22085081bb
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>
97 lines
3.0 KiB
Python
97 lines
3.0 KiB
Python
import argparse
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import json
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import time
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import os
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import sglang as sgl
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import tqdm
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from sglang.test.test_utils import add_common_sglang_args_and_parse, select_sglang_backend
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from sglang.utils import read_jsonl, dump_state_text
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from PIL import Image
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@sgl.function
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def image_qa(s, image_file, question):
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s += sgl.user(sgl.image(image_file) + question)
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s += sgl.assistant(sgl.gen("answer", max_tokens=args.max_tokens))
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def main(args):
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lines = read_jsonl(args.question_file)[:args.num_questions]
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arguments = [
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{"image_file":
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os.path.abspath(args.image_folder + "/" + l["image"]),
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"question": l["text"]} for l in lines
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]
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#arguments = [
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# {"image_file":
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# Image.open(os.path.abspath(args.image_folder + "/" + l["image"])),
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# "question": l["text"]} for l in lines
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#]
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states = [None] * len(lines)
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# Select backend
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backend = select_sglang_backend(args)
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sgl.set_default_backend(backend)
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# Run requests
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tic = time.time()
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if args.parallel == 1:
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for i in tqdm.tqdm(range(len(lines))):
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image_file = arguments[i]["image_file"]
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question = arguments[i]["question"]
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ret = image_qa.run(
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image_file=image_file,
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question=question,
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temperature=0)
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states[i] = ret
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else:
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states = image_qa.run_batch(
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arguments,
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temperature=0,
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num_threads=args.parallel,
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progress_bar=True)
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latency = time.time() - tic
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print(f"Latency: {latency:.3f}")
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# Write results
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dump_state_text(f"tmp_output_{args.backend}.txt", states)
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print(f"Write output to {args.answer_file}")
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with open(args.answer_file, "w") as fout:
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for i in range(len(lines)):
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value = {
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"question_id": lines[i]["question_id"],
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"prompt": lines[i]["text"],
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"text": states[i]["answer"].strip(),
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"model_id": backend.model_info["model_path"],
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"answer_id": i,
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"metadata": {},
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}
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fout.write(json.dumps(value) + "\n")
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with open(args.result_file, "a") as fout:
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value = {
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"task": "llava_bench",
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"backend": args.backend,
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"num_gpus": 1,
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"latency": round(latency, 3),
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"num_requests": len(lines),
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"parallel": args.parallel,
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}
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fout.write(json.dumps(value) + "\n")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("--question-file", type=str, default="questions.jsonl")
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parser.add_argument("--answer-file", type=str, default="answers.jsonl")
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parser.add_argument("--image-folder", type=str, default="./images")
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parser.add_argument("--temperature", type=float, default=0.0)
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parser.add_argument("--num-questions", type=int, default=None)
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parser.add_argument("--max-tokens", type=int, default=768)
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args = add_common_sglang_args_and_parse(parser)
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main(args)
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