine", _noop_inline_engine)
def test_default_stage_devices_from_sequence_parallel():
"""Ensure runtime devices reflect computed diffusion world size."""
stage_cfg = AsyncOmniEngine._create_default_diffusion_stage_cfg(
{
"ulysses_degree": 2,
"ring_degree": 2,
}
)[0]
omni = AsyncOmni(
model=MODEL,
ulysses_degree=2,
ring_degree=2,
)
stage_cfg = omni.stage_configs[0]
runtime = stage_cfg.runtime
if hasattr(runtime, "get"):
devices = runtime.get("devices")
else:
devices = getattr(runtime, "devices", None)
assert devices == "0,1,2,3"
assert stage_cfg["runtime"]["devices"] == "0,1,2,3"