Add accuracy test for TP torch compile (#3994)

.github/workflows/pr-test.yml

@@ -161,6 +161,12 @@ jobs:
           cd test/srt
           python3 test_moe_ep.py
 
+      - name: Test torch compile (TP=2)
+        timeout-minutes: 10
+        run: |
+          cd test/srt
+          python3 test_mla_tp.py
+
   performance-test-1-gpu-part-1:
     needs: filter
     if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') &&

test/srt/test_mla_tp.py

+import unittest
+from types import SimpleNamespace
+
+import torch
+
+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.test_utils import (
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    popen_launch_server,
+)
+
+
+class TestDeepseekTP2(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = "sgl-project/sglang-ci-dsv3-test"
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        other_args = ["--trust-remote-code"]
+        if torch.cuda.is_available() and torch.version.cuda:
+            other_args.extend(
+                ["--tp", "2", "--enable-torch-compile", "--cuda-graph-max-bs", "2"]
+            )
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=other_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)
+        self.assertGreater(metrics["accuracy"], 0.62)
+
+    def test_gsm8k_bs1(self):
+        # test torch compile accuracy for bs=1
+        args = SimpleNamespace(
+            num_shots=5,
+            data_path=None,
+            num_questions=10,
+            max_new_tokens=512,
+            parallel=1,
+            host="http://127.0.0.1",
+            port=int(self.base_url.split(":")[-1]),
+        )
+        metrics = run_eval_few_shot_gsm8k(args)
+        self.assertGreater(metrics["accuracy"], 0.62)
+
+
+if __name__ == "__main__":
+    unittest.main()