release initial code

Co-authored-by: Ying Sheng <sqy1415@gmail.com>
Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com>
Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu>
Co-authored-by: parasol-aser <3848358+parasol-aser@users.noreply.github.com>
Co-authored-by: LiviaSun <33578456+ChuyueSun@users.noreply.github.com>
Co-authored-by: Cody Yu <hao.yu.cody@gmail.com>

benchmark/mtbench/bench_other.py

@@ -0,0 +1,116 @@
+import argparse
+from concurrent.futures import ThreadPoolExecutor
+from functools import partial
+import json
+import os
+import time
+import uuid
+
+from fastchat.model import get_conversation_template
+import requests
+from sglang.test.test_utils import add_common_other_args_and_parse, call_generate_lightllm, call_generate_vllm, call_generate_srt
+
+
+def load_questions(filename):
+    questions = []
+    with open(filename, "r") as fin:
+        for line in fin:
+            obj = json.loads(line)
+            questions.append(obj)
+    return questions
+
+
+def write_answers(filename, model_id, questions, answers):
+    with open(os.path.expanduser(filename), "w") as fout:
+        for i in range(len(answers)):
+            ans_json = {
+                "question_id": questions[i]["question_id"],
+                "answer_id": uuid.uuid4().hex,
+                "model_id": model_id,
+                "choices": {
+                    "index": 0,
+                    "turns": [answers[i][0], answers[i][1]],
+                },
+                "tstamp": time.time(),
+            }
+            fout.write(json.dumps(ans_json) + "\n")
+
+
+def main(args):
+    questions = load_questions(args.question_file)
+    questions = (questions * 10)[:args.num_questions]
+    max_tokens = 256
+    model_id = "llama-2-chat"
+
+    conv_main = get_conversation_template(model_id)
+
+    # Select backend
+    if args.backend == "lightllm":
+        url = f"{args.host}:{args.port}/generate"
+        call_generate = partial(call_generate_lightllm, url=url, stop=None)
+    elif args.backend == "vllm":
+        url = f"{args.host}:{args.port}/generate"
+        call_generate = partial(call_generate_vllm, url=url, stop=None)
+    elif args.backend == "srt":
+        url = f"{args.host}:{args.port}/generate"
+        call_generate = partial(call_generate_srt, url=url, stop=None)
+    else:
+        raise ValueError(f"Invalid backend: {args.backend}")
+
+    answers = [None] * len(questions)
+
+    def get_answer(i):
+        conv = conv_main.copy()
+        cur_answers = []
+        for j in range(2):
+            q = questions[i]["turns"][j]
+            conv.append_message(conv.roles[0], q)
+            conv.append_message(conv.roles[1], None)
+
+            prompt = conv.get_prompt() 
+            output = call_generate(prompt,
+                temperature=0, max_tokens=max_tokens).strip()
+
+            cur_answers.append(output)
+            conv.update_last_message(output)
+
+        answers[i] = cur_answers
+
+    # Run requests
+    tic = time.time()
+    if args.parallel == 1:
+        for i in range(len(questions)):
+            get_answer(i)
+    else:
+        with ThreadPoolExecutor(args.parallel) as executor:
+            executor.map(get_answer, list(range(len(questions))))
+    latency = time.time() - tic
+
+    print(f"#questions: {len(questions)}, Latency: {latency:.2f}")
+
+    # Write results
+    answer_file = args.answer_file or f"tmp_output_{args.backend}.txt"
+    write_answers(answer_file, model_id, questions, answers)
+
+    with open(args.result_file, "a") as fout:
+        value = {
+            "task": "mtbench",
+            "backend": args.backend,
+            "num_gpus": 1,
+            "latency": round(latency, 3),
+            "num_requests": args.num_questions,
+            "other": {
+                "num_questions": args.num_questions,
+                "parallel": args.parallel,
+            }
+        }
+        fout.write(json.dumps(value) + "\n")
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--question-file", type=str, default="question.jsonl")
+    parser.add_argument("--answer-file", type=str, default=None)
+    parser.add_argument("--num-questions", type=int, default=80)
+    args = add_common_other_args_and_parse(parser)
+    main(args)