[HiSparse]: Add HiSpares-DSA Model's nightly CI (#22425)

Co-authored-by: 晟海 <huangtingwei.htw@antgroup.com>
Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu>

test/registered/8-gpu-models/test_dsa_models_hisparse.py

@@ -0,0 +1,84 @@
+import unittest
+from types import SimpleNamespace
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.ci.ci_register import register_cuda_ci
+from sglang.test.run_eval import run_eval
+from sglang.test.test_utils import (
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    is_in_ci,
+    popen_launch_server,
+    write_github_step_summary,
+)
+
+register_cuda_ci(est_time=720, suite="stage-c-test-8-gpu-h200", nightly=True)
+
+GLM5_MODEL_PATH = "zai-org/GLM-5-FP8"
+
+
+class TestGLM5DPHiSparse(CustomTestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = GLM5_MODEL_PATH
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        other_args = [
+            "--trust-remote-code",
+            "--tp",
+            "8",
+            "--dp",
+            "8",
+            "--enable-dp-attention",
+            "--page-size",
+            "64",
+            "--max-running-requests",
+            "200",
+            "--mem-fraction-static",
+            "0.85",
+            "--disable-radix-cache",
+            "--kv-cache-dtype",
+            "bfloat16",
+            "--nsa-decode-backend",
+            "flashmla_sparse",
+            "--enable-hisparse",
+            "--hisparse-config",
+            '{"top_k": 2048, "device_buffer_size": 4096, "host_to_device_ratio": 5}',
+            "--model-loader-extra-config",
+            '{"enable_multithread_load": true, "num_threads": 64}',
+        ]
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=7200,
+            other_args=other_args,
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    def test_a_gsm8k(
+        self,
+    ):  # Append an "a" to make this test run first (alphabetically) to warm up the server
+        args = SimpleNamespace(
+            base_url=self.base_url,
+            model=self.model,
+            eval_name="gsm8k",
+            api="completion",
+            max_tokens=4000,
+            num_examples=500,
+            num_threads=100,
+            num_shots=24,
+        )
+        metrics = run_eval(args)
+        print(f"{metrics=}")
+
+        if is_in_ci():
+            write_github_step_summary(
+                f"### test_gsm8k (glm-5 hisparse)\n" f'{metrics["score"]=:.3f}\n'
+            )
+            self.assertGreater(metrics["score"], 0.94)
+
+
+if __name__ == "__main__":
+    unittest.main()