Files
sglang/test/registered/8-gpu-models/test_deepseek_v31.py
2026-02-14 23:00:33 +08:00

76 lines
2.4 KiB
Python

import unittest
from sglang.test.accuracy_test_runner import AccuracyTestParams
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.performance_test_runner import PerformanceTestParams
from sglang.test.run_combined_tests import run_combined_tests
from sglang.test.test_utils import ModelLaunchSettings
# Runs on both H200 and B200 via nightly-8-gpu-common suite
register_cuda_ci(est_time=5400, suite="nightly-8-gpu-common", nightly=True)
DEEPSEEK_V31_MODEL_PATH = "deepseek-ai/DeepSeek-V3.1"
class TestDeepseekV31(unittest.TestCase):
"""Unified test class for DeepSeek-V3.1 performance and accuracy.
Two variants:
- basic: Standard TP=8
- mtp: TP=8 + EAGLE speculative decoding
Each variant runs BOTH:
- Performance test (using NightlyBenchmarkRunner)
- Accuracy test (using run_eval with mgsm_en)
"""
def test_deepseek_v31_all_variants(self):
"""Run performance and accuracy for all DeepSeek-V3.1 variants."""
# Define base arguments shared by most variants
base_args = [
"--tp=8",
"--trust-remote-code",
"--model-loader-extra-config",
'{"enable_multithread_load": true}',
]
mtp_args = [
"--speculative-algorithm=EAGLE",
"--speculative-num-steps=3",
"--speculative-eagle-topk=1",
"--speculative-num-draft-tokens=4",
"--mem-frac=0.7",
]
variants = [
# Variant: "basic" - Standard TP=8
ModelLaunchSettings(
DEEPSEEK_V31_MODEL_PATH,
tp_size=8,
extra_args=base_args,
variant="TP8",
),
# Variant: "mtp" - TP=8 + EAGLE speculative decoding
ModelLaunchSettings(
DEEPSEEK_V31_MODEL_PATH,
tp_size=8,
extra_args=base_args + mtp_args,
env={"SGLANG_ENABLE_SPEC_V2": "1"},
variant="TP8+MTP",
),
]
run_combined_tests(
models=variants,
test_name="DeepSeek-V3.1",
accuracy_params=AccuracyTestParams(
dataset="gsm8k", baseline_accuracy=0.935
),
performance_params=PerformanceTestParams(
profile_dir="performance_profiles_deepseek_v31",
),
)
if __name__ == "__main__":
unittest.main()