Reorganize CI and test files (#9027)

2025-08-10 12:30:06 -07:00
parent b58ae7a2a0
commit 2c7f01bc89
66 changed files with 161 additions and 195 deletions
--- a/test/srt/ep/test_moe_deepep.py
+++ b/test/srt/ep/test_moe_deepep.py
@@ -0,0 +1,119 @@
+import json
+import os
+import unittest
+from types import SimpleNamespace
+
+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,
+    CustomTestCase,
+    popen_launch_server,
+)
+
+
+class TestPureTP(CustomTestCase):
+    @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",
+                "--moe-a2a-backend",
+                "deepep",
+                "--disable-cuda-graph",
+            ],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    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)
+
+
+class TestDPAttn(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",
+                "--moe-a2a-backend",
+                "deepep",
+                "--deepep-mode",
+                "normal",
+                "--disable-cuda-graph",
+                # Test custom config
+                "--deepep-config",
+                json.dumps(
+                    {
+                        "normal_dispatch": {
+                            "num_sms": 20,
+                            "num_max_nvl_chunked_send_tokens": 16,
+                            "num_max_nvl_chunked_recv_tokens": 256,
+                            "num_max_rdma_chunked_send_tokens": 6,
+                            "num_max_rdma_chunked_recv_tokens": 128,
+                        },
+                        "normal_combine": {
+                            "num_sms": 20,
+                            "num_max_nvl_chunked_send_tokens": 6,
+                            "num_max_nvl_chunked_recv_tokens": 256,
+                            "num_max_rdma_chunked_send_tokens": 6,
+                            "num_max_rdma_chunked_recv_tokens": 128,
+                        },
+                    }
+                ),
+            ],
+            env={
+                "SGL_ENABLE_JIT_DEEPGEMM": "0",
+                **os.environ,
+            },
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    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()