315 lines
9.7 KiB
Python
315 lines
9.7 KiB
Python
import shutil
|
|
import tempfile
|
|
import unittest
|
|
from types import SimpleNamespace
|
|
|
|
import requests
|
|
|
|
from sglang.srt.environ import envs
|
|
from sglang.srt.utils import kill_process_tree
|
|
from sglang.test.accuracy_test_runner import AccuracyTestParams
|
|
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_combined_tests import run_combined_tests
|
|
from sglang.test.run_eval import run_eval
|
|
from sglang.test.test_utils import (
|
|
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
DEFAULT_URL_FOR_TEST,
|
|
CustomTestCase,
|
|
ModelLaunchSettings,
|
|
popen_launch_server,
|
|
)
|
|
|
|
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}}
|
|
|
|
|
|
class TestQwen35FP4(unittest.TestCase):
|
|
def test_gsm8k(self):
|
|
base_args = [
|
|
"--tp-size",
|
|
"4",
|
|
"--chunked-prefill-size",
|
|
"2048",
|
|
"--mamba-scheduler-strategy",
|
|
"extra_buffer",
|
|
"--mamba-track-interval",
|
|
"128",
|
|
"--mamba-ssm-dtype",
|
|
"bfloat16",
|
|
"--max-running-requests",
|
|
"128",
|
|
"--reasoning-parser",
|
|
"qwen3",
|
|
"--attention-backend",
|
|
"trtllm_mha",
|
|
"--quantization",
|
|
"modelopt_fp4",
|
|
"--model-loader-extra-config",
|
|
'{"enable_multithread_load": true,"num_threads": 64}',
|
|
]
|
|
|
|
variants = [
|
|
ModelLaunchSettings(
|
|
QWEN35_FP4_MODEL,
|
|
extra_args=base_args,
|
|
variant="Triton",
|
|
),
|
|
# TODO: Fix this and re-enable it
|
|
# ModelLaunchSettings(
|
|
# QWEN35_FP4_MODEL,
|
|
# extra_args=base_args + ["--linear-attn-decode-backend", "flashinfer"],
|
|
# variant="FlashInfer",
|
|
# ),
|
|
]
|
|
|
|
run_combined_tests(
|
|
models=variants,
|
|
test_name="Qwen3.5-397B-A17B-NVFP4",
|
|
accuracy_params=AccuracyTestParams(
|
|
dataset="gsm8k",
|
|
baseline_accuracy=ACC_THRESHOLDS[QWEN35_FP4_MODEL]["gsm8k"],
|
|
num_examples=200,
|
|
num_threads=128,
|
|
max_tokens=16000,
|
|
thinking_mode="qwen3",
|
|
temperature=0.6,
|
|
top_p=0.95,
|
|
top_k=20,
|
|
),
|
|
)
|
|
|
|
|
|
class TestQwen35FP4MTP(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = QWEN35_FP4_MODEL
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--tp-size",
|
|
"4",
|
|
"--chunked-prefill-size",
|
|
"2048",
|
|
"--mamba-scheduler-strategy",
|
|
"extra_buffer",
|
|
"--mamba-track-interval",
|
|
"128",
|
|
"--mamba-ssm-dtype",
|
|
"bfloat16",
|
|
"--max-running-requests",
|
|
"128",
|
|
"--reasoning-parser",
|
|
"qwen3",
|
|
"--attention-backend",
|
|
"trtllm_mha",
|
|
"--quantization",
|
|
"modelopt_fp4",
|
|
"--speculative-algorithm",
|
|
"NEXTN",
|
|
"--speculative-num-steps",
|
|
"3",
|
|
"--speculative-eagle-topk",
|
|
"1",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
"--mem-fraction-static",
|
|
"0.8",
|
|
"--model-loader-extra-config",
|
|
'{"enable_multithread_load": true,"num_threads": 64}',
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_gsm8k(self):
|
|
args = SimpleNamespace(
|
|
model=self.model,
|
|
eval_name="gsm8k",
|
|
num_shots=5,
|
|
num_examples=200,
|
|
max_tokens=16000,
|
|
num_threads=128,
|
|
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]),
|
|
)
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreaterEqual(metrics["score"], ACC_THRESHOLDS[self.model]["gsm8k"])
|
|
|
|
server_info = requests.get(self.base_url + "/get_server_info")
|
|
avg_spec_accept_length = server_info.json()["internal_states"][0][
|
|
"avg_spec_accept_length"
|
|
]
|
|
print(f"{avg_spec_accept_length=}")
|
|
self.assertGreater(avg_spec_accept_length, 3.3)
|
|
|
|
|
|
class TestQwen35FP4MTPV2(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = QWEN35_FP4_MODEL
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
envs.SGLANG_ENABLE_SPEC_V2.set(True)
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--tp-size",
|
|
"4",
|
|
"--chunked-prefill-size",
|
|
"2048",
|
|
"--mamba-scheduler-strategy",
|
|
"extra_buffer",
|
|
"--mamba-track-interval",
|
|
"128",
|
|
"--mamba-ssm-dtype",
|
|
"bfloat16",
|
|
"--max-running-requests",
|
|
"128",
|
|
"--reasoning-parser",
|
|
"qwen3",
|
|
"--attention-backend",
|
|
"trtllm_mha",
|
|
"--quantization",
|
|
"modelopt_fp4",
|
|
"--speculative-algorithm",
|
|
"NEXTN",
|
|
"--speculative-num-steps",
|
|
"3",
|
|
"--speculative-eagle-topk",
|
|
"1",
|
|
"--speculative-num-draft-tokens",
|
|
"4",
|
|
"--mem-fraction-static",
|
|
"0.8",
|
|
"--model-loader-extra-config",
|
|
'{"enable_multithread_load": true,"num_threads": 64}',
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
envs.SGLANG_ENABLE_SPEC_V2.set(False)
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_gsm8k(self):
|
|
args = SimpleNamespace(
|
|
model=self.model,
|
|
eval_name="gsm8k",
|
|
num_shots=5,
|
|
num_examples=200,
|
|
max_tokens=16000,
|
|
num_threads=128,
|
|
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]),
|
|
)
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreaterEqual(metrics["score"], ACC_THRESHOLDS[self.model]["gsm8k"])
|
|
|
|
server_info = requests.get(self.base_url + "/get_server_info")
|
|
avg_spec_accept_length = server_info.json()["internal_states"][0][
|
|
"avg_spec_accept_length"
|
|
]
|
|
print(f"{avg_spec_accept_length=}")
|
|
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",
|
|
"--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 test_gsm8k(self):
|
|
args = SimpleNamespace(
|
|
model=self.model,
|
|
eval_name="gsm8k",
|
|
num_shots=5,
|
|
num_examples=200,
|
|
max_tokens=16000,
|
|
num_threads=128,
|
|
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]),
|
|
)
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreaterEqual(metrics["score"], ACC_THRESHOLDS[self.model]["gsm8k"])
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|