Files
vllm-omni/tests/diffusion/diffusion_kv/test_manager.py
T
tzhouamandClaude Opus 5 c306445ff2 rebase: migrate diffusion KV cache to the vLLM 0.29 layout model
vLLM 0.29 removed AttentionSpec.indexes_kv_by_block_stride and reshaped
KVCacheTensor from (size, shared_by) to an explicit layout: layers in L
order plus layer_stride and block_stride. The block-stride decision now
lives on one physical CacheConfig.kv_cache_layout that the engine core
resolves once, and layout.is_block_outermost is the direct successor of
the old per-spec flag.

Diffusion backends subclass the Omni AttentionBackend ABC, so upstream
get_supported_kv_cache_layouts never sees them and the engine core never
resolves a layout for them. Add diffusion_kv/layout.py to pin it before
get_kv_cache_configs runs, defaulting to LBNHC, which reproduces the
indexes_kv_by_block_stride=False that every dense diffusion backend
declared. The backend hook is kept as an enforced contract rather than
deleted: a backend needing block-stride indexing selects a block-outermost
layout, and a contradiction raises instead of mis-addressing K/V.

Workers receive only a KVCacheConfig, so the resolved name travels on it
(KVCacheConfig.kv_cache_layout) and is adopted into each worker CacheConfig
before allocation. Without that, init_kv_cache raises in the worker because
get_resolved_kv_cache_layout has nothing to return.

init_kv_cache also lost attn_groups and cache_dtype in 0.29; the production
caller in model_runner_backend and the test stubs move to the six-argument
form.

Tensor construction goes through one derivation built on the upstream
compute_layout_strides helper, shared by production and tests, so a wrong
stride cannot be masked by a parallel test-only copy.

Also updates the sizing expectation: 0.29 subtracts the null block that
BlockPool permanently holds back before estimating, so sixteen physical
pages now yield fifteen usable ones.

One review point is addressed only in part, deliberately.
build_native_kv_cache_configs now takes indexes_kv_by_block_stride and
propagates a block-outermost layout end to end when it is set, with a test
covering control plane to worker adoption. Automatic discovery of that
requirement from the workers is not added: 0.29 removed the field that used
to carry it, every diffusion backend in tree declares False, and inventing
an executor RPC for a capability nothing requests would ship untestable
plumbing. Until a backend needs it, the seam is explicit and the mismatch
raises at worker init rather than corrupting addressing.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146Xu5Sgj4vXxLxvLjV5YPj
Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
2026-09-10 00:41:53 +08:00

