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