Add V2-lite model test (#7390)

Co-authored-by: DiweiSun <105627594+DiweiSun@users.noreply.github.com>

test/srt/test_intel_amx_attention_backend.py

@@ -0,0 +1,79 @@
+"""
+Usage:
+python3 -m unittest test_intel_amx_attention_backend.TestIntelAMXAttnBackend.test_mmlu
+"""
+
+import unittest
+from types import SimpleNamespace
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.run_eval import run_eval
+from sglang.test.test_utils import (
+    DEFAULT_MLA_MODEL_NAME_FOR_TEST,
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    is_in_ci,
+    popen_launch_server,
+    run_bench_one_batch,
+)
+
+
+class TestIntelAMXAttnBackend(CustomTestCase):
+    def test_latency(self):
+        prefill_latency, decode_throughput, decode_latency = run_bench_one_batch(
+            DEFAULT_MLA_MODEL_NAME_FOR_TEST,
+            [
+                "--attention-backend",
+                "intel_amx",
+                "--mem-fraction-static",
+                "0.05",
+                "--disable-radix",
+                "--trust-remote-code",
+                "--batch-size",
+                "4",
+            ],
+        )
+
+        print(f"{prefill_latency=}")
+        print(f"{decode_throughput=}")
+        print(f"{decode_latency=}")
+
+        if is_in_ci():
+            self.assertGreater(decode_throughput, 10)
+
+    def test_mmlu(self):
+        model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
+        base_url = DEFAULT_URL_FOR_TEST
+        process = popen_launch_server(
+            model,
+            base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=[
+                "--attention-backend",
+                "intel_amx",
+                "--mem-fraction-static",
+                "0.05",
+                "--disable-radix",
+                "--trust-remote-code",
+                "--disable-overlap-schedule",
+            ],
+        )
+
+        try:
+            args = SimpleNamespace(
+                base_url=base_url,
+                model=model,
+                eval_name="mmlu",
+                num_examples=64,
+                num_threads=32,
+            )
+
+            metrics = run_eval(args)
+            self.assertGreater(metrics["score"], 0.5)
+        finally:
+            kill_process_tree(process.pid)
+
+
+if __name__ == "__main__":
+    unittest.main()