Add graph runner support with torch compile on CPU (#7843)

test/srt/test_cpu_graph.py

@@ -0,0 +1,87 @@
+"""
+Usage:
+python3 -m unittest test_cpu_graph.TestCPUGraph.test_mmlu_torch_compile_cpu
+"""
+
+import copy
+import os
+import unittest
+from types import SimpleNamespace
+
+from test_intel_amx_attention_backend import intel_amx_benchmark
+
+from sglang.srt.utils import get_cpu_ids_by_node, 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,
+)
+
+
+class TestCPUGraph(CustomTestCase):
+
+    @intel_amx_benchmark(
+        extra_args=[
+            "--batch-size",
+            "1",
+            "--mem-fraction-static",
+            "0.05",
+            "--enable-torch-compile",
+            "--torch-compile-max-bs",
+            "1",
+        ],
+        min_throughput=10,
+    )
+    def test_latency_torch_compile_cpu(self):
+        return DEFAULT_MLA_MODEL_NAME_FOR_TEST
+
+    def test_mmlu_torch_compile_cpu(self):
+        model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
+        base_url = DEFAULT_URL_FOR_TEST
+        cpu_ids_by_node = get_cpu_ids_by_node()
+        n_numa_node = len(cpu_ids_by_node)
+        env = copy.deepcopy(os.environ)
+        env["SGLANG_CPU_OMP_THREADS_BIND"] = "all"
+        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",
+                "--enable-torch-compile",
+                "--torch-compile-max-bs",
+                "1",
+                "--tp",
+                f"{n_numa_node}",
+            ],
+            env=env,
+        )
+
+        try:
+            args = SimpleNamespace(
+                base_url=base_url,
+                model=model,
+                eval_name="mmlu",
+                num_examples=64,
+                num_threads=32,
+            )
+
+            metrics = run_eval(args)
+            if is_in_ci():
+                self.assertGreater(metrics["score"], 0.45)
+        finally:
+            kill_process_tree(process.pid)
+
+
+if __name__ == "__main__":
+    unittest.main()