sglang.0.4.8.post1/sglang/test/srt/test_pp_single_node.py

256 lines
7.6 KiB
Python

"""
Usage:
python3 -m unittest test_pp_single_node.TestPPAccuracy.test_gsm8k
python3 -m unittest test_pp_single_node.TestQwenPPAccuracy.test_pp_consistency
python3 -m unittest test_pp_single_node.TestFixedBugs.test_chunked_prefill_with_small_bs
"""
import time
import unittest
from types import SimpleNamespace
from sglang.bench_one_batch_server import BenchArgs as OneBatchBenchArgs
from sglang.srt.server_args import ServerArgs
from sglang.srt.utils import kill_process_tree
from sglang.test.few_shot_gsm8k import run_eval
from sglang.test.test_utils import (
DEFAULT_MODEL_NAME_FOR_TEST,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
is_in_ci,
popen_launch_server,
run_bench_one_batch_server,
)
class TestPPAccuracy(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.base_url = "http://127.0.0.1:23333"
cls.process = popen_launch_server(
DEFAULT_MODEL_NAME_FOR_TEST,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=[
"--tp-size",
2,
"--pp-size",
2,
"--chunked-prefill-size",
256,
],
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_gsm8k(self):
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
)
metrics = run_eval(args)
print(f"{metrics=}")
self.assertGreater(metrics["accuracy"], 0.74)
# Wait a little bit so that the memory check happens.
time.sleep(4)
class TestQwenPPAccuracy(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.base_url = "http://127.0.0.1:23334" # different ports to avoid conflicts
cls.model_name = "Qwen/Qwen3-8B" # replace with your Qwen Model if needed
def run_gsm8k_test(self, pp_size):
process = popen_launch_server(
self.model_name,
self.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=[
"--pp-size",
pp_size,
"--chunked-prefill-size",
256,
],
)
try:
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
)
metrics = run_eval(args)
time.sleep(5)
return metrics
finally:
kill_process_tree(process.pid)
@unittest.skipIf(is_in_ci(), "To reduce the CI execution time.")
def test_pp_consistency(self):
baseline = self.run_gsm8k_test(pp_size=1)
pp_metrics = self.run_gsm8k_test(pp_size=2)
print(f"[Qwen PP Comparison] Baseline: {baseline} | PP: {pp_metrics}")
self.assertGreaterEqual(baseline["accuracy"], 0.74)
self.assertGreaterEqual(
pp_metrics["accuracy"],
baseline["accuracy"] - 0.02,
msg=(
f"PP accuracy dropped more than 1% compared to baseline. "
f"Baseline: {baseline['accuracy']:.2%}, PP: {pp_metrics['accuracy']:.2%}"
),
)
class TestQwenPPTieWeightsAccuracy(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.base_url = "http://127.0.0.1:23335" # different ports to avoid conflicts
cls.model_name = (
"Qwen/Qwen3-0.6B" # qwen3 < 8B all have tie_word_embeddings = True
)
def run_gsm8k_test(self, pp_size):
process = popen_launch_server(
self.model_name,
self.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=[
"--pp-size",
pp_size,
"--chunked-prefill-size",
256,
],
)
try:
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
)
metrics = run_eval(args)
time.sleep(5)
return metrics
finally:
kill_process_tree(process.pid)
def test_pp_consistency(self):
baseline = self.run_gsm8k_test(pp_size=1)
pp_metrics = self.run_gsm8k_test(pp_size=2)
print(f"[Qwen PP Comparison] Baseline: {baseline} | PP: {pp_metrics}")
self.assertGreaterEqual(baseline["accuracy"], 0.38)
self.assertGreaterEqual(
pp_metrics["accuracy"],
baseline["accuracy"] - 0.02,
msg=(
f"PP accuracy dropped more than 1% compared to baseline. "
f"Baseline: {baseline['accuracy']:.2%}, PP: {pp_metrics['accuracy']:.2%}"
),
)
class TestQwenMoePPAccuracy(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.base_url = "http://127.0.0.1:23336" # different ports to avoid conflicts
cls.model_name = "Qwen/Qwen3-30B-A3B" # replace with your Qwen Model if needed
def run_gsm8k_test(self, pp_size):
process = popen_launch_server(
self.model_name,
self.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=[
"--pp-size",
pp_size,
"--chunked-prefill-size",
256,
],
)
try:
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
)
metrics = run_eval(args)
time.sleep(5)
return metrics
finally:
kill_process_tree(process.pid)
def test_pp_consistency(self):
baseline = self.run_gsm8k_test(pp_size=1)
pp_metrics = self.run_gsm8k_test(pp_size=2)
print(f"[Qwen PP Comparison] Baseline: {baseline} | PP: {pp_metrics}")
self.assertGreaterEqual(baseline["accuracy"], 0.74)
self.assertGreaterEqual(
pp_metrics["accuracy"],
baseline["accuracy"] - 0.02,
msg=(
f"PP accuracy dropped more than 1% compared to baseline. "
f"Baseline: {baseline['accuracy']:.2%}, PP: {pp_metrics['accuracy']:.2%}"
),
)
class TestFixedBugs(unittest.TestCase):
def test_chunked_prefill_with_small_bs(self):
model = DEFAULT_MODEL_NAME_FOR_TEST
server_args = ServerArgs(model_path=model)
bench_args = OneBatchBenchArgs(
batch_size=(1,),
input_len=(1,),
output_len=(1,),
base_url=DEFAULT_URL_FOR_TEST,
)
other_server_args = [
"--tp-size",
2,
"--pp-size",
2,
"--chunked-prefill",
256,
"--max-running-requests",
2,
]
run_bench_one_batch_server(
model,
DEFAULT_URL_FOR_TEST,
server_args,
bench_args,
other_server_args,
)
if __name__ == "__main__":
unittest.main()