import os import unittest from types import SimpleNamespace import requests from sglang.srt.utils import kill_process_tree from sglang.test.run_eval import run_eval from sglang.test.test_utils import ( DEFAULT_MLA_MODEL_NAME_FOR_TEST, DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH, DEFAULT_URL_FOR_TEST, popen_launch_server, ) class TestTwoBatchOverlap(unittest.TestCase): @classmethod def setUpClass(cls): cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST cls.base_url = DEFAULT_URL_FOR_TEST cls.process = popen_launch_server( cls.model, cls.base_url, timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH, other_args=[ "--trust-remote-code", "--tp", "2", "--dp", "2", "--enable-dp-attention", "--enable-deepep-moe", "--deepep-mode", "normal", "--disable-cuda-graph", # DeepEP normal does not support CUDA Graph "--enable-two-batch-overlap", ], env={"SGL_ENABLE_JIT_DEEPGEMM": "0", **os.environ}, ) @classmethod def tearDownClass(cls): kill_process_tree(cls.process.pid) def test_generate_single_prompt(self): response = requests.post( self.base_url + "/generate", # we use an uncommon start to minimise the chance that the cache is hit by chance json={ "text": "_ 1+1=2, 1+2=3, 1+3=4, 1+4=", "sampling_params": {"temperature": 0, "max_new_tokens": 8}, }, ) print(f"{response.json()=}") self.assertEquals(response.json()["text"], "5, 1+5=6") def test_mmlu(self): args = SimpleNamespace( base_url=self.base_url, model=self.model, eval_name="mmlu", num_examples=64, num_threads=32, ) metrics = run_eval(args) self.assertGreater(metrics["score"], 0.5) if __name__ == "__main__": unittest.main()