adapt to sglang v0.5.2rc1 on dcu

test/srt/test_pytorch_sampling_backend.py

@@ -0,0 +1,90 @@
+import unittest
+from types import SimpleNamespace
+
+import requests
+
+from sglang.srt.utils import kill_process_tree
+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,
+    CustomTestCase,
+    popen_launch_server,
+)
+
+
+class TestPyTorchSamplingBackend(CustomTestCase):
+    @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=["--sampling-backend", "pytorch", "--disable-radix-cache"],
+        )
+
+    @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,
+            temperature=0.1,
+        )
+
+        metrics = run_eval(args)
+        self.assertGreaterEqual(metrics["score"], 0.65)
+
+    def test_greedy(self):
+
+        first_text = None
+
+        # ensure the answer is identical across single response
+        for _ in range(5):
+            response_single = requests.post(
+                self.base_url + "/generate",
+                json={
+                    "text": "The capital of Germany is",
+                    "sampling_params": {
+                        "temperature": 0,
+                        "max_new_tokens": 32,
+                    },
+                },
+            ).json()
+            text = response_single["text"]
+            if first_text is None:
+                first_text = text
+
+            self.assertEqual(text, first_text)
+
+        first_text = None
+
+        response_batch = requests.post(
+            self.base_url + "/generate",
+            json={
+                "text": ["The capital of Germany is"] * 10,
+                "sampling_params": {
+                    "temperature": 0,
+                    "max_new_tokens": 32,
+                },
+            },
+        ).json()
+
+        # ensure the answer is identical among the batch
+        for i in range(10):
+            text = response_batch[i]["text"]
+            if first_text is None:
+                first_text = text
+            self.assertEqual(text, first_text)
+
+
+if __name__ == "__main__":
+    unittest.main()