""" 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()