[Feat] DCP + HiCache L2 Support (ported from kimi-k3) (#33112)

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
This commit is contained in:
Yuwei An
2026-08-02 23:35:27 +08:00
committed by GitHub
co-authored by Claude Opus 5
parent f8e62a9224
commit 1a3bea77f2
9 changed files with 442 additions and 9 deletions
@@ -0,0 +1,112 @@
"""HiCache L2 under decode context parallelism (DCP) + UnifiedRadixCache.
Under DCP the radix layer allocates widened logical indices while each rank's
buffers hold only its 1/dcp_size shard, so a missing translation makes cache
hits return another rank's KV. The KL cases catch that as a large divergence.
Blackwell-only: the MLA DCP decode path needs ``tokenspeed_mla`` (SM100/12x).
"""
import subprocess
import unittest
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.kits.unified_radix_cache_kit import UnifiedRadixTreeTestMixin
from sglang.test.kl_multiturn_utils import (
get_input_ids,
make_mamba_decode_assert,
make_mamba_prefill_assert,
)
from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
popen_launch_server,
)
register_cuda_ci(est_time=1500, stage="extra-b", runner_config="4-gpu-b200")
KIMI_LINEAR_MODEL = "moonshotai/Kimi-Linear-48B-A3B-Instruct"
DCP_SIZE = 4
PAGE_SIZE = 64
WIDENED_PAGE = PAGE_SIZE * DCP_SIZE
MAX_MAMBA_CACHE_SIZE = 256
# Bound the host pools directly. Sizing them off the device pool would need
# --max-total-tokens, which triggers out-of-range KV writes under DCP.
HICACHE_SIZE_GB = 10
class TestUnifiedKimiLinearDcpHiCache(UnifiedRadixTreeTestMixin, CustomTestCase):
"""Kimi Linear + DCP4 + HiCache L2 + UnifiedRadixCache."""
kl_threshold = 0.01
gsm8k_threshold = 0.85
mmlu_threshold = 0.4
prefill_cache_assert = staticmethod(
make_mamba_prefill_assert(chunk_size=WIDENED_PAGE)
)
decode_cache_assert = staticmethod(
make_mamba_decode_assert(track_interval=WIDENED_PAGE)
)
@classmethod
def setUpClass(cls):
cls.model = KIMI_LINEAR_MODEL
cls.base_url = DEFAULT_URL_FOR_TEST
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH * 3,
other_args=[
"--trust-remote-code",
"--tp-size",
"4",
"--dcp-size",
str(DCP_SIZE),
"--page-size",
str(PAGE_SIZE),
"--attention-backend",
"tokenspeed_mla",
"--kv-cache-dtype",
"fp8_e4m3",
"--dcp-comm-backend",
"a2a",
"--dcp-replicate-q-proj",
"--dtype",
"bfloat16",
"--random-seed",
"0",
"--cuda-graph-max-bs-decode",
"64",
"--cuda-graph-backend-prefill",
"disabled",
"--mem-fraction-static",
"0.80",
"--enable-hierarchical-cache",
"--hicache-size",
str(HICACHE_SIZE_GB),
"--hicache-write-policy",
"write_through",
"--max-running-requests",
"64",
"--max-mamba-cache-size",
str(MAX_MAMBA_CACHE_SIZE),
"--enable-metrics",
],
env={"SGLANG_ENABLE_UNIFIED_RADIX_TREE": "1"},
)
cls.input_ids = get_input_ids(cls.model, num_samples=18, trust_remote_code=True)
@classmethod
def tearDownClass(cls):
cls.process.terminate()
try:
cls.process.wait(timeout=60)
except subprocess.TimeoutExpired:
pass
kill_process_tree(cls.process.pid)
if __name__ == "__main__":
unittest.main()