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sglang/test/registered/mem_cache/test_post_capture_kv_sizing.py
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3.2 KiB
Python

"""E2E guard for SGLANG_ENABLE_POST_CAPTURE_KV_SIZING.
Post-capture KV sizing reserves the KV pool as CUDA VMM virtual memory, captures
CUDA graphs, then sizes and physically backs the pool from measured free memory.
This test launches a server with the feature enabled and asserts that:
1. the post-capture sizing path actually ran (log line present, not a silent
no-op skip via post_capture_kv_sizing_planned),
2. the pool was backed to a positive KV size, and
3. gsm8k accuracy is unchanged vs. the default sizing path.
"""
import os
import re
import unittest
import requests
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
DEFAULT_MODEL_NAME_FOR_TEST,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
SimpleNamespace,
popen_launch_server,
)
# CI Registration
register_cuda_ci(est_time=75, stage="base-b", runner_config="1-gpu-large")
STDOUT_FILENAME = "post_capture_kv_sizing_stdout.log"
STDERR_FILENAME = "post_capture_kv_sizing_stderr.log"
class TestPostCaptureKVSizing(CustomTestCase):
@classmethod
def setUpClass(cls):
cls.model = DEFAULT_MODEL_NAME_FOR_TEST
cls.base_url = DEFAULT_URL_FOR_TEST
cls.stdout = open(STDOUT_FILENAME, "w")
cls.stderr = open(STDERR_FILENAME, "w")
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
env={**os.environ, "SGLANG_ENABLE_POST_CAPTURE_KV_SIZING": "1"},
return_stdout_stderr=(cls.stdout, cls.stderr),
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
cls.stdout.close()
cls.stderr.close()
for f in (STDOUT_FILENAME, STDERR_FILENAME):
if os.path.exists(f):
os.remove(f)
def _server_logs(self) -> str:
text = ""
for f in (STDOUT_FILENAME, STDERR_FILENAME):
if os.path.exists(f):
with open(f) as fh:
text += fh.read()
return text
def test_post_capture_sizing_ran(self):
"""The post-capture path must actually execute, not silently skip."""
m = re.search(
r"Post-capture KV sizing: KV cache allocated\..*?KV size: ([\d.]+) GB",
self._server_logs(),
)
self.assertIsNotNone(
m,
"Post-capture KV sizing log line not found; the feature was gated off "
"or the resize path did not run.",
)
self.assertGreater(float(m.group(1)), 0)
def test_server_info_pool_sized(self):
info = requests.get(f"{self.base_url}/server_info").json()
self.assertGreater(info["max_total_num_tokens"], 0)
def test_gsm8k_accuracy(self):
args = SimpleNamespace(
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
num_examples=200,
num_threads=1024,
)
metrics = run_eval(args)
print(f"GSM8K Accuracy: {metrics['score']:.3f}")
self.assertGreater(metrics["score"], 0.80)
if __name__ == "__main__":
unittest.main()