Torch compile CI throughput test (#1223)

test/srt/test_torch_compile.py

 import unittest
 from types import SimpleNamespace
 
+import requests
+
 from sglang.srt.utils import kill_child_process
 from sglang.test.run_eval import run_eval
 from sglang.test.test_utils import (
@@ -20,7 +22,7 @@ class TestTorchCompile(unittest.TestCase):
             cls.model,
             cls.base_url,
             timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
-            other_args=["--enable-torch-compile"],
+            other_args=["--enable-torch-compile", "--disable-radix-cache"],
         )
 
     @classmethod
@@ -39,6 +41,33 @@ class TestTorchCompile(unittest.TestCase):
         metrics = run_eval(args)
         assert metrics["score"] >= 0.6
 
+    def run_decode(self, max_new_tokens):
+        response = requests.post(
+            self.base_url + "/generate",
+            json={
+                "text": "The capital of France is",
+                "sampling_params": {
+                    "temperature": 0,
+                    "max_new_tokens": max_new_tokens,
+                },
+                "ignore_eos": True,
+            },
+        )
+        return response.json()
+
+    def test_throughput(self):
+        import time
+
+        max_tokens = 256
+
+        tic = time.time()
+        res = self.run_decode(max_tokens)
+        tok = time.time()
+        print(res["text"])
+        throughput = max_tokens / (tok - tic)
+        print(f"Throughput: {throughput} tokens/s")
+        assert throughput >= 152
+
 
 if __name__ == "__main__":
     unittest.main()