[misc] Rename the WAR read-done fastpath to shared-read-done (#34916)
This commit is contained in:
+136
@@ -0,0 +1,136 @@
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import contextlib
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from types import SimpleNamespace
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import pytest
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import torch
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from sglang.srt.layers.attention.base_attn_backend import SharedReadBoundary
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from sglang.srt.model_executor.forward_batch_info import ForwardMode, PPProxyTensors
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from sglang.srt.model_executor.runner.decode_cuda_graph_runner import (
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DecodeCudaGraphRunner,
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)
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from sglang.srt.model_executor.runner.shape_key import ShapeKey
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from sglang.test.ci.ci_register import register_cpu_ci
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register_cpu_ci(est_time=1, suite="base-a-test-cpu")
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class _SpecAlgorithm:
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def __init__(self, target_verify_war: bool = False):
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self._target_verify_war = target_verify_war
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def is_last_shared_read_phase(self, forward_mode) -> bool:
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return self._target_verify_war and forward_mode.is_target_verify()
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def _attn_backend(boundary=SharedReadBoundary.IN_REPLAY):
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"""Backend stub declaring one fixed read-end boundary for every mode."""
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return SimpleNamespace(shared_read_boundary=lambda _forward_mode: boundary)
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def _runner(*, target_verify_war: bool = False, has_marker: bool = False):
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runner = DecodeCudaGraphRunner.__new__(DecodeCudaGraphRunner)
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runner.model_runner = SimpleNamespace(
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spec_algorithm=_SpecAlgorithm(target_verify_war),
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device_timer=None,
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is_draft_worker=False,
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shared_read_done_event=None,
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)
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runner.in_graph_metadata_prep_done = object() if has_marker else None
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return runner
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def test_unrelated_modes_never_publish():
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# This runner owns the fence for decode / target verify only; every other
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# mode stays on the coarse wait, even with a marker available.
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assert (
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_runner(has_marker=True)._resolve_shared_read_boundary(
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_attn_backend(), ForwardMode.EXTEND
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)
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is SharedReadBoundary.UNKNOWN
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)
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def test_post_replay_declaration_is_not_advanced():
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# A backend that keeps reading shared state across the whole graph declares
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# POST_REPLAY. Having an in-graph marker must not pull the fence earlier.
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assert (
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_runner(target_verify_war=True, has_marker=True)._resolve_shared_read_boundary(
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_attn_backend(SharedReadBoundary.POST_REPLAY), ForwardMode.TARGET_VERIFY
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)
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is SharedReadBoundary.POST_REPLAY
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)
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def _execute_harness(runner, calls, mode=ForwardMode.DECODE):
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key = ShapeKey(size=1)
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output = PPProxyTensors({"hidden_states": torch.ones(1, 1)})
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runner.ragged_verify_mode = False
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runner.bs = 1
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runner.load_batch = lambda *_: setattr(runner, "_replay_graph_key", key)
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class Backend:
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def replay_session(self):
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return contextlib.nullcontext()
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def replay(self, replay_key, _forward_batch):
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assert replay_key == key
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calls.append("replay")
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return output
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runner.backend = Backend()
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return SimpleNamespace(forward_mode=mode, batch_size=1)
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def test_execute_publishes_the_in_graph_marker():
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runner = _runner(has_marker=True)
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marker = runner.in_graph_metadata_prep_done
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runner.attn_backend = _attn_backend()
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runner.device_module = SimpleNamespace(
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Event=lambda: (_ for _ in ()).throw(
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AssertionError("execute must reuse the graph-recorded event")
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)
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)
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calls = []
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forward_batch = _execute_harness(runner, calls)
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result = runner.execute(forward_batch)
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assert result.tensors["hidden_states"].shape == (1, 1)
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assert runner.model_runner.shared_read_done_event is marker
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def test_execute_falls_back_to_pre_replay_without_marker():
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runner = _runner()
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runner.attn_backend = _attn_backend()
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calls = []
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class Event:
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def record(self):
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calls.append("record")
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runner.device_module = SimpleNamespace(Event=Event)
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forward_batch = _execute_harness(runner, calls)
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runner.execute(forward_batch)
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# The eager record lands before the replay so the fence stays truthful.
