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vllm-omni/tests/diffusion/ar_diffusion/test_kv_orchestration.py
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2026-08-16 09:11:20 +08:00

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Python

# SPDX-License-Identifier: Apache-2.0
"""Tests for ARDiffusionKVCache — the engine-level KV orchestration body (Phase 1)."""
import pytest
import torch
from vllm_omni.experimental.ar_diffusion.capability import ARDiffusionKVBranchSpec
from vllm_omni.experimental.ar_diffusion.kv_cache import ARDiffusionKVCache, ARDiffusionKVConfig
pytestmark = [pytest.mark.core_model, pytest.mark.diffusion, pytest.mark.cpu]
DIMS = dict(
num_layers=2,
num_kv_heads=4,
head_size=64,
dtype=torch.float16,
block_size=16,
kv_branches=(ARDiffusionKVBranchSpec("positive", 0), ARDiffusionKVBranchSpec("negative", 1)),
session_capacity=2,
)
def make_cache(*, chunk_size=16, window_chunks=2, available_bytes=1 << 24):
cfg = ARDiffusionKVConfig(enable=True, chunk_size=chunk_size, window_chunks=window_chunks)
return ARDiffusionKVCache(cfg, max_model_len=4096, available_bytes=available_bytes, **DIMS)
def test_requires_enabled_config():
with pytest.raises(ValueError):
ARDiffusionKVCache(ARDiffusionKVConfig(enable=False), max_model_len=256, available_bytes=1 << 20, **DIMS)
def test_requires_bounded_window():
cfg = ARDiffusionKVConfig(enable=True, chunk_size=16, window_chunks=None)
with pytest.raises(ValueError):
ARDiffusionKVCache(cfg, max_model_len=256, available_bytes=1 << 20, **DIMS)
def test_full_request_lifecycle_and_eviction():
"""begin -> per-chunk allocate/slots/commit over a long rollout -> free.
Exercises the orchestrator end-to-end and asserts the chunk window bounds
memory (pool plateaus) and frees cleanly.
"""
kv = make_cache(chunk_size=16, window_chunks=2)
free_total = kv.manager.block_pool.get_num_free_blocks()
adapter = kv.begin_request("req-0")
free_after = []
for k in range(10):
block_table = kv.allocate_chunk(adapter)
slots = kv.chunk_write_slots(adapter)
# Slots target real blocks in this chunk's table; length == chunk_size.
assert len(slots) == kv.spec.chunk_size
used = {int(s) // kv.block_size for s in slots}
assert kv.null_block_id not in used
assert used <= set(block_table)
# Allocation may transiently add one in-flight chunk.
assert len(kv.window_block_ids(adapter)) <= kv.spec.window_chunks + 1
kv.commit_chunk(adapter)
# A successful commit immediately prunes physical ownership.
assert len(kv.window_block_ids(adapter)) <= kv.spec.window_chunks
free_after.append(kv.manager.block_pool.get_num_free_blocks())
# Pool memory plateaus once the window is full (eviction recycles blocks).
assert free_after[-1] == free_after[kv.spec.window_chunks - 1]
kv.end_request(adapter)
assert kv.manager.block_pool.get_num_free_blocks() == free_total
def test_num_computed_advances_per_chunk():
kv = make_cache(chunk_size=16, window_chunks=2)
a = kv.begin_request("r")
assert a.num_computed_tokens == 0
kv.allocate_chunk(a)
kv.commit_chunk(a)
assert a.num_computed_tokens == 16
kv.end_request(a)
def test_state_close_frees_both_branch_blocks():
"""ARDiffusionKVState.close() returns both CFG kv_branches' pool blocks to the pool.
This is the primitive the runner's LRU eviction relies on: when a session is
evicted, close() must free the blocks both adapters hold, or session churn
leaks pool ownership (review P1).
"""
from vllm_omni.experimental.ar_diffusion.kv_cache.state import ARDiffusionKVState
kv = make_cache(chunk_size=16, window_chunks=2)
free_total = kv.manager.block_pool.get_num_free_blocks()
pos = kv.begin_request("bde__s")
neg = kv.begin_request("bde__s__neg")
state = ARDiffusionKVState(
kv,
"s",
{"positive": pos, "negative": neg},
num_layers=kv.num_layers,
)
for _ in range(3):
for adapter in (pos, neg):
kv.allocate_chunk(adapter)
kv.commit_chunk(adapter)
# Both kv_branches hold resident blocks now.
assert kv.manager.block_pool.get_num_free_blocks() < free_total
state.close()
# All blocks returned — no leak across an evicted session.
assert kv.manager.block_pool.get_num_free_blocks() == free_total