Gahow Wang
445e491123
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>
72 lines
2.3 KiB
Python
72 lines
2.3 KiB
Python
# SPDX-License-Identifier: Apache-2.0
|
|
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
|
|
"""Cold start and warm start tests for vLLM-compile.
|
|
|
|
Cold start runs in a forked child (must fork before CUDA init) which
|
|
populates on-disk caches and asserts cold-start counters. Warm start
|
|
then runs in the parent with clean in-memory state but populated caches.
|
|
"""
|
|
|
|
import multiprocessing as mp
|
|
|
|
from torch._dynamo.utils import counters
|
|
|
|
from vllm.compilation.counter import compilation_counter
|
|
from vllm.config import CompilationConfig, CompilationMode, CUDAGraphMode
|
|
|
|
MODEL = "microsoft/Phi-tiny-MoE-instruct"
|
|
|
|
|
|
def _run_vllm(vllm_runner):
|
|
with vllm_runner(
|
|
MODEL,
|
|
trust_remote_code=False,
|
|
max_model_len=256,
|
|
max_num_batched_tokens=1024,
|
|
load_format="dummy",
|
|
compilation_config=CompilationConfig(
|
|
mode=CompilationMode.VLLM_COMPILE,
|
|
cudagraph_mode=CUDAGraphMode.NONE,
|
|
),
|
|
num_gpu_blocks_override=8,
|
|
):
|
|
pass
|
|
|
|
|
|
def _cold_start(vllm_runner):
|
|
counters.clear()
|
|
with compilation_counter.expect(
|
|
num_compiled_artifacts_saved=3,
|
|
num_compiled_artifacts_loaded=0,
|
|
):
|
|
_run_vllm(vllm_runner)
|
|
assert counters["aot_autograd"]["total"] == 33
|
|
assert counters["aot_autograd"]["autograd_cache_miss"] == 3
|
|
assert counters["aot_autograd"]["autograd_cache_hit"] == 0
|
|
|
|
|
|
def test_moe_startup(monkeypatch, vllm_runner, fresh_vllm_cache):
|
|
monkeypatch.setenv("VLLM_ENABLE_V1_MULTIPROCESSING", "0")
|
|
|
|
# Cold start in a forked child (must fork before CUDA init).
|
|
# This model has 32 identical transformer layers which produce
|
|
# 33 subgraphs after splitting on attention — only 3 are unique.
|
|
ctx = mp.get_context("fork")
|
|
p = ctx.Process(target=_cold_start, args=(vllm_runner,))
|
|
p.start()
|
|
p.join()
|
|
assert p.exitcode == 0, "Cold-start child failed"
|
|
|
|
# Warm start — compiled artifacts loaded from disk cache.
|
|
counters.clear()
|
|
with compilation_counter.expect(
|
|
num_compiled_artifacts_loaded=3,
|
|
num_compiled_artifacts_saved=0,
|
|
):
|
|
_run_vllm(vllm_runner)
|
|
assert counters["aot_autograd"]["total"] == 30
|
|
assert counters["aot_autograd"]["autograd_cache_miss"] == 0
|
|
assert (
|
|
counters["aot_autograd"]["autograd_cache_hit"] == 0
|
|
) # No miss at aot_autograd level causing disk I/O.
|