213 lines
7.8 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import pytest
import torch
import vllm.v1.core.single_type_kv_cache_manager as native_kv_managers
from vllm.v1.kv_cache_interface import FullAttentionSpec, KVCacheConfig, KVCacheGroupSpec
from vllm_omni.diffusion.diffusion_kv.manager import DiffusionKVAdmissionError, DiffusionKVCacheManager
from vllm_omni.diffusion.diffusion_kv.request import DiffusionKVContext, DiffusionKVRequest
from tests.helpers.kv_layout import build_kv_cache_tensor
pytestmark = [pytest.mark.core_model, pytest.mark.cpu, pytest.mark.diffusion]
BLOCK_SIZE = 4
def _config(num_blocks: int) -> KVCacheConfig:
native_kv_managers.register_all_kvcache_specs(None)
spec = FullAttentionSpec(
block_size=BLOCK_SIZE,
num_kv_heads=2,
head_size=8,
dtype=torch.bfloat16,
)
return KVCacheConfig(
num_blocks=num_blocks,
kv_cache_tensors=[build_kv_cache_tensor(spec, num_blocks, ["layer0"])],
kv_cache_groups=[KVCacheGroupSpec(layer_names=["layer0"], kv_cache_spec=spec)],
)
def _request(public_id: str, sequence_id: int, *, seq_len: int = 8, kv_contexts=()) -> DiffusionKVRequest:
return DiffusionKVRequest(
f"{public_id}/diffusion-kv/{sequence_id}",
sequence_id=sequence_id,
prefix_len=4,
target_len=4,
seq_len=seq_len,
kv_contexts=kv_contexts,
)
def _manager(num_blocks: int, *, max_model_len: int = 64) -> DiffusionKVCacheManager:
return DiffusionKVCacheManager(
_config(num_blocks),
max_model_len=max_model_len,
scheduler_block_size=BLOCK_SIZE,
hash_block_size=BLOCK_SIZE,
)
def test_reserve_and_free_multi_cfg_request() -> None:
manager = _manager(8)
free_before = manager.native_manager.block_pool.get_num_free_blocks()
requests = (_request("public", 0), _request("public", 1))
metadata = manager.reserve_request("public", requests)
assert metadata is not None
assert metadata.request_id == "public"
assert metadata.allocation_generation == 1
assert [sequence.sequence_id for sequence in metadata.sequences] == [0, 1]
assert [sequence.prefix_len for sequence in metadata.sequences] == [4, 4]
assert [sequence.target_len for sequence in metadata.sequences] == [4, 4]
assert [sequence.seq_len for sequence in metadata.sequences] == [8, 8]
assert [len(sequence.block_ids[0]) for sequence in metadata.sequences] == [2, 2]
assert all(sequence.context_ids == () for sequence in metadata.sequences)
assert metadata.contexts == ()
assert metadata == manager.get_metadata("public")
assert manager.native_manager.block_pool.get_num_free_blocks() == free_before - 4
manager.free_request("public")
assert manager.native_manager.block_pool.get_num_free_blocks() == free_before
def test_impossible_cfg_allocation_rolls_back_and_fails_fast() -> None:
manager = _manager(3)
free_before = manager.native_manager.block_pool.get_num_free_blocks()
with pytest.raises(DiffusionKVAdmissionError, match="cannot fit even when the block pool is empty"):
manager.reserve_request(
"public",
(_request("public", 0), _request("public", 1)),
)
assert manager.has_request("public") is False
assert manager.native_manager.block_pool.get_num_free_blocks() == free_before
def test_impossible_cfg_allocation_fails_fast_while_pool_is_busy() -> None:
manager = _manager(5)
assert manager.reserve_request("running", (_request("running", 0),)) is not None
free_before = manager.native_manager.block_pool.get_num_free_blocks()
with pytest.raises(DiffusionKVAdmissionError, match="required_blocks=6, available_blocks=4"):
manager.reserve_request(
"impossible",
tuple(_request("impossible", sequence_id) for sequence_id in range(3)),
)
assert manager.has_request("impossible") is False
assert manager.native_manager.block_pool.get_num_free_blocks() == free_before
def test_temporary_capacity_pressure_returns_none() -> None:
manager = _manager(3)
assert manager.reserve_request("running", (_request("running", 0),)) is not None
allocation = manager.reserve_request("waiting", (_request("waiting", 0),))
assert allocation is None
assert manager.has_request("waiting") is False
def test_partial_cfg_rollback_can_retry_after_capacity_is_released() -> None:
manager = _manager(5)
assert manager.reserve_request("running", (_request("running", 0),)) is not None
waiting = (_request("waiting", 0), _request("waiting", 1))
assert manager.reserve_request("waiting", waiting) is None
assert manager.has_request("waiting") is False
manager.free_request("running")
metadata = manager.reserve_request("waiting", waiting)
assert metadata is not None
assert [len(sequence.block_ids[0]) for sequence in metadata.sequences] == [2, 2]
def test_reallocated_request_gets_a_new_allocation_generation() -> None:
manager = _manager(3)
request = (_request("public", 0),)
first = manager.reserve_request("public", request)
assert first is not None
manager.free_request("public")
second = manager.reserve_request("public", request)
assert second is not None
assert second.allocation_generation == first.allocation_generation + 1
def test_cfg_allocation_exception_rolls_back(monkeypatch) -> None:
manager = _manager(8)
free_before = manager.native_manager.block_pool.get_num_free_blocks()
native_allocate = manager.native_manager.allocate_slots
num_calls = 0
def fail_second_allocation(*args, **kwargs):
nonlocal num_calls
num_calls += 1
if num_calls == 2:
raise RuntimeError("injected allocation failure")
return native_allocate(*args, **kwargs)
monkeypatch.setattr(manager.native_manager, "allocate_slots", fail_second_allocation)
with pytest.raises(RuntimeError, match="injected allocation failure"):
manager.reserve_request(
"public",
(_request("public", 0), _request("public", 1)),
)
assert manager.has_request("public") is False
assert manager.native_manager.block_pool.get_num_free_blocks() == free_before
def test_rejects_independent_context_until_role_routing_is_implemented() -> None:
manager = _manager(8)
context = DiffusionKVContext(context_id="text", cache_role="cross.text", num_tokens=8)
with pytest.raises(DiffusionKVAdmissionError, match="DiffusionKVContext"):
manager.reserve_request(
"public",
(_request("public", 0, kv_contexts=(context,)),),
)
def test_rejects_sequence_longer_than_admission_bound() -> None:
manager = _manager(8, max_model_len=8)
with pytest.raises(DiffusionKVAdmissionError, match="exceeds max_model_len"):
manager.reserve_request("public", (_request("public", 0, seq_len=9),))
@pytest.mark.parametrize(
"requests",
[
(_request("public", 1),),
(_request("public", 1), _request("public", 0)),
(_request("public", 0), _request("public", 2)),
],
)
def test_rejects_ambiguous_sequence_order(requests) -> None:
manager = _manager(8)
with pytest.raises(ValueError, match="ordered by contiguous sequence_id"):
manager.reserve_request("public", requests)
def test_close_releases_every_public_request() -> None:
manager = _manager(8)
free_before = manager.native_manager.block_pool.get_num_free_blocks()
assert manager.reserve_request("first", (_request("first", 0),)) is not None
assert manager.reserve_request("second", (_request("second", 0),)) is not None
manager.close()
assert manager.native_manager.block_pool.get_num_free_blocks() == free_before
assert manager.has_request("first") is False
assert manager.has_request("second") is False