[Core] Add realtime AR-Diffusion tick sessions for LingBot World 2.0 (#5491)

Signed-off-by: zhangbin.327 <zhangbin.327@bytedance.com>
Signed-off-by: Jack47 <scsvip@gmail.com>
Co-authored-by: zhangbin.327 <zhangbin.327@bytedance.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
This commit is contained in:
authored and GitHub committed 2026-08-16 09:11:20 +08:00
1 parent 9798bc3a8d
commit 3875f8ded4
53 files changed
+10754 -129

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@@ -18,6 +18,7 @@ from vllm_omni.experimental.ar_diffusion.capability import (
)
from vllm_omni.experimental.ar_diffusion.kv_cache import ARDiffusionKVConfig
from vllm_omni.experimental.ar_diffusion.runner import ARDiffusionModelRunner
from vllm_omni.experimental.ar_diffusion.tick_protocol import ARDiffusionTickRequest
BLOCK = 16
POS = "positive"
@@ -56,6 +57,21 @@ def dreamzero_like_spec(*, capacity: int = 2) -> ARDiffusionKVCacheSpec:
)
def tiny_spec(*, capacity: int = 2) -> ARDiffusionKVCacheSpec:
return ARDiffusionKVCacheSpec(
num_layers=1,
num_kv_heads=1,
head_size=1,
tokens_per_frame=1,
frames_per_block=3,
window_frames=3,
sink_frames=3,
kv_branches=(ARDiffusionKVBranchSpec("main", 0),),
session_capacity=capacity,
cross_attention=(ARDiffusionCrossAttentionKVSpec("text", 2),),
)
class CapablePipeline:
def __init__(self, spec: ARDiffusionKVCacheSpec) -> None:
self.spec = spec
@@ -103,6 +119,7 @@ def make_runner(
*,
available_bytes: int = 1 << 28,
step_execution: bool = False,
gpu_memory_fraction: float = 0.1,
) -> ARDiffusionModelRunner:
runner = object.__new__(ARDiffusionModelRunner)
runner.od_config = SimpleNamespace(
@@ -113,7 +130,10 @@ def make_runner(
)
runner.device = torch.device("cpu")
runner.pipeline = pipeline
runner.ar_diffusion_kv_config = ARDiffusionKVConfig(enable=True)
runner.ar_diffusion_kv_config = ARDiffusionKVConfig(
enable=True,
gpu_memory_fraction=gpu_memory_fraction,
)
runner.kv_cache = None
runner._ar_diffusion_capability = None
runner._ar_diffusion_kv_cache_spec = None
@@ -132,6 +152,16 @@ def commit_one_frame(runner: ARDiffusionModelRunner, session_id: str, kv_branch:
return state
def commit_one_block(runner: ARDiffusionModelRunner, session_id: str, kv_branch: str):
state = runner._get_or_create_session(session_id)
assert runner.kv_cache is not None
seq_len = BLOCK * runner.kv_cache.frames_per_block
ctx = state.get_kv_caches(kv_branch, seq_len=seq_len, commit_current=True)[0].forward_ctx
ctx.ensure_video_slots(torch.device("cpu"))
state.commit_paged_context(kv_branch)
return state
def test_ar_runner_rejects_pipeline_without_capability():
runner = object.__new__(ARDiffusionModelRunner)
runner.od_config = SimpleNamespace(max_num_seqs=1)
@@ -140,6 +170,43 @@ def test_ar_runner_rejects_pipeline_without_capability():
runner._preallocate_kv_cache(available_bytes=1 << 20)
def test_runner_uses_typed_tick_as_authoritative_session_contract():
tick = ARDiffusionTickRequest(
session_id="world-7",
request_id="request-3",
chunk_index=3,
reset=True,
)
req = SimpleNamespace(
request_id="request-3",
sampling_params=SimpleNamespace(extra_args=tick.to_extra_args()),
)
session_id, extra_args, parsed = ARDiffusionModelRunner._request_session(req)
assert session_id == "world-7"
assert extra_args == tick.to_extra_args()
assert parsed == tick
def test_runner_keeps_engine_request_id_separate_from_tick_correlation_id():
tick = ARDiffusionTickRequest(
session_id="world-7",
request_id="client-request-3",
chunk_index=3,
)
req = SimpleNamespace(
request_id="engine-request-uuid",
sampling_params=SimpleNamespace(extra_args=tick.to_extra_args()),
)
session_id, _, parsed = ARDiffusionModelRunner._request_session(req)
assert session_id == "world-7"
assert req.request_id == "engine-request-uuid"
assert parsed.request_id == "client-request-3"
def test_lingbot_like_single_branch_session_reuse_reset_and_close():
pipeline = CapablePipeline(lingbot_like_spec())
runner = make_runner(pipeline)
@@ -170,6 +237,31 @@ def test_lingbot_like_single_branch_session_reuse_reset_and_close():
assert pipeline.closes == ["s1"]
def test_lingbot_like_interleaved_sessions_keep_independent_kv_partitions():
runner = make_runner(CapablePipeline(lingbot_like_spec(capacity=2)))
kv = runner.kv_cache
assert kv is not None
session_a = commit_one_block(runner, "world-a", "main")
a0_blocks = kv.window_block_ids(session_a.adapter("main"))
session_b = commit_one_block(runner, "world-b", "main")
