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sglang/test/registered/perf/test_text_models_perf.py

63 lines
2.4 KiB
Python

import unittest
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.nightly_utils import NightlyBenchmarkRunner
from sglang.test.test_utils import (
DEFAULT_URL_FOR_TEST,
ModelLaunchSettings,
_parse_int_list_env,
parse_models,
)
register_cuda_ci(est_time=3600, suite="nightly-perf-text-2-gpu", nightly=True)
PROFILE_DIR = "performance_profiles_text_models"
class TestNightlyTextModelsPerformance(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.models = []
# TODO: replace with DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP1 or other model lists
for model_path in parse_models("meta-llama/Llama-3.1-8B-Instruct"):
cls.models.append(ModelLaunchSettings(model_path, tp_size=1))
for model_path in parse_models("Qwen/Qwen2-57B-A14B-Instruct"):
cls.models.append(ModelLaunchSettings(model_path, tp_size=2))
# (parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP1), False, False),
# (parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP2), False, True),
# (parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP1), True, False),
# (parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP2), True, True),
cls.base_url = DEFAULT_URL_FOR_TEST
cls.batch_sizes = [1, 1, 8, 16, 64]
cls.input_lens = tuple(_parse_int_list_env("NIGHTLY_INPUT_LENS", "4096"))
cls.output_lens = tuple(_parse_int_list_env("NIGHTLY_OUTPUT_LENS", "512"))
cls.runner = NightlyBenchmarkRunner(PROFILE_DIR, cls.__name__, cls.base_url)
cls.runner.setup_profile_directory()
def test_bench_one_batch(self):
all_model_succeed = True
for model_setup in self.models:
with self.subTest(model=model_setup.model_path):
results, success, _ = self.runner.run_benchmark_for_model(
model_path=model_setup.model_path,
batch_sizes=self.batch_sizes,
input_lens=self.input_lens,
output_lens=self.output_lens,
other_args=model_setup.extra_args,
)
if not success:
all_model_succeed = False
self.runner.add_report(results)
self.runner.write_final_report()
if not all_model_succeed:
raise AssertionError("Some models failed the perf tests.")
if __name__ == "__main__":
unittest.main()