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assert calls == ["record", "replay"]
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assert isinstance(runner.model_runner.shared_read_done_event, Event)
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@pytest.mark.parametrize("supported", [False, True])
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def test_target_verify_requires_war_capability(supported):
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runner = _runner(target_verify_war=supported, has_marker=True)
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marker = runner.in_graph_metadata_prep_done
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runner.attn_backend = _attn_backend()
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runner.device_module = SimpleNamespace(Event=lambda: None)
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runner.execute(_execute_harness(runner, [], ForwardMode.TARGET_VERIFY))
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expected = marker if supported else None
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assert runner.model_runner.shared_read_done_event is expected
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if __name__ == "__main__":
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raise SystemExit(pytest.main([__file__, "-v"]))
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@@ -1,174 +0,0 @@
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import contextlib
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from types import SimpleNamespace
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import pytest
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import torch
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from sglang.srt.layers.attention.base_attn_backend import SharedReadBoundary
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from sglang.srt.model_executor.forward_batch_info import ForwardMode, PPProxyTensors
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from sglang.srt.model_executor.runner.decode_cuda_graph_runner import (
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DecodeCudaGraphRunner,
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)
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from sglang.srt.model_executor.runner.shape_key import ShapeKey
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from sglang.test.ci.ci_register import register_cpu_ci
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register_cpu_ci(est_time=1, suite="base-a-test-cpu")
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class _SpecAlgorithm:
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def __init__(self, target_verify_war: bool = False):
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self._target_verify_war = target_verify_war
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def is_war_publish_phase(self, forward_mode) -> bool:
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return self._target_verify_war and forward_mode.is_target_verify()
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def _attn_backend(*, breakable_metadata=False):
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def shared_read_boundary(forward_mode):
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if breakable_metadata and forward_mode.is_target_verify():
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return SharedReadBoundary.POST_REPLAY
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if forward_mode.is_decode() or forward_mode.is_target_verify():
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return SharedReadBoundary.IN_REPLAY
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return SharedReadBoundary.UNKNOWN
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return SimpleNamespace(shared_read_boundary=shared_read_boundary)
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def _runner(*, target_verify_war: bool = False, planted: bool = False):
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runner = DecodeCudaGraphRunner.__new__(DecodeCudaGraphRunner)
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runner.model_runner = SimpleNamespace(
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spec_algorithm=_SpecAlgorithm(target_verify_war),
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device_timer=None,
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is_draft_worker=False,
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war_read_done_event=None,
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war_fastpath_read_done_event=None,
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)
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runner._war_read_done_node_planted = planted
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return runner
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def test_war_read_done_record():
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# Planted node: the graph re-arms it every replay.
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assert (
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_runner(planted=True)._war_read_done_record(_attn_backend(), ForwardMode.DECODE)
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is SharedReadBoundary.IN_REPLAY
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)
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# No planted node: fall back to a pre-replay record.
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assert (
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_runner()._war_read_done_record(_attn_backend(), ForwardMode.DECODE)
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is SharedReadBoundary.PRE_REPLAY
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)
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# Unrelated modes never publish from the decode graph runner.
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assert (
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_runner(planted=True)._war_read_done_record(_attn_backend(), ForwardMode.EXTEND)
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is SharedReadBoundary.UNKNOWN
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)
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# The algorithm gate precedes the backend declaration.
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assert (
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_runner(planted=True)._war_read_done_record(
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_attn_backend(breakable_metadata=True), ForwardMode.TARGET_VERIFY
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)
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is SharedReadBoundary.UNKNOWN
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)
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# Captured-metadata verify keeps reading throughout the graph, even planted.
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assert (
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_runner(target_verify_war=True, planted=True)._war_read_done_record(
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_attn_backend(breakable_metadata=True), ForwardMode.TARGET_VERIFY
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)
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is SharedReadBoundary.POST_REPLAY
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)
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def test_publish_war_read_done():
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runner = _runner()
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graph_event = object()
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runner.model_runner.war_read_done_event = graph_event
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runner._publish_war_read_done(in_graph=True)
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assert runner.model_runner.war_fastpath_read_done_event is graph_event
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recorded = []
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class Event:
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def record(self):
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recorded.append(self)
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runner.device_module = SimpleNamespace(Event=Event)
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runner._publish_war_read_done(in_graph=False)
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published = runner.model_runner.war_fastpath_read_done_event
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assert isinstance(published, Event) and recorded == [published]
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def _execute_harness(runner, calls, mode=ForwardMode.DECODE):
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key = ShapeKey(size=1)
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output = PPProxyTensors({"hidden_states": torch.ones(1, 1)})
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runner.ragged_verify_mode = False
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runner.bs = 1
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runner.load_batch = lambda *_: setattr(runner, "_replay_graph_key", key)
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class Backend:
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def replay_session(self):
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return contextlib.nullcontext()
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def replay(self, replay_key, _forward_batch):
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assert replay_key == key
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calls.append("replay")
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return output
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runner.backend = Backend()
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return SimpleNamespace(forward_mode=mode, batch_size=1)
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def test_execute_publishes_the_planted_graph_event():
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runner = _runner(planted=True)
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graph_event = object()
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runner.model_runner.war_read_done_event = graph_event
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runner.attn_backend = _attn_backend()
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runner.device_module = SimpleNamespace(
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Event=lambda: (_ for _ in ()).throw(
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AssertionError("execute must reuse the graph-recorded event")
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)
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)
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calls = []
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forward_batch = _execute_harness(runner, calls)
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result = runner.execute(forward_batch)
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assert result.tensors["hidden_states"].shape == (1, 1)
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assert runner.model_runner.war_fastpath_read_done_event is graph_event
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def test_execute_records_pre_replay_for_snapshot_backends():
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runner = _runner()
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runner.attn_backend = _attn_backend()
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calls = []
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class Event:
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def record(self):
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calls.append("record")
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runner.device_module = SimpleNamespace(Event=Event)
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forward_batch = _execute_harness(runner, calls)
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runner.execute(forward_batch)
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# The eager record lands before the replay so the fence stays truthful.
