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[CI] test chunked prefill more (#5798)

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This commit is contained in:
Lianmin Zheng
2025-04-28 10:57:17 -07:00
committed by GitHub
parent d73ddeb196
commit 849c83a0c0
15 changed files with 212 additions and 97 deletions
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52
test/srt/test_full_deepseek_v3.py
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@@ -5,13 +5,13 @@ import requests
from sglang.srt.utils import kill_process_tree
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_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
is_in_ci,
popen_launch_server,
run_bench_one_batch,
write_github_step_summary,
)
@@ -48,22 +48,23 @@ class TestDeepseekV3(CustomTestCase):
metrics = run_eval_few_shot_gsm8k(args)
print(f"{metrics=}")
self.assertGreater(metrics["accuracy"], 0.935)
if is_in_ci():
write_github_step_summary(
f"### test_gsm8k (deepseek-v3)\n" f'{metrics["accuracy"]=:.3f}\n'
)
self.assertGreater(metrics["accuracy"], 0.935)
def test_bs_1_speed(self):
args = BenchArgs(port=int(self.base_url.split(":")[-1]), max_new_tokens=2048)
acc_length, speed = send_one_prompt(args)
class TestBenchOneBatch(CustomTestCase):
def test_bs1(self):
output_throughput = run_bench_one_batch(
FULL_DEEPSEEK_V3_MODEL_PATH,
["--trust-remote-code", "--tp", "8", "--cuda-graph-max-bs", "2"],
)
print(f"{output_throughput=:.2f} token/s")
print(f"{speed=:.2f}")
if is_in_ci():
write_github_step_summary(
f"### test_bs1 (deepseek-v3)\n" f"{output_throughput=:.2f} token/s\n"
f"### test_bs_1_speed (deepseek-v3)\n" f"{speed=:.2f} token/s\n"
)
self.assertGreater(output_throughput, 70)
self.assertGreater(speed, 75)
class TestDeepseekV3MTP(CustomTestCase):
@@ -80,13 +81,13 @@ class TestDeepseekV3MTP(CustomTestCase):
"--speculative-draft",
"lmsys/DeepSeek-V3-0324-NextN",
"--speculative-num-steps",
"5",
"3",
"--speculative-eagle-topk",
"4",
"2",
"--speculative-num-draft-tokens",
"8",
"4",
"--mem-fraction-static",
"0.6",
"0.7",
]
cls.process = popen_launch_server(
cls.model,
@@ -113,19 +114,34 @@ class TestDeepseekV3MTP(CustomTestCase):
)
metrics = run_eval_few_shot_gsm8k(args)
print(f"{metrics=}")
self.assertGreater(metrics["accuracy"], 0.94)
server_info = requests.get(self.base_url + "/get_server_info")
avg_spec_accept_length = server_info.json()["avg_spec_accept_length"]
print(f"{avg_spec_accept_length=}")
self.assertGreater(avg_spec_accept_length, 3.2)
if is_in_ci():
write_github_step_summary(
f"### test_gsm8k (deepseek-v3)\n"
f"### test_gsm8k (deepseek-v3 mtp)\n"
f'{metrics["accuracy"]=:.3f}\n'
f"{avg_spec_accept_length=:.2f}\n"
)
self.assertGreater(metrics["accuracy"], 0.935)
self.assertGreater(avg_spec_accept_length, 2.9)
def test_bs_1_speed(self):
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 (deepseek-v3 mtp)\n"
f"{acc_length=:.2f}\n"
f"{speed=:.2f} token/s\n"
)
self.assertGreater(acc_length, 2.9)
self.assertGreater(speed, 105)
if __name__ == "__main__":