b0_blocks = kv.window_block_ids(session_b.adapter("main"))
session_a_again = commit_one_block(runner, "world-a", "main")
a1_blocks = kv.window_block_ids(session_a_again.adapter("main"))
assert session_a_again is session_a
assert session_a.adapter("main").request_id == "ar::world-a::main"
assert session_b.adapter("main").request_id == "ar::world-b::main"
assert session_a.adapter("main").completed_chunks == 6
assert session_b.adapter("main").completed_chunks == 3
assert len(a0_blocks) == 3
assert len(b0_blocks) == 3
assert len(a1_blocks) == 6
assert set(a0_blocks) <= set(a1_blocks)
assert set(a1_blocks).isdisjoint(b0_blocks)
assert tuple(runner._sessions) == ("world-b", "world-a")
def test_lingbot_like_sink_survives_sliding_window_eviction():
runner = make_runner(CapablePipeline(lingbot_like_spec()))
kv = runner.kv_cache
@@ -198,12 +290,12 @@ def test_dreamzero_like_two_branches_are_independent():
def test_lru_eviction_releases_blocks_and_notifies_pipeline():
pipeline = CapablePipeline(lingbot_like_spec(capacity=8))
pipeline = CapablePipeline(lingbot_like_spec(capacity=2))
runner = make_runner(pipeline)
kv = runner.kv_cache
assert kv is not None
assert runner._session_capacity == 1
assert kv.session_capacity == 1
assert runner._session_capacity == 2
assert kv.session_capacity == 2
free_total = kv.manager.block_pool.get_num_free_blocks()
old = commit_one_frame(runner, "old", "main")
k = torch.randn(1, 8, 4, 64)
@@ -211,13 +303,56 @@ def test_lru_eviction_releases_blocks_and_notifies_pipeline():
assert kv.manager.block_pool.get_num_free_blocks() < free_total
runner._get_or_create_session("new")
assert tuple(runner._sessions) == ("old", "new")
runner._get_or_create_session("newest")
assert tuple(runner._sessions) == ("new",)
assert tuple(runner._sessions) == ("new", "newest")
assert pipeline.closes == ["old"]
assert "old" not in kv._cross_sessions
assert kv.manager.block_pool.get_num_free_blocks() == free_total
def test_budget_reduced_capacity_drives_runner_lru():
pipeline = CapablePipeline(tiny_spec(capacity=2))
# One tiny LingBot-like session requires 128 bytes; two require 192.
runner = make_runner(
pipeline,
available_bytes=128,
gpu_memory_fraction=1.0,
)
kv = runner.kv_cache
assert kv is not None
assert kv.requested_session_capacity == 2
assert kv.session_capacity == 1
assert runner._session_capacity == 1
runner._get_or_create_session("old")
runner._get_or_create_session("new")
assert tuple(runner._sessions) == ("new",)
assert pipeline.closes == ["old"]
def test_dreamzero_like_requested_capacity_is_capped_by_budget():
spec = dreamzero_like_spec(capacity=64)
# Per all-layer self-KV page: 65,536 bytes. Two resident sessions need:
# managed=(2 * (2 * 6 + 4) + 2)=34 pages, scratch=8 pages,
# cross-attention=1 page/session, for 44 pages total.
page_bytes = 65_536
pipeline = CapablePipeline(spec)
runner = make_runner(
pipeline,
available_bytes=44 * page_bytes,
gpu_memory_fraction=1.0,
)
kv = runner.kv_cache
assert kv is not None
assert kv.requested_session_capacity == 64
assert kv.session_capacity == 2
assert runner._session_capacity == 2
assert kv.cross_attention_reserved_bytes == 2 * page_bytes
def test_forward_exception_releases_pending_allocation_and_model_state(monkeypatch):
pipeline = CapablePipeline(lingbot_like_spec())
runner = make_runner(pipeline)
@@ -232,7 +367,10 @@ def test_forward_exception_releases_pending_allocation_and_model_state(monkeypat
raise RuntimeError("layer exploded")
monkeypatch.setattr(DiffusionModelRunner, "execute_model", boom)
request = SimpleNamespace(sampling_params=SimpleNamespace(extra_args={"session_id": "broken"}))
request = SimpleNamespace(
request_id="broken-request",
sampling_params=SimpleNamespace(extra_args={"session_id": "broken"}),
)
with pytest.raises(RuntimeError, match="layer exploded"):
runner.execute_model(request)
@@ -263,7 +401,10 @@ def test_synchronize_exception_uses_forward_cleanup_path(monkeypatch):
monkeypatch.setattr(DiffusionModelRunner, "execute_model", return_after_allocation)
monkeypatch.setattr(torch.accelerator, "synchronize", synchronize_boom)
runner.device = torch.device("cuda")
request = SimpleNamespace(sampling_params=SimpleNamespace(extra_args={"session_id": "broken"}))
request = SimpleNamespace(
request_id="broken-request",
sampling_params=SimpleNamespace(extra_args={"session_id": "broken"}),
)
with pytest.raises(RuntimeError, match="asynchronous kernel failed"):
runner.execute_model(request)