Add a unit test for data parallelism (#1489)

.github/workflows/pr-test.yml

@@ -228,7 +228,7 @@ jobs:
           cd human-eval
           pip install -e .
 
-      - name: Evaluate Accuracy
+      - name: Evaluate Accuracy (TP=2)
         timeout-minutes: 20
         run: |
           cd test/srt
@@ -240,6 +240,12 @@ jobs:
           cd test/srt
           python3 test_mla.py
 
+      - name: Evaluate Data Parallelism Accuracy (TP=2)
+        timeout-minutes: 10
+        run: |
+          cd test/srt
+          python3 test_data_parallelism.py
+
   finish:
     needs: [
       unit-test-frontend, unit-test-backend-part-1, unit-test-backend-part-2, unit-test-backend-part-3,

test/srt/test_data_parallelism.py

+import unittest
+from types import SimpleNamespace
+
+from sglang.srt.utils import kill_child_process
+from sglang.test.run_eval import run_eval
+from sglang.test.test_utils import (
+    DEFAULT_MODEL_NAME_FOR_TEST,
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    popen_launch_server,
+)
+
+
+class TestDataParallelism(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = DEFAULT_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=["--dp", "2"],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_child_process(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)
+        assert metrics["score"] >= 0.65
+
+
+if __name__ == "__main__":
+    unittest.main()