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ci: migrate remaining spec/eagle tests to test/registered/spec/ (#15800)

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This commit is contained in:
Alison Shao
2025-12-29 14:00:00 -08:00
committed by GitHub
parent 9c4eb46099
commit f4ec6f8e17
9 changed files with 59 additions and 5 deletions
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test/registered/spec/eagle/test_eagle_dp_attention.py
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import unittest
from types import SimpleNamespace
import requests
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
from sglang.test.send_one import BenchArgs, send_one_prompt
from sglang.test.test_utils import (
DEFAULT_DRAFT_MODEL_EAGLE_DP_ATTN,
DEFAULT_TARGET_MODEL_EAGLE_DP_ATTN,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
is_in_amd_ci,
is_in_ci,
kill_process_tree,
popen_launch_server,
write_github_step_summary,
)
# EAGLE3 with DP attention (tp=2, dp=2, requires 4 GPUs)
register_cuda_ci(est_time=200, suite="stage-c-test-large-4-gpu")
class TestEAGLE3EngineDPAttention(CustomTestCase):
@classmethod
def setUpClass(cls):
cls.model = DEFAULT_TARGET_MODEL_EAGLE_DP_ATTN
cls.base_url = DEFAULT_URL_FOR_TEST
other_args = [
"--trust-remote-code",
"--speculative-algorithm",
"EAGLE3",
"--speculative-num-steps",
"6",
"--speculative-eagle-topk",
"10",
"--speculative-num-draft-tokens",
"32",
"--speculative-draft-model-path",
DEFAULT_DRAFT_MODEL_EAGLE_DP_ATTN,
"--tp-size",
"2",
"--dp-size",
"2",
"--enable-dp-attention",
"--enable-dp-lm-head",
"--moe-dense-tp-size",
"1",
"--attention-backend",
"fa3",
"--mem-fraction-static",
"0.75",
"--cuda-graph-max-bs",
"64",
]
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):
"""Test GSM8K evaluation - append 'a' to run first alphabetically"""
requests.get(self.base_url + "/flush_cache")
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_few_shot_gsm8k(args)
print(f"{metrics=}")
server_info = requests.get(self.base_url + "/get_server_info")
server_data = server_info.json()
# Try to get avg_spec_accept_length
avg_spec_accept_length = None
if "internal_states" in server_data and len(server_data["internal_states"]) > 0:
internal_state = server_data["internal_states"][0]
if "avg_spec_accept_length" in internal_state:
avg_spec_accept_length = internal_state["avg_spec_accept_length"]
elif "spec_accept_length" in internal_state:
avg_spec_accept_length = internal_state["spec_accept_length"]
print(f"{avg_spec_accept_length=}")
if is_in_ci():
write_github_step_summary(
f"### test_gsm8k (EAGLE3 DP Attention)\n"
f'{metrics["accuracy"]=:.3f}\n'
f"{avg_spec_accept_length=:.2f}\n"
)
self.assertGreater(metrics["accuracy"], 0.91)
if avg_spec_accept_length is not None:
self.assertGreater(avg_spec_accept_length, 2.5)
def test_bs_1_speed(self):
"""Test batch size 1 speed with EAGLE3 DP Attention"""
args = BenchArgs(port=int(self.base_url.split(":")[-1]), max_new_tokens=2048)
acc_length, speed = send_one_prompt(args)
print(f"{acc_length=:.2f} {speed=:.2f}")
if is_in_ci():
write_github_step_summary(
f"### test_bs_1_speed (EAGLE3 DP Attention)\n"
f"{acc_length=:.2f}\n"
f"{speed=:.2f} token/s\n"
)
if is_in_amd_ci():
self.assertGreater(acc_length, 2.0)
else:
self.assertGreater(acc_length, 2.3)
if is_in_amd_ci():
self.assertGreater(speed, 10)
else:
self.assertGreater(speed, 40)
if __name__ == "__main__":
unittest.main()
test/registered/spec/eagle/test_eagle_infer_beta_dp_attention.py
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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.ci.ci_register import register_cuda_ci
from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
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=300, suite="stage-c-test-large-4-gpu-b200")
def test_gsm8k(base_url: str):
requests.get(base_url + "/flush_cache")
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(base_url.split(":")[-1]),
)
metrics = run_eval_few_shot_gsm8k(args)
server_info = requests.get(base_url + "/get_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",
]
with envs.SGLANG_ENABLE_SPEC_V2.override(True):
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.assertGreater(metrics["accuracy"], 0.64)
self.assertGreater(avg_spec_accept_length, 1.4)
if __name__ == "__main__":
unittest.main()