134 lines
4.3 KiB
Python
134 lines
4.3 KiB
Python
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-4-gpu-h100")
|
|
|
|
|
|
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()
|