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chore: import upstream snapshot with attribution
2026-07-13 12:38:16 +08:00

94 lines
2.7 KiB
Python

import json
import time
from argparse import ArgumentParser
from concurrent.futures import ThreadPoolExecutor
from functools import partial
from data_gen import gen_arguments
from tqdm import tqdm
from vllm.transformers_utils.tokenizer import get_tokenizer
from sglang.test.test_utils import add_common_other_args_and_parse, get_call_generate
from sglang.utils import dump_state_text
def multi_turns(generate, qas):
s = ""
for qa in qas:
s += qa["prompt"]
s += generate(s, max_tokens=qa["new_tokens"])
return s
def main(args):
print(args)
tokenizer = get_tokenizer(args.tokenizer, trust_remote_code=args.trust_remote_code)
multi_qas = gen_arguments(args, tokenizer)
states = [None] * args.num_qa
call_generate = partial(get_call_generate(args), temperature=0)
def get_one_answer(i):
states[i] = multi_turns(generate=call_generate, **multi_qas[i])
tic = time.perf_counter()
if args.parallel == 1:
for i in tqdm(range(len(multi_qas))):
get_one_answer(i)
else:
with ThreadPoolExecutor(args.parallel) as executor:
rets = list(
tqdm(
executor.map(get_one_answer, list(range(len(multi_qas)))),
total=len(multi_qas),
)
)
for _ in rets:
pass
latency = time.perf_counter() - tic
# Compute accuracy
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_other_args_and_parse(parser)
if args.long:
args.min_len_a = 256
args.max_len_a = 512
args.num_qa = 20
main(args)