[CI] Trim redundant B200 test registrations (#33586)

This commit is contained in:
Liangsheng Yin
2026-08-04 13:22:00 -07:00
committed by GitHub
parent aa06433709
commit 0753663b8e
9 changed files with 4 additions and 270 deletions
@@ -21,10 +21,7 @@ from sglang.test.test_utils import (
)
# EAGLE3 with DP attention (tp=2, dp=2, requires 4 GPUs).
# Per-commit EAGLE + DP-attn coverage on CUDA is provided by
# test_eagle_infer_beta_dp_attention.py (B200 4-gpu), so this H100 variant
# is gated to extra-b only.
register_cuda_ci(est_time=99, stage="extra-b", runner_config="4-gpu-h100")
register_cuda_ci(est_time=99, stage="base-c", runner_config="4-gpu-h100")
register_amd_ci(est_time=200, suite="stage-c-test-4-gpu-amd")
@@ -1,85 +0,0 @@
import unittest
from types import SimpleNamespace
import requests
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
DEFAULT_MODEL_NAME_FOR_TEST_MLA,
DEFAULT_MODEL_NAME_FOR_TEST_MLA_NEXTN,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
popen_launch_server,
)
# EAGLE with DP attention on B200 (tp=2, dp=2, requires 4 B200 GPUs)
register_cuda_ci(est_time=90, stage="base-c", runner_config="4-gpu-b200")
def test_gsm8k(base_url: str, model: str):
requests.get(base_url + "/flush_cache")
args = SimpleNamespace(
base_url=base_url,
model=model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=200,
num_threads=128,
)
metrics = run_eval(args)
server_info = requests.get(base_url + "/server_info")
avg_spec_accept_length = server_info.json()["internal_states"][0][
"avg_spec_accept_length"
]
print(f"{metrics=}")
print(f"{avg_spec_accept_length=}")
return metrics, avg_spec_accept_length
class TestEagleDPAttnServerSmall(CustomTestCase):
@classmethod
def setUpClass(cls):
cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
cls.base_url = DEFAULT_URL_FOR_TEST
other_args = [
"--tp-size",
"2",
"--dp-size",
"2",
"--enable-dp-attention",
"--speculative-draft-model-path",
DEFAULT_MODEL_NAME_FOR_TEST_MLA_NEXTN,
"--speculative-algorithm",
"EAGLE",
"--speculative-num-steps",
"3",
"--speculative-eagle-topk",
"1",
"--speculative-num-draft-tokens",
"4",
]
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=other_args,
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_a_gsm8k(self):
metrics, avg_spec_accept_length = test_gsm8k(self.base_url, self.model)
self.assertGreater(metrics["score"], 0.62)
self.assertGreater(avg_spec_accept_length, 2.7)
if __name__ == "__main__":
unittest.main()