[Scheduler] Align WAR fences with CUDA graph metadata reads (#33587)

This commit is contained in:
Jialin Ouyang
2026-08-05 13:52:20 -07:00
committed by GitHub
parent ea65f8ddc9
commit 717a559f02
13 changed files with 509 additions and 24 deletions
@@ -0,0 +1,169 @@
import contextlib
from types import SimpleNamespace
import pytest
import torch
from sglang.srt.model_executor.forward_batch_info import ForwardMode, PPProxyTensors
from sglang.srt.model_executor.runner.decode_cuda_graph_runner import (
DecodeCudaGraphRunner,
)
from sglang.srt.model_executor.runner.shape_key import ShapeKey
from sglang.srt.model_executor.runner_utils import WarReadDonePolicy
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=1, suite="base-a-test-cpu")
class _SpecAlgorithm:
def __init__(self, target_verify_war: bool = False):
self._target_verify_war = target_verify_war
def supports_target_verify_war_read_done(self) -> bool:
return self._target_verify_war
def _attn_backend(*, breakable_metadata=False):
return SimpleNamespace(
use_captured_forward_metadata_for_breakable_cuda_graph=breakable_metadata,
)
def _runner(*, target_verify_war: bool = False, planted: bool = False):
runner = DecodeCudaGraphRunner.__new__(DecodeCudaGraphRunner)
runner.model_runner = SimpleNamespace(
spec_algorithm=_SpecAlgorithm(target_verify_war),
device_timer=None,
is_draft_worker=False,
war_read_done_event=None,
war_fastpath_read_done_event=None,
)
runner._war_read_done_node_planted = planted
return runner
def test_war_read_done_policy():
# Planted node: the graph re-arms it every replay.
assert (
_runner(planted=True)._war_read_done_policy(_attn_backend(), ForwardMode.DECODE)
is WarReadDonePolicy.IN_GRAPH
)
# No node, snapshot backend: all shared reads finish before launch.
assert (
_runner()._war_read_done_policy(_attn_backend(), ForwardMode.DECODE)
is WarReadDonePolicy.PRE_REPLAY
)
# Unrelated modes never publish from the decode graph runner.
assert (
_runner(planted=True)._war_read_done_policy(_attn_backend(), ForwardMode.EXTEND)
is WarReadDonePolicy.NONE
)
# Backend placement cannot opt an unsupported algorithm into publication.
assert (
_runner(planted=True)._war_read_done_policy(
_attn_backend(breakable_metadata=True), ForwardMode.TARGET_VERIFY
)
is WarReadDonePolicy.NONE
)
# Captured-metadata verify keeps reading throughout the graph, even planted.
assert (
_runner(target_verify_war=True, planted=True)._war_read_done_policy(
_attn_backend(breakable_metadata=True), ForwardMode.TARGET_VERIFY
)
is WarReadDonePolicy.POST_REPLAY
)
def test_publish_war_read_done():
runner = _runner()
graph_event = object()
runner.model_runner.war_read_done_event = graph_event
runner._publish_war_read_done(in_graph=True)
assert runner.model_runner.war_fastpath_read_done_event is graph_event
recorded = []
class Event:
def record(self):
recorded.append(self)
runner.device_module = SimpleNamespace(Event=Event)
runner._publish_war_read_done(in_graph=False)
published = runner.model_runner.war_fastpath_read_done_event
assert isinstance(published, Event) and recorded == [published]
def _execute_harness(runner, calls, mode=ForwardMode.DECODE):
key = ShapeKey(size=1)
output = PPProxyTensors({"hidden_states": torch.ones(1, 1)})
runner.ragged_verify_mode = False
runner.bs = 1
runner.load_batch = lambda *_: setattr(runner, "_replay_graph_key", key)
class Backend:
def replay_session(self):
return contextlib.nullcontext()
def replay(self, replay_key, _forward_batch):
assert replay_key == key
calls.append("replay")
return output
runner.backend = Backend()
return SimpleNamespace(forward_mode=mode, batch_size=1)
def test_execute_publishes_the_planted_graph_event():
runner = _runner(planted=True)
graph_event = object()
runner.model_runner.war_read_done_event = graph_event
runner.attn_backend = _attn_backend()
runner.device_module = SimpleNamespace(
Event=lambda: (_ for _ in ()).throw(
AssertionError("execute must reuse the graph-recorded event")
)
)
calls = []
forward_batch = _execute_harness(runner, calls)
result = runner.execute(forward_batch)
assert result.tensors["hidden_states"].shape == (1, 1)
assert runner.model_runner.war_fastpath_read_done_event is graph_event
def test_execute_records_pre_replay_for_snapshot_backends():
runner = _runner()
runner.attn_backend = _attn_backend()
calls = []
class Event:
def record(self):
calls.append("record")
runner.device_module = SimpleNamespace(Event=Event)
forward_batch = _execute_harness(runner, calls)
runner.execute(forward_batch)
