Reorganize CI and test files (#9027)

test/srt/ep/test_moe_deepep_eval_accuracy_large.py

@@ -0,0 +1,75 @@
+"""
+Usage:
+python -m unittest test_moe_deepep_eval_accuracy_large.TestMoEDeepEPEvalAccuracyLarge.test_mmlu
+"""
+
+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.run_eval import run_eval
+from sglang.test.test_utils import (
+    DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST,
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    popen_launch_server,
+)
+
+
+class TestMoEDeepEPEvalAccuracyLarge(CustomTestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = DEFAULT_DEEPPEP_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",
+                "8",
+                "--moe-a2a-backend",
+                "deepep",
+                "--cuda-graph-max-bs",
+                "128",
+            ],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    def test_gsm8k(self):
+        args = SimpleNamespace(
+            num_shots=8,
+            data_path=None,
+            num_questions=200,
+            parallel=64,
+            max_new_tokens=512,
+            host="http://127.0.0.1",
+            port=int(self.base_url.split(":")[-1]),
+        )
+        metrics = run_eval_few_shot_gsm8k(args)
+        print(f"Eval accuracy of GSM8K: {metrics=}")
+
+        self.assertGreater(metrics["accuracy"], 0.93)
+
+    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)
+        print(f"Eval accuracy of MMLU: {metrics=}")
+        self.assertGreater(metrics["score"], 0.87)
+
+
+if __name__ == "__main__":
+    unittest.main()