184 lines
5.0 KiB
Python
184 lines
5.0 KiB
Python
from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
|
|
|
|
register_cuda_ci(est_time=524, suite="stage-b-test-large-1-gpu")
|
|
register_amd_ci(est_time=524, suite="stage-b-test-small-1-gpu-amd")
|
|
"""
|
|
Consolidated HiCache variant tests.
|
|
Tests HiCache with different configurations: standard, MLA, EAGLE, and page size variants.
|
|
"""
|
|
|
|
import unittest
|
|
from types import SimpleNamespace
|
|
|
|
import requests
|
|
|
|
from sglang.benchmark.utils import get_tokenizer
|
|
from sglang.srt.utils import is_hip, kill_process_tree
|
|
from sglang.test.run_eval import run_eval
|
|
from sglang.test.test_utils import (
|
|
DEFAULT_DRAFT_MODEL_EAGLE3,
|
|
DEFAULT_MLA_MODEL_NAME_FOR_TEST,
|
|
DEFAULT_MODEL_NAME_FOR_TEST,
|
|
DEFAULT_TARGET_MODEL_EAGLE3,
|
|
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
DEFAULT_URL_FOR_TEST,
|
|
CustomTestCase,
|
|
popen_launch_server,
|
|
)
|
|
|
|
_is_hip = is_hip()
|
|
|
|
|
|
class HiCacheEvalMixin:
|
|
"""Mixin class containing common HiCache evaluation test methods"""
|
|
|
|
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"], self.expected_mmlu_score)
|
|
|
|
|
|
class HiCacheMGSMEvalMixin:
|
|
"""Mixin for tests that also run MGSM evaluation"""
|
|
|
|
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"], 0.8)
|
|
|
|
|
|
class HiCacheBaseServer(CustomTestCase):
|
|
"""Base class for HiCache tests with configurable server setup"""
|
|
|
|
model_name = DEFAULT_MODEL_NAME_FOR_TEST
|
|
hicache_args = []
|
|
expected_mmlu_score = 0.65
|
|
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = cls.model_name
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
|
|
# Setup tokenizer if needed by subclass
|
|
if hasattr(cls, "needs_tokenizer") and cls.needs_tokenizer:
|
|
cls.tokenizer = get_tokenizer(cls.model)
|
|
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=cls.hicache_args,
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
|
|
class TestHiCacheStandard(HiCacheBaseServer, HiCacheEvalMixin):
|
|
"""Standard HiCache configuration tests"""
|
|
|
|
model_name = DEFAULT_MODEL_NAME_FOR_TEST
|
|
hicache_args = [
|
|
"--enable-hierarchical-cache",
|
|
"--mem-fraction-static",
|
|
0.7,
|
|
"--hicache-size",
|
|
100 if not _is_hip else 200,
|
|
]
|
|
expected_mmlu_score = 0.65
|
|
|
|
|
|
class TestHiCacheMLA(HiCacheBaseServer, HiCacheEvalMixin, HiCacheMGSMEvalMixin):
|
|
"""HiCache with MLA model tests"""
|
|
|
|
model_name = DEFAULT_MLA_MODEL_NAME_FOR_TEST
|
|
hicache_args = [
|
|
"--trust-remote-code",
|
|
"--enable-hierarchical-cache",
|
|
] + (["--hicache-size", 200] if _is_hip else ["--hicache-ratio", 2])
|
|
expected_mmlu_score = 0.5
|
|
|
|
|
|
@unittest.skipIf(is_hip(), "Disabled for AMD-aiter")
|
|
class TestHiCacheEagle(HiCacheBaseServer, HiCacheEvalMixin):
|
|
"""HiCache with EAGLE speculative decoding tests"""
|
|
|
|
model_name = DEFAULT_TARGET_MODEL_EAGLE3
|
|
needs_tokenizer = True
|
|
hicache_args = [
|
|
"--enable-hierarchical-cache",
|
|
"--hicache-ratio",
|
|
1.2,
|
|
"--mem-fraction-static",
|
|
0.7,
|
|
"--speculative-algorithm",
|
|
"EAGLE3",
|
|
"--speculative-draft-model-path",
|
|
DEFAULT_DRAFT_MODEL_EAGLE3,
|
|
"--speculative-num-steps",
|
|
2,
|
|
"--speculative-eagle-topk",
|
|
1,
|
|
"--speculative-num-draft-tokens",
|
|
3,
|
|
"--dtype",
|
|
"float16",
|
|
"--chunked-prefill-size",
|
|
1024,
|
|
]
|
|
expected_mmlu_score = 0.72
|
|
|
|
def test_mmlu(self):
|
|
"""Override to add EAGLE-specific assertions"""
|
|
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"], self.expected_mmlu_score)
|
|
|
|
# EAGLE-specific check
|
|
server_info = requests.get(self.base_url + "/get_server_info").json()
|
|
avg_spec_accept_length = server_info["internal_states"][0][
|
|
"avg_spec_accept_length"
|
|
]
|
|
print(f"{avg_spec_accept_length=}")
|
|
self.assertGreater(avg_spec_accept_length, 2.26)
|
|
|
|
|
|
class TestHiCachePage(HiCacheBaseServer, HiCacheEvalMixin):
|
|
"""HiCache with custom page size tests"""
|
|
|
|
model_name = DEFAULT_MODEL_NAME_FOR_TEST
|
|
hicache_args = [
|
|
"--enable-hierarchical-cache",
|
|
"--page-size",
|
|
32,
|
|
"--hicache-write-policy",
|
|
"write_back",
|
|
]
|
|
expected_mmlu_score = 0.65
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|