Files
agentic-kvc/third_party/vllm/benchmarks/benchmark_block_pool.py
Gahow Wang 445e491123 Add vLLM v0.18.1 source tree with KV transfer abort fix
third_party/vllm/ now tracked in git for direct patch management.
Based on vLLM v0.18.1 release with one patch applied:

  vllm/v1/core/sched/scheduler.py:
    Replace fatal assert with graceful skip when KV transfer callback
    arrives for an already-aborted request during PD disaggregated serving.

Future vLLM modifications should be made directly in third_party/vllm/
and committed normally. The patches/ directory is kept as documentation
of what changed from upstream.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-05-22 00:30:38 +08:00

75 lines
2.2 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import gc
from benchmark_utils import TimeCollector
from tabulate import tabulate
from vllm.utils.argparse_utils import FlexibleArgumentParser
from vllm.v1.core.block_pool import BlockPool
def main(args):
rows = []
for allocate_block in args.allocate_blocks:
# Enforce a GC collect ahead to minimize the impact among runs
gc.collect()
block_pool = BlockPool(num_gpu_blocks=args.num_gpu_blocks, enable_caching=True)
get_blocks_times = TimeCollector(TimeCollector.US)
free_blocks_times = TimeCollector(TimeCollector.US)
for _ in range(args.num_iteration):
with get_blocks_times:
blocks = block_pool.get_new_blocks(allocate_block)
with free_blocks_times:
block_pool.free_blocks(blocks)
rows.append(
[get_blocks_times.cnt, args.num_gpu_blocks, allocate_block]
+ get_blocks_times.dump_avg_max()
+ free_blocks_times.dump_avg_max()
)
print(
tabulate(
rows,
headers=[
"Iterations",
"Total\nBlocks",
"Allocated\nBlocks",
"Get Blocks\nAvg (us)",
"Get Blocks\nMax (us)",
"Free Blocks\nAvg (us)",
"Free Blocks\nMax (us)",
],
tablefmt="grid",
floatfmt=".3f",
)
)
def invoke_main() -> None:
parser = FlexibleArgumentParser(
description="Benchmark the performance of BlockPool for KV Cache."
)
parser.add_argument("--num-gpu-blocks", type=int, default=100000)
parser.add_argument(
"--num-iteration",
type=int,
default=1000,
help="Number of iterations to run to stabilize final data readings",
)
parser.add_argument(
"--allocate-blocks",
type=int,
nargs="*",
default=[10, 50, 100, 500, 1000],
help="Number of blocks to allocate",
)
args = parser.parse_args()
main(args)
if __name__ == "__main__":
invoke_main() # pragma: no cover