import unittest import requests from sglang.srt.environ import envs from sglang.srt.utils import kill_process_tree from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci from sglang.test.kits.ebnf_constrained_kit import EBNFConstrainedMixin from sglang.test.kits.eval_accuracy_kit import GSM8KMixin from sglang.test.kits.json_constrained_kit import JSONConstrainedMixin from sglang.test.kits.radix_cache_server_kit import run_radix_attention_test from sglang.test.kits.regex_constrained_kit import RegexConstrainedMixin from sglang.test.test_utils import ( DEFAULT_IMAGE_URL, DEFAULT_MLA_MODEL_NAME_FOR_TEST, DEFAULT_MODEL_NAME_FOR_TEST_MLA, DEFAULT_TARGET_MODEL_EAGLE_DP_ATTN, DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH, DEFAULT_URL_FOR_TEST, CustomTestCase, is_in_amd_ci, popen_launch_server, ) register_cuda_ci(est_time=443, stage="base-b", runner_config="2-gpu-large") register_amd_ci(est_time=500, suite="stage-b-test-2-gpu-large-amd") @unittest.skipIf(is_in_amd_ci(), "This test case cannot run on ROCm.") class TestDPAttentionDP2TP2( CustomTestCase, GSM8KMixin, JSONConstrainedMixin, EBNFConstrainedMixin, RegexConstrainedMixin, ): gsm8k_accuracy_thres = 0.6 @classmethod def setUpClass(cls): cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA cls.base_url = DEFAULT_URL_FOR_TEST cls._env_override = envs.SGLANG_DISABLE_CONSECUTIVE_PREFILL_OVERLAP.override( True ) cls._env_override.__enter__() cls.process = popen_launch_server( cls.model, cls.base_url, timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH, other_args=[ "--trust-remote-code", "--constrained-json-max-whitespace-cnt", "4", "--tp", "2", "--enable-dp-attention", "--dp", "2", ], ) @classmethod def tearDownClass(cls): kill_process_tree(cls.process.pid) cls._env_override.__exit__(None, None, None) class TestDPAttentionGatherv( CustomTestCase, GSM8KMixin, ): """Exercise the variable-length all_gatherv + reduce_scatterv DP-MoE path (SGLANG_DP_USE_GATHERV=1). The path only activates for the attn_tp_size == 1, tp_size == dp_size layout, which tp2 + dp2 satisfies. Without this test the gatherv/reduce_scatterv code is never exercised by CI (it is gated behind the env var, default off). gsm8k must stay correct since the change is a pure communication reorg, not a numerics change.""" gsm8k_accuracy_thres = 0.6 @classmethod def setUpClass(cls): cls.model = DEFAULT_TARGET_MODEL_EAGLE_DP_ATTN cls.base_url = DEFAULT_URL_FOR_TEST cls.process = popen_launch_server( cls.model, cls.base_url, timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH, env={"SGLANG_DP_USE_GATHERV": "1"}, other_args=[ "--trust-remote-code", "--tp", "2", "--enable-dp-attention", "--dp", "2", "--chunked-prefill-size", "256", ], ) @classmethod def tearDownClass(cls): kill_process_tree(cls.process.pid) @unittest.skipIf(is_in_amd_ci(), "This test case cannot run on ROCm.") class TestDPAttentionMixedChunk( CustomTestCase, GSM8KMixin, ): gsm8k_accuracy_thres = 0.6 @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", "--enable-dp-attention", "--dp", "2", "--enable-mixed-chunk", "--chunked-prefill-size", "256", ], ) @classmethod def tearDownClass(cls): kill_process_tree(cls.process.pid) @unittest.skipIf(is_in_amd_ci(), "This test case cannot run on ROCm.") class TestDPRetract( CustomTestCase, JSONConstrainedMixin, EBNFConstrainedMixin, RegexConstrainedMixin, ): @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", "--enable-dp-attention", "--dp", "2", "--max-total-tokens", "4500", "--max-running-requests", "128", "--chunked-prefill-size", "256", ], ) @classmethod def tearDownClass(cls): kill_process_tree(cls.process.pid) def test_radix_attention(self): with envs.SGLANG_TEST_RETRACT.override(True): run_radix_attention_test(self.base_url) self.assertIsNone(self.process.poll()) @unittest.skipIf(is_in_amd_ci(), "This test case cannot run on ROCm.") class TestDPAttentionDP2TP2VLM(CustomTestCase): @classmethod def setUpClass(cls): cls.model = "moonshotai/Kimi-VL-A3B-Instruct" cls.base_url = DEFAULT_URL_FOR_TEST cls.image_url = DEFAULT_IMAGE_URL cls.process = popen_launch_server( cls.model, cls.base_url, timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH, other_args=[ "--trust-remote-code", "--tp", "2", "--enable-dp-attention", "--dp", "2", ], ) @classmethod def tearDownClass(cls): kill_process_tree(cls.process.pid) def test_vlm_generate(self): # Go through /v1/chat/completions so the server inserts the model's own # image placeholder instead of the test guessing one. response = requests.post( self.base_url + "/v1/chat/completions", json={ "model": "default", "messages": [ { "role": "user", "content": [ { "type": "image_url", "image_url": {"url": self.image_url}, }, {"type": "text", "text": "What is in this image?"}, ], } ], "temperature": 0, "max_tokens": 16, }, ) response.raise_for_status() response_json = response.json() print(response_json) self.assertTrue(response_json["choices"][0]["message"]["content"]) # image_tokens comes from the prefill's multimodal item offsets, so a # non-zero count is what proves the image reached the vision tower. usage_details = response_json["usage"].get("prompt_tokens_details") self.assertIsNotNone(usage_details, "prompt carried no multimodal tokens") self.assertGreater(usage_details.get("image_tokens", 0), 0) if __name__ == "__main__": unittest.main()