sglang0.4.5.post1/test/srt/test_fp8_kvcache.py

115 lines
3.0 KiB
Python

import os
import unittest
from types import SimpleNamespace
from sglang.srt.utils import kill_process_tree
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
DEFAULT_MODEL_NAME_FOR_TEST,
DEFAULT_SMALL_MODEL_NAME_FOR_TEST_QWEN,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
popen_launch_server,
)
class TestFp8KvcacheBase(CustomTestCase):
model_config = None
@classmethod
def setUpClass(cls):
if cls.model_config is None:
raise NotImplementedError("model_config must be specified in subclass")
cls.model = cls.model_config["model_name"]
cls.base_url = DEFAULT_URL_FOR_TEST
dirpath = os.path.dirname(__file__)
config_file = os.path.join(dirpath, cls.model_config["config_filename"])
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=[
"--kv-cache-dtype",
"fp8_e4m3",
"--quantization-param-path",
config_file,
],
)
class TestFp8KvcacheLlama(TestFp8KvcacheBase):
model_config = {
"model_name": DEFAULT_MODEL_NAME_FOR_TEST,
"config_filename": "kv_cache_scales_llama3_8b.json",
}
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_mgsm_en(self):
args = SimpleNamespace(
base_url=self.base_url,
model=self.model,
eval_name="mgsm_en",
num_examples=None,
num_threads=1024,
)
metrics = run_eval(args)
self.assertGreater(metrics["score"], 0.80)
def test_mmlu(self):
args = SimpleNamespace(
base_url=self.base_url,
model=self.model,
eval_name="mmlu",
num_examples=64,
num_threads=32,
)
metrics = run_eval(args)
self.assertGreaterEqual(metrics["score"], 0.65)
class TestFp8KvcacheQwen(TestFp8KvcacheBase):
model_config = {
"model_name": DEFAULT_SMALL_MODEL_NAME_FOR_TEST_QWEN,
"config_filename": "kv_cache_scales_qwen2_1_5b.json",
}
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_mgsm_en(self):
args = SimpleNamespace(
base_url=self.base_url,
model=self.model,
eval_name="mgsm_en",
num_examples=None,
num_threads=1024,
)
metrics = run_eval(args)
self.assertGreater(metrics["score"], 0.01)
def test_mmlu(self):
args = SimpleNamespace(
base_url=self.base_url,
model=self.model,
eval_name="mmlu",
num_examples=64,
num_threads=32,
)
metrics = run_eval(args)
self.assertGreaterEqual(metrics["score"], 0.3)
if __name__ == "__main__":
unittest.main()