Re-introduce the unit test of test_mooncake_ep_small (#16019)

test/srt/ep/test_mooncake_ep_small.py

@@ -0,0 +1,146 @@
+import unittest
+from types import SimpleNamespace
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
+from sglang.test.server_fixtures.disaggregation_fixture import get_rdma_devices_args
+from sglang.test.test_utils import (
+    DEFAULT_MODEL_NAME_FOR_TEST_MLA,
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    popen_launch_server,
+)
+
+ib_devices = get_rdma_devices_args()
+
+
+class TestTP(CustomTestCase):
+    extra_args = []
+
+    @classmethod
+    def setUpClass(cls):
+        cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
+        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",
+                "4",
+                "--elastic-ep-backend",
+                "mooncake",
+                "--mooncake-ib-device",
+                ib_devices,
+                "--moe-a2a-backend",
+                "mooncake",
+                "--deepep-mode",
+                "low_latency",
+                "--chunked-prefill-size",
+                "512",
+                "--cuda-graph-max-bs",
+                "128",
+                "--max-running-requests",
+                "512",
+                "--mem-fraction-static",
+                "0.5",
+                *cls.extra_args,
+            ],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    def test_gsm8k(self):
+        args = SimpleNamespace(
+            num_shots=5,
+            data_path=None,
+            num_questions=200,
+            max_new_tokens=512,
+            parallel=128,
+            host="http://127.0.0.1",
+            port=int(self.base_url.split(":")[-1]),
+        )
+        metrics = run_eval_few_shot_gsm8k(args)
+        print(metrics)
+
+        self.assertGreater(metrics["accuracy"], 0.60)
+
+
+@unittest.skip("covered in TestMooncakeWithEPLB")
+class TestPureDP(TestTP):
+    extra_args = [
+        "--tp",
+        "4",
+        "--enable-dp-attention",
+        "--dp",
+        "4",
+    ]
+
+
+class TestHybridDPTP(TestTP):
+    extra_args = [
+        "--tp",
+        "4",
+        "--enable-dp-attention",
+        "--dp",
+        "2",
+    ]
+
+
+@unittest.skip("covered in TestMooncakeWithEPLB")
+class TestNoGatherdBuffer(TestTP):
+    extra_args = [
+        "--tp",
+        "4",
+        "--enable-dp-attention",
+        "--dp",
+        "4",
+        "--moe-dense-tp-size",
+        "1",
+    ]
+
+
+@unittest.skip("covered in TestMooncakeWithEPLB")
+class TestTBO(TestTP):
+    extra_args = [
+        "--tp",
+        "4",
+        "--enable-dp-attention",
+        "--dp",
+        "4",
+        "--moe-dense-tp-size",
+        "1",
+        "--enable-two-batch-overlap",
+    ]
+
+
+class TestMooncakeWithEPLB(TestTP):
+    extra_args = [
+        "--tp",
+        "4",
+        "--enable-dp-attention",
+        "--dp",
+        "4",
+        "--moe-dense-tp-size",
+        "1",
+        "--enable-two-batch-overlap",
+        "--enable-eplb",
+        "--ep-num-redundant-experts",
+        "4",
+        "--eplb-rebalance-num-iterations",
+        "50",
+        "--expert-distribution-recorder-buffer-size",
+        "50",
+        "--expert-distribution-recorder-mode",
+        "stat",
+        "--ep-dispatch-algorithm",
+        "static",
+    ]
+
+
+if __name__ == "__main__":
+    unittest.main()

test/srt/run_suite.py

@@ -45,8 +45,7 @@ suites = {
     ],
     "per-commit-4-gpu-deepep": [
         TestFile("ep/test_deepep_small.py", 531),
-        # TODO: Add it back after mooncake supports torch 2.9
-        # TestFile("ep/test_mooncake_ep_small.py", 450),
+        TestFile("ep/test_mooncake_ep_small.py", 660),
     ],
     "per-commit-8-gpu-h200-deepep": [
         TestFile("ep/test_deepep_large.py", 563),