import os import unittest from types import SimpleNamespace import requests from sglang.srt.utils import is_cuda, is_hip, kill_process_tree from sglang.test.run_eval import run_eval from sglang.test.test_utils import ( DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH, DEFAULT_URL_FOR_TEST, CustomTestCase, is_in_ci, popen_launch_server, ) class TestMLADeepseekV3(CustomTestCase): @classmethod def setUpClass(cls): cls.model = "lmsys/sglang-ci-dsv3-test" cls.base_url = DEFAULT_URL_FOR_TEST other_args = ["--trust-remote-code", "--chunked-prefill-size", "256"] if is_cuda(): other_args.extend( ["--enable-torch-compile", "--cuda-graph-max-bs-decode", "2"] ) 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_gsm8k(self): args = SimpleNamespace( base_url=self.base_url, model=self.model, eval_name="gsm8k", api="completion", max_tokens=512, num_examples=200, num_threads=128, ) metrics = run_eval(args) print(metrics) self.assertGreater(metrics["score"], 0.60) @unittest.skipIf(is_in_ci(), "To reduce the CI execution time.") class TestMLADeepseekV3DisableFusedFunc(CustomTestCase): @classmethod def setUpClass(cls): os.environ["SGLANG_CI_DISABLE_MOE_FUSED_FUNC"] = "1" cls.model = "lmsys/sglang-ci-dsv3-test" cls.base_url = DEFAULT_URL_FOR_TEST other_args = ["--trust-remote-code", "--chunked-prefill-size", "256"] if is_cuda(): other_args.extend(["--cuda-graph-max-bs-decode", "2"]) 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_gsm8k(self): args = SimpleNamespace( base_url=self.base_url, model=self.model, eval_name="gsm8k", api="completion", max_tokens=512, num_examples=200, num_threads=128, ) metrics = run_eval(args) print(metrics) self.assertGreater(metrics["score"], 0.62) @unittest.skipIf(is_hip(), "FA is not available.") class TestMLADeepseekV3Fa3Fp8Kvcache(CustomTestCase): @classmethod def setUpClass(cls): cls.model = "lmsys/sglang-ci-dsv3-test" cls.base_url = DEFAULT_URL_FOR_TEST other_args = [ "--trust-remote-code", "--chunked-prefill-size", "256", "--kv-cache-dtype", "fp8_e4m3", ] if is_cuda(): other_args.extend( [ "--attention-backend", "fa3", "--mem-fraction-static", "0.8", "--cuda-graph-max-bs-decode", "2", ] ) 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_gsm8k(self): args = SimpleNamespace( base_url=self.base_url, model=self.model, eval_name="gsm8k", api="completion", max_tokens=512, num_examples=200, num_threads=128, ) metrics = run_eval(args) print(metrics) self.assertGreater(metrics["score"], 0.60) class TestDeepseekV3MTP(CustomTestCase): @classmethod def setUpClass(cls): cls.model = "lmsys/sglang-ci-dsv3-test" cls.base_url = DEFAULT_URL_FOR_TEST other_args = [ "--trust-remote-code", "--cuda-graph-max-bs-decode", "2", "--disable-radix", "--enable-torch-compile", "--torch-compile-max-bs", "1", "--speculative-algorithm", "EAGLE", "--speculative-num-steps", "2", "--speculative-eagle-topk", "4", "--speculative-num-draft-tokens", "4", ] # This test runs first (alphabetically) and needs longer timeout for # DeepGEMM JIT compilation which is required for DeepSeek-V3's FP8 MoE layers cls.process = popen_launch_server( cls.model, cls.base_url, timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH * 2, other_args=other_args, ) @classmethod def tearDownClass(cls): kill_process_tree(cls.process.pid) def test_gsm8k(self): requests.get(self.base_url + "/flush_cache") args = SimpleNamespace( base_url=self.base_url, model=self.model, eval_name="gsm8k", api="completion", max_tokens=512, num_examples=200, num_threads=128, ) metrics = run_eval(args) print(metrics) self.assertGreater(metrics["score"], 0.60) server_info = requests.get(self.base_url + "/server_info") avg_spec_accept_length = server_info.json()["internal_states"][0][ "avg_spec_accept_length" ] print(f"{avg_spec_accept_length=}") self.assertGreater(avg_spec_accept_length, 2.5) if __name__ == "__main__": unittest.main()