# The eager record lands before the replay so the fence stays truthful.
assert calls == ["record", "replay"]
assert isinstance(runner.model_runner.war_fastpath_read_done_event, Event)
@pytest.mark.parametrize("supported", [False, True])
def test_target_verify_requires_war_capability(supported):
runner = _runner(target_verify_war=supported, planted=True)
graph_event = object()
runner.model_runner.war_read_done_event = graph_event
runner.attn_backend = _attn_backend()
runner.device_module = SimpleNamespace(Event=lambda: None)
runner.execute(_execute_harness(runner, [], ForwardMode.TARGET_VERIFY))
expected = graph_event if supported else None
assert runner.model_runner.war_fastpath_read_done_event is expected
if __name__ == "__main__":
raise SystemExit(pytest.main([__file__, "-v"]))
@@ -0,0 +1,71 @@
from types import SimpleNamespace
import pytest
from sglang.srt.environ import envs
from sglang.srt.model_executor.forward_batch_info import ForwardMode
from sglang.srt.model_executor.runner_utils import maybe_publish_prefill_war_read_done
from sglang.srt.speculative.spec_info import SpeculativeAlgorithm
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=1, suite="base-a-test-cpu")
class _Event:
def __init__(self):
self.recorded = False
def record(self):
self.recorded = True
def _model_runner(*, spec_algorithm=SpeculativeAlgorithm.NONE, compliant=True):
return SimpleNamespace(
spec_algorithm=spec_algorithm,
attn_backend=SimpleNamespace(
prefill_shared_reads_end_at_metadata_init=compliant
),
war_fastpath_read_done_event=None,
)
_DEVICE_MODULE = SimpleNamespace(Event=_Event)
def _batch(mode=ForwardMode.EXTEND):
return SimpleNamespace(forward_mode=mode)
def test_publishes_recorded_event_when_enabled():
runner = _model_runner()
with envs.SGLANG_ENABLE_PREFILL_WAR_READ_DONE.override(True):
maybe_publish_prefill_war_read_done(runner, _batch(), _DEVICE_MODULE)
published = runner.war_fastpath_read_done_event
assert isinstance(published, _Event) and published.recorded
def test_disabled_when_flag_is_false():
runner = _model_runner()
with envs.SGLANG_ENABLE_PREFILL_WAR_READ_DONE.override(False):
maybe_publish_prefill_war_read_done(runner, _batch(), _DEVICE_MODULE)
assert runner.war_fastpath_read_done_event is None
def test_gates_exclude_non_prefill_unsupported_algorithm_and_noncompliant_backend():
with envs.SGLANG_ENABLE_PREFILL_WAR_READ_DONE.override(True):
for runner, batch in (
# Verify/mixed/decode publish through the decode graph runner.
(_model_runner(), _batch(ForwardMode.TARGET_VERIFY)),
(_model_runner(), _batch(ForwardMode.MIXED)),
(_model_runner(), _batch(ForwardMode.DECODE)),
# The algorithm has a later prefill reader or unverified ownership.
(_model_runner(spec_algorithm=SpeculativeAlgorithm.EAGLE), _batch()),
# Backend has not declared metadata-init compliance.
(_model_runner(compliant=False), _batch()),
):
maybe_publish_prefill_war_read_done(runner, batch, _DEVICE_MODULE)
assert runner.war_fastpath_read_done_event is None
if __name__ == "__main__":
raise SystemExit(pytest.main([__file__, "-v"]))