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assert calls == ["record", "replay"]
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assert isinstance(runner.model_runner.war_fastpath_read_done_event, Event)
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@pytest.mark.parametrize("supported", [False, True])
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def test_target_verify_requires_war_capability(supported):
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runner = _runner(target_verify_war=supported, planted=True)
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graph_event = object()
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runner.model_runner.war_read_done_event = graph_event
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runner.attn_backend = _attn_backend()
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runner.device_module = SimpleNamespace(Event=lambda: None)
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runner.execute(_execute_harness(runner, [], ForwardMode.TARGET_VERIFY))
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expected = graph_event if supported else None
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assert runner.model_runner.war_fastpath_read_done_event is expected
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if __name__ == "__main__":
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raise SystemExit(pytest.main([__file__, "-v"]))
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+10
-8
@@ -5,7 +5,9 @@ import pytest
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from sglang.srt.environ import envs
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from sglang.srt.layers.attention.base_attn_backend import SharedReadBoundary
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from sglang.srt.model_executor.forward_batch_info import ForwardMode
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from sglang.srt.model_executor.runner_utils import maybe_publish_prefill_war_read_done
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from sglang.srt.model_executor.runner_utils import (
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maybe_publish_prefill_shared_read_done,
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)
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from sglang.srt.speculative.spec_info import SpeculativeAlgorithm
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from sglang.test.ci.ci_register import register_cpu_ci
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@@ -27,7 +29,7 @@ def _model_runner(*, spec_algorithm=SpeculativeAlgorithm.NONE, compliant=True):
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return SimpleNamespace(
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spec_algorithm=spec_algorithm,
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attn_backend=SimpleNamespace(shared_read_boundary=lambda mode: boundary),
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war_fastpath_read_done_event=None,
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shared_read_done_event=None,
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)
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@@ -41,16 +43,16 @@ def _batch(mode=ForwardMode.EXTEND):
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def test_publishes_recorded_event_when_enabled():
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runner = _model_runner()
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with envs.SGLANG_ENABLE_PREFILL_WAR_READ_DONE.override(True):
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maybe_publish_prefill_war_read_done(runner, _batch(), _DEVICE_MODULE)
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published = runner.war_fastpath_read_done_event
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maybe_publish_prefill_shared_read_done(runner, _batch(), _DEVICE_MODULE)
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published = runner.shared_read_done_event
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assert isinstance(published, _Event) and published.recorded
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def test_disabled_when_flag_is_false():
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runner = _model_runner()
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with envs.SGLANG_ENABLE_PREFILL_WAR_READ_DONE.override(False):
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maybe_publish_prefill_war_read_done(runner, _batch(), _DEVICE_MODULE)
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assert runner.war_fastpath_read_done_event is None
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maybe_publish_prefill_shared_read_done(runner, _batch(), _DEVICE_MODULE)
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assert runner.shared_read_done_event is None
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def test_gates_exclude_non_prefill_unsupported_algorithm_and_noncompliant_backend():
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@@ -65,8 +67,8 @@ def test_gates_exclude_non_prefill_unsupported_algorithm_and_noncompliant_backen
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# Backend has not declared a pre-replay prefill read boundary.
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(_model_runner(compliant=False), _batch()),
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):
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maybe_publish_prefill_war_read_done(runner, batch, _DEVICE_MODULE)
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assert runner.war_fastpath_read_done_event is None
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maybe_publish_prefill_shared_read_done(runner, batch, _DEVICE_MODULE)
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assert runner.shared_read_done_event is None
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if __name__ == "__main__":
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