sglang0.4.5.post1/benchmark/multi_turn_chat/bench_sglang.py

80 lines
2.2 KiB
Python

import json
import time
from argparse import ArgumentParser
from data_gen import gen_arguments
from vllm.transformers_utils.tokenizer import get_tokenizer
import sglang as sgl
from sglang.test.test_utils import (
add_common_sglang_args_and_parse,
select_sglang_backend,
)
from sglang.utils import dump_state_text
@sgl.function
def multi_turns(s, qas):
for qa in qas:
s += qa["prompt"]
s += sgl.gen(max_tokens=qa["new_tokens"], ignore_eos=True)
def main(args):
tokenizer = get_tokenizer(args.tokenizer, trust_remote_code=args.trust_remote_code)
multi_qas = gen_arguments(args, tokenizer)
backend = select_sglang_backend(args)
tic = time.time()
states = multi_turns.run_batch(
multi_qas,
temperature=0,
backend=backend,
num_threads=args.parallel,
progress_bar=True,
)
latency = time.time() - tic
print(f"Latency: {latency:.3f}")
dump_state_text(f"tmp_output_{args.backend}.txt", states)
with open(args.result_file, "a") as fout:
value = {
"task": "multi_turn_chat",
"backend": args.backend,
"num_gpus": 1,
"latency": round(latency, 3),
"num_requests": args.num_qa,
"num_turns": args.turns,
"other": {
"parallel": args.parallel,
"output_mode": "long" if args.long else "short",
},
}
fout.write(json.dumps(value) + "\n")
if __name__ == "__main__":
parser = ArgumentParser()
parser.add_argument("--turns", type=int, default=4)
parser.add_argument("--num-qa", type=int, default=20)
parser.add_argument("--min-len-q", type=int, default=256)
parser.add_argument("--max-len-q", type=int, default=512)
parser.add_argument("--min-len-a", type=int, default=4)
parser.add_argument("--max-len-a", type=int, default=8)
parser.add_argument("--tokenizer", type=str, required=True)
parser.add_argument("--trust-remote-code", action="store_true")
parser.add_argument("--long", action="store_true")
args = add_common_sglang_args_and_parse(parser)
if args.long:
args.min_len_a = 256
args.max_len_a = 512
args.num_qa = 20
print(args)
main(args)