[CI] Fix TestQwen35WithHiCache (#21371)

This commit is contained in:
Baizhou Zhang
2026-03-25 00:04:59 -07:00
committed by GitHub
parent 2d583799eb
commit f5c225eeba
2 changed files with 128 additions and 103 deletions
@@ -0,0 +1,127 @@
import shutil
import tempfile
import time
import unittest
from types import SimpleNamespace
import requests
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_cuda_ci
# This eval harness applies the chat_template, which is critical for qwen3.5
# to get good accuracy on gsm8k
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
popen_launch_server,
)
register_cuda_ci(est_time=600, suite="stage-c-test-4-gpu-h100")
QWEN35_27B_MODEL = "Qwen/Qwen3.5-27B"
ACC_THRESHOLDS = {QWEN35_27B_MODEL: {"gsm8k": 0.8}}
class TestQwen35WithHiCache(CustomTestCase):
@classmethod
def setUpClass(cls):
cls.model = QWEN35_27B_MODEL
cls.base_url = DEFAULT_URL_FOR_TEST
cls.storage_dir = tempfile.mkdtemp(prefix="qwen35-hicache-")
env = {
"SGLANG_HICACHE_FILE_BACKEND_STORAGE_DIR": cls.storage_dir,
}
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
env=env,
other_args=[
"--tp-size",
"4",
"--max-mamba-cache-size",
"500",
"--max-total-tokens",
"120000",
"--chunked-prefill-size",
"2048",
"--mamba-scheduler-strategy",
"extra_buffer",
"--mamba-track-interval",
"128",
"--mamba-ssm-dtype",
"bfloat16",
"--max-running-requests",
"128",
"--reasoning-parser",
"qwen3",
"--model-loader-extra-config",
'{"enable_multithread_load": true,"num_threads": 64}',
"--hicache-mem-layout",
"page_first_direct",
"--enable-hierarchical-cache",
"--hicache-ratio",
"2",
"--hicache-size",
"0",
"--hicache-write-policy",
"write_through",
"--hicache-storage-backend",
"file",
"--hicache-storage-prefetch-policy",
"wait_complete",
],
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
shutil.rmtree(cls.storage_dir, ignore_errors=True)
def _run_gsm8k(self):
args = SimpleNamespace(
model=self.model,
eval_name="gsm8k",
num_shots=5,
num_examples=100,
max_tokens=16000,
num_threads=50,
repeat=1,
temperature=0.6,
top_p=0.95,
top_k=20,
base_url=self.base_url,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
)
return run_eval(args)
def test_gsm8k(self):
first_metrics = self._run_gsm8k()
print(f"first_metrics={first_metrics}")
self.assertGreaterEqual(
first_metrics["score"], ACC_THRESHOLDS[self.model]["gsm8k"]
)
print(f"flush cache")
time.sleep(2)
requests.post(f"{self.base_url}/flush_cache", timeout=10)
second_metrics = self._run_gsm8k()
print(f"second_metrics={second_metrics}")
self.assertGreaterEqual(
second_metrics["score"], ACC_THRESHOLDS[self.model]["gsm8k"]
)
self.assertLessEqual(
abs(second_metrics["score"] - first_metrics["score"]),
0.05,
f"HiCache prefetch accuracy drift too large: "
f"first={first_metrics['score']}, second={second_metrics['score']}",
)
if __name__ == "__main__":
unittest.main()
@@ -1,6 +1,3 @@
import shutil
import tempfile
import time
import unittest
from types import SimpleNamespace
@@ -26,8 +23,7 @@ from sglang.test.test_utils import (
register_cuda_ci(est_time=1400, suite="stage-c-test-4-gpu-b200")
QWEN35_FP4_MODEL = "nvidia/Qwen3.5-397B-A17B-NVFP4"
QWEN35_27B_MODEL = "Qwen/Qwen3.5-27B"
ACC_THRESHOLDS = {QWEN35_FP4_MODEL: {"gsm8k": 0.95}, QWEN35_27B_MODEL: {"gsm8k": 0.8}}
ACC_THRESHOLDS = {QWEN35_FP4_MODEL: {"gsm8k": 0.95}}
class TestQwen35FP4(unittest.TestCase):
@@ -238,103 +234,5 @@ class TestQwen35FP4MTPV2(CustomTestCase):
self.assertGreater(avg_spec_accept_length, 3.3)
class TestQwen35WithHiCache(CustomTestCase):
@classmethod
def setUpClass(cls):
cls.model = QWEN35_27B_MODEL
cls.base_url = DEFAULT_URL_FOR_TEST
cls.storage_dir = tempfile.mkdtemp(prefix="qwen35-hicache-")
env = {
"SGLANG_HICACHE_FILE_BACKEND_STORAGE_DIR": cls.storage_dir,
}
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
env=env,
other_args=[
"--tp-size",
"4",
"--max-mamba-cache-size",
"500",
"--max-total-tokens",
"120000",
"--chunked-prefill-size",
"2048",
"--mamba-scheduler-strategy",
"extra_buffer",
"--mamba-track-interval",
"128",
"--mamba-ssm-dtype",
"bfloat16",
"--max-running-requests",
"128",
"--reasoning-parser",
"qwen3",
"--model-loader-extra-config",
'{"enable_multithread_load": true,"num_threads": 64}',
"--hicache-mem-layout",
"page_first_direct",
"--enable-hierarchical-cache",
"--hicache-ratio",
"2",
"--hicache-size",
"0",
"--hicache-write-policy",
"write_through",
"--hicache-storage-backend",
"file",
"--hicache-storage-prefetch-policy",
"wait_complete",
],
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
shutil.rmtree(cls.storage_dir, ignore_errors=True)
def _run_gsm8k(self):
args = SimpleNamespace(
model=self.model,
eval_name="gsm8k",
num_shots=5,
num_examples=100,
max_tokens=4000,
num_threads=50,
repeat=1,
temperature=0.6,
top_p=0.95,
top_k=20,
base_url=self.base_url,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
)
return run_eval(args)
def test_gsm8k(self):
first_metrics = self._run_gsm8k()
print(f"first_metrics={first_metrics}")
self.assertGreaterEqual(
first_metrics["score"], ACC_THRESHOLDS[self.model]["gsm8k"]
)
print(f"flush cache")
time.sleep(2)
requests.post(f"{self.base_url}/flush_cache", timeout=10)
second_metrics = self._run_gsm8k()
print(f"second_metrics={second_metrics}")
self.assertGreaterEqual(
second_metrics["score"], ACC_THRESHOLDS[self.model]["gsm8k"]
)
self.assertLessEqual(
abs(second_metrics["score"] - first_metrics["score"]),
0.05,
f"HiCache prefetch accuracy drift too large: "
f"first={first_metrics['score']}, second={second_metrics['score']}",
)
if __name__ == "__main__":
unittest.main()