[Feat] DiffusionEngine Support async batch infer (#2729)

Signed-off-by: Semmer <semmer@live.cn>
Signed-off-by: jader <yjader@foxmail.com>
Signed-off-by: asukaqaq-s <1311722138@qq.com>
Co-authored-by: asukaqaq-s <1311722138@qq.com>
Co-authored-by: jader <yjader@foxmail.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
Co-authored-by: Gao Han <hgaoaf@connect.ust.hk>
This commit is contained in:
authored and GitHub committed 2026-05-06 09:47:13 +12:00
1 parent 2b85474c23
commit e49fbd8a2d
32 files changed
+1951 -190

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+48 -8
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@@ -4,6 +4,7 @@
from __future__ import annotations
from collections import deque
from dataclasses import fields
from vllm.logger import init_logger
@@ -15,11 +16,23 @@ from vllm_omni.diffusion.sched.interface import (
DiffusionRequestStatus,
DiffusionSchedulerOutput,
NewRequestData,
SamplingParamsKey,
SchedulerInterface,
)
logger = init_logger(__name__)
_KEY_FIELD_NAMES = frozenset(f.name for f in fields(SamplingParamsKey))
def get_sampling_params_key(request: OmniDiffusionRequest) -> SamplingParamsKey | None:
"""Build a batch-compatibility key from the request's sampling params."""
if len(request.prompts) != 1:
return None
sampling = request.sampling_params
return SamplingParamsKey(**{name: getattr(sampling, name) for name in _KEY_FIELD_NAMES})
class _BaseScheduler(SchedulerInterface):
"""Shared queue/state bookkeeping for diffusion schedulers."""
@@ -31,8 +44,9 @@ class _BaseScheduler(SchedulerInterface):
self._step_id: int = 0
self._waiting: deque[str] = deque()
self._running: list[str] = []
self._running_sampling_params_key: SamplingParamsKey | None = None
self._finished_req_ids: set[str] = set()
self._max_batch_size: int = 1
self.max_num_running_reqs: int = 1
def initialize(self, od_config: OmniDiffusionConfig) -> None:
self.od_config = od_config
@@ -41,11 +55,13 @@ class _BaseScheduler(SchedulerInterface):
self._step_id = 0
self._waiting.clear()
self._running.clear()
self._running_sampling_params_key = None
self._finished_req_ids.clear()
# The current DiffusionEngine execution mode does not support real
# request batching well, so we keep this fixed at 1 for now.
# TODO: Add support for multiple concurrent requests
self.max_num_running_reqs = 1
max_num_seqs = getattr(od_config, "max_num_seqs", 1)
try:
self.max_num_running_reqs = max(1, int(max_num_seqs))
except (TypeError, ValueError):
self.max_num_running_reqs = 1
self._reset_scheduler_state()
def add_request(self, request: OmniDiffusionRequest) -> str:
@@ -53,7 +69,7 @@ class _BaseScheduler(SchedulerInterface):
return self._add_request_with_sched_req_id(sched_req_id, request)
def _add_request_with_sched_req_id(self, sched_req_id: str, request: OmniDiffusionRequest) -> str:
state = DiffusionRequestState(sched_req_id=sched_req_id, req=request)
state = self._make_request_state(sched_req_id, request)
self._request_states[sched_req_id] = state
self._register_request_ids(request.request_ids, sched_req_id)
self._waiting.append(sched_req_id)
@@ -82,6 +98,8 @@ class _BaseScheduler(SchedulerInterface):
self._waiting.popleft()
was_new_request = state.status == DiffusionRequestStatus.WAITING
if not self._running:
self._running_sampling_params_key = state.sampling_params_key
state.status = DiffusionRequestStatus.RUNNING
self._running.append(sched_req_id)
if was_new_request:
@@ -124,6 +142,8 @@ class _BaseScheduler(SchedulerInterface):
return False
if sched_req_id in self._running:
self._running.remove(sched_req_id)
if not self._running:
self._running_sampling_params_key = None
self._waiting.appendleft(sched_req_id)
self._request_states[sched_req_id].status = DiffusionRequestStatus.PREEMPTED
return True
@@ -140,6 +160,7 @@ class _BaseScheduler(SchedulerInterface):
self._request_id_to_sched_req_id.clear()
self._waiting.clear()
self._running.clear()
self._running_sampling_params_key = None
self._finished_req_ids.clear()
self._reset_scheduler_state()
@@ -169,6 +190,8 @@ class _BaseScheduler(SchedulerInterface):
if running_to_remove:
self._running = [sched_req_id for sched_req_id in self._running if sched_req_id not in running_to_remove]
if not self._running:
self._running_sampling_params_key = None
if waiting_to_remove:
self._waiting = deque(
sched_req_id for sched_req_id in self._waiting if sched_req_id not in waiting_to_remove
@@ -208,9 +231,26 @@ class _BaseScheduler(SchedulerInterface):
def _pop_extra_request_state(self, sched_req_id: str) -> None:
"""Remove subclass-owned per-request state before popping request state."""
def _make_request_state(self, sched_req_id: str, request: OmniDiffusionRequest) -> DiffusionRequestState:
return DiffusionRequestState(
sched_req_id=sched_req_id,
req=request,
sampling_params_key=get_sampling_params_key(request),
)
def _can_schedule_waiting(self, state: DiffusionRequestState) -> bool:
del state
return True
if not self._running:
return True
current_key = self._current_sampling_params_key()
return current_key is not None and current_key == state.sampling_params_key
def _current_sampling_params_key(self) -> SamplingParamsKey | None:
if self._running_sampling_params_key is not None or not self._running:
return self._running_sampling_params_key
state = self._request_states.get(self._running[0])
self._running_sampling_params_key = None if state is None else state.sampling_params_key
return self._running_sampling_params_key
def _register_request_ids(self, request_ids: list[str], sched_req_id: str) -> None:
for request_id in request_ids: