[CI] Remove more redundant PCG tests (#21554)

This commit is contained in:
Mohammad Miadh Angkad
2026-03-31 16:25:30 -07:00
committed by GitHub
parent 8c66f4a90f
commit 883ba640b2
3 changed files with 0 additions and 170 deletions
@@ -1,72 +0,0 @@
"""
GPT-OSS piecewise CUDA graph tests.
"""
import unittest
from types import SimpleNamespace
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.few_shot_gsm8k import run_eval
from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
popen_launch_server,
)
register_cuda_ci(
est_time=400,
suite="stage-b-test-2-gpu-large",
)
GPT_OSS_MODEL = "openai/gpt-oss-120b"
ACC_THRESHOLDS = {
GPT_OSS_MODEL: {"gsm8k": 0.81},
}
class TestGptOssPiecewiseCudaGraph(CustomTestCase):
@classmethod
def setUpClass(cls):
cls.model = GPT_OSS_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",
"2",
"--trust-remote-code",
"--reasoning-parser",
"gpt-oss",
"--enable-piecewise-cuda-graph",
],
)
@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.assertGreaterEqual(
metrics["accuracy"], ACC_THRESHOLDS[self.model]["gsm8k"]
)
if __name__ == "__main__":
unittest.main()
@@ -1,69 +0,0 @@
"""
Kimi-Linear piecewise CUDA graph tests.
"""
import unittest
from types import SimpleNamespace
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.few_shot_gsm8k import run_eval
from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
popen_launch_server,
)
register_cuda_ci(
est_time=100,
suite="stage-b-test-2-gpu-large",
)
KIMI_LINEAR_MODEL = "moonshotai/Kimi-Linear-48B-A3B-Instruct"
ACC_THRESHOLDS = {
KIMI_LINEAR_MODEL: {"gsm8k": 0.88},
}
class TestKimiLinearPiecewiseCudaGraph(CustomTestCase):
@classmethod
def setUpClass(cls):
cls.model = KIMI_LINEAR_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",
"2",
"--trust-remote-code",
],
)
@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.assertGreaterEqual(
metrics["accuracy"], ACC_THRESHOLDS[self.model]["gsm8k"]
)
if __name__ == "__main__":
unittest.main()
@@ -1,29 +0,0 @@
"""
Qwen3 Next piecewise CUDA graph tests.
"""
import unittest
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.kits.eval_accuracy_kit import GSM8KMixin
from sglang.test.server_fixtures.default_fixture import DefaultServerBase
register_cuda_ci(
est_time=400,
suite="stage-c-test-4-gpu-h100",
)
QWEN3_NEXT_MODEL = "Qwen/Qwen3-Next-80B-A3B-Instruct"
class TestQwen3NextPiecewiseCudaGraph(GSM8KMixin, DefaultServerBase):
model = QWEN3_NEXT_MODEL
gsm8k_accuracy_thres = 0.93
other_args = [
"--tp",
"4",
]
if __name__ == "__main__":
unittest.main()