[Refact] Refactor diffusion output streaming (#5166)

Signed-off-by: bjf-frz <frz123db@gmail.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
This commit is contained in:
bjf-frzandHongsheng Liu authored and GitHub committed 2026-07-23 10:06:08 +08:00
1 parent 7d5376f215
commit be667a8067
27 files changed
+628 -394

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@@ -5,15 +5,17 @@ import asyncio
import queue
import threading
from types import SimpleNamespace
from unittest.mock import Mock
from unittest.mock import Mock, patch
import pytest
from vllm_omni.diffusion import diffusion_engine as diffusion_engine_module
from vllm_omni.diffusion.data import DiffusionOutput
from vllm_omni.diffusion.diffusion_engine import DiffusionEngine
from vllm_omni.diffusion.diffusion_engine import DiffusionEngine, DiffusionExecutionMode
from vllm_omni.diffusion.request import OmniDiffusionRequest
from vllm_omni.diffusion.sched import DiffusionRequestStatus, RequestScheduler
from vllm_omni.inputs.data import OmniDiffusionSamplingParams
from vllm_omni.outputs import OmniRequestOutput
pytestmark = [pytest.mark.core_model, pytest.mark.cpu, pytest.mark.diffusion]
@@ -33,8 +35,7 @@ def _make_engine() -> DiffusionEngine:
engine.executor = SimpleNamespace(shutdown=Mock())
engine._rpc_lock = threading.RLock()
engine._cv = threading.Condition(engine._rpc_lock)
engine._out_queue = {}
engine._out_queue_streaming = {}
engine._out_streams = {}
engine._closed = False
engine._shutdown_complete = False
engine.abort_queue = queue.Queue()
@@ -44,28 +45,13 @@ def _make_engine() -> DiffusionEngine:
return engine
def test_close_completes_pending_async_waiters() -> None:
engine = _make_engine()
event_loop = asyncio.new_event_loop()
try:
future = event_loop.create_future()
engine._out_queue["pending-req"] = future
engine.close()
assert future.done()
assert future.result().error == "DiffusionEngine is closed."
finally:
event_loop.close()
def test_close_completes_pending_streaming_waiters() -> None:
def test_close_completes_pending_output_streams() -> None:
engine = _make_engine()
event_loop = asyncio.new_event_loop()
try:
engine.main_loop = event_loop
queue: asyncio.Queue[DiffusionOutput] = asyncio.Queue()
engine._out_queue_streaming["pending-stream"] = queue
engine._out_streams["pending-stream"] = queue
engine.close()
@@ -76,21 +62,101 @@ def test_close_completes_pending_streaming_waiters() -> None:
event_loop.close()
def test_handle_finished_requests_ignores_already_drained_waiter() -> None:
def test_emit_finished_outputs_finalizes_already_drained_waiter() -> None:
class RacingOutQueue(dict):
def __contains__(self, key):
return True
def pop(self, key, default=None):
def get(self, key, default=None):
return default
engine = _make_engine()
engine._out_queue = RacingOutQueue()
engine._finalize_finished_request = Mock(side_effect=AssertionError("should not finalize drained waiters"))
request_id = engine.scheduler.add_request(_make_request("pending-req"))
engine.scheduler.finish_requests(request_id, DiffusionRequestStatus.FINISHED_ABORTED)
engine._out_streams = RacingOutQueue()
engine._handle_finished_requests({"pending-req"})
engine._emit_finished_outputs({request_id})
engine._finalize_finished_request.assert_not_called()
assert engine.scheduler.get_request_state(request_id) is None
def test_emit_step_outputs_finalizes_finished_request_without_stream() -> None:
engine = _make_engine()
engine.execution_mode = DiffusionExecutionMode.STEP_BATCH
request_id = engine.scheduler.add_request(_make_request("step-drained"))
engine.scheduler.finish_requests(request_id, DiffusionRequestStatus.FINISHED_ABORTED)
engine._emit_outputs({request_id}, [request_id], SimpleNamespace(get_request_output=lambda _request_id: None))
assert engine.scheduler.get_request_state(request_id) is None
def test_init_accepts_custom_scheduler(monkeypatch: pytest.MonkeyPatch) -> None:
od_config = SimpleNamespace(
custom_pipeline_args=None,
model_class_name="CustomSchedulerPipeline",
streaming_output=False,
)
custom_scheduler = RequestScheduler()
fake_executor = SimpleNamespace(
execute_request=Mock(),
execute_batch=Mock(),
execute_step=Mock(),
)
monkeypatch.setattr(
"vllm_omni.diffusion.diffusion_engine.get_diffusion_post_process_func",
lambda *args, **kwargs: None,
)
monkeypatch.setattr(
"vllm_omni.diffusion.diffusion_engine.get_diffusion_pre_process_func",
lambda *args, **kwargs: None,
)
monkeypatch.setattr(
"vllm_omni.diffusion.diffusion_engine.DiffusionExecutor.get_class",
lambda *args, **kwargs: Mock(return_value=fake_executor),
)
monkeypatch.setattr(
"vllm_omni.diffusion.diffusion_engine.supports_request_batch",
lambda *args, **kwargs: False,
)
engine = DiffusionEngine(od_config, scheduler=custom_scheduler)
assert engine.scheduler is custom_scheduler
@pytest.mark.asyncio
async def test_step_compatibility_wrapper_returns_final_batch() -> None:
engine = _make_engine()
first = [OmniRequestOutput.from_diffusion(request_id="req", images=[], finished=False)]
final = [OmniRequestOutput.from_diffusion(request_id="req", images=[], finished=True)]
async def _step_streaming(_request):
yield first
yield final
engine.step_streaming = _step_streaming # type: ignore[method-assign]
with patch.object(diffusion_engine_module.logger, "warning_once") as warning_once:
output = await engine.step(_make_request("req"))
assert output is final
warning_once.assert_called_once()
@pytest.mark.asyncio
async def test_async_wait_compatibility_wrapper_returns_final_output() -> None:
engine = _make_engine()
first = DiffusionOutput(output="chunk", finished=False)
final = DiffusionOutput(output="final", finished=True)
async def _stream_response(_request):
yield first
yield final
engine.async_add_req_and_stream_response = _stream_response # type: ignore[method-assign]
with patch.object(diffusion_engine_module.logger, "warning_once") as warning_once:
output = await engine.async_add_req_and_wait_for_response(_make_request("req"))
assert output is final
warning_once.assert_called_once()
def test_abort_request_id_aborts_scheduler_request() -> None: