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>
85 lines
2.5 KiB
Python
85 lines
2.5 KiB
Python
import argparse
|
|
import json
|
|
import time
|
|
|
|
import numpy as np
|
|
import sglang as sgl
|
|
from sglang.test.test_utils import add_common_sglang_args_and_parse, select_sglang_backend
|
|
from sglang.utils import read_jsonl, dump_state_text
|
|
|
|
|
|
@sgl.function
|
|
def multi_document_qa(s, docs, question):
|
|
s += sgl.user_begin()
|
|
s += "Pleaes answer a question according to given documents.\n"
|
|
s += "Question:" + question + "Documents begin.\n"
|
|
|
|
forks = s.fork(len(docs))
|
|
forks += lambda i: docs[i]
|
|
forks.join("concate_and_append")
|
|
|
|
s += "\nDocuments end."
|
|
s += ("\n\nBased on the above documents, please answer this question:\n" + question + "\nAnswer in three words or fewer.")
|
|
s += sgl.user_end()
|
|
s += sgl.assistant(sgl.gen("answer", max_tokens=16))
|
|
|
|
|
|
def main(args):
|
|
lines = read_jsonl(args.data_path)
|
|
l = lines[0]
|
|
arguments = []
|
|
labels = []
|
|
for i in range(len(l["questions"][:args.num_questions])):
|
|
arguments.append({
|
|
"docs": l["documents"][:10],
|
|
"question": l["questions"][i],
|
|
})
|
|
labels.append(l["answers"][i])
|
|
|
|
# Select backend
|
|
backend = select_sglang_backend(args)
|
|
sgl.set_default_backend(backend)
|
|
|
|
# Run requests
|
|
tic = time.time()
|
|
states = multi_document_qa.run_batch(
|
|
arguments, temperature=0, num_threads=args.parallel)
|
|
latency = time.time() - tic
|
|
|
|
# Compute accuracy
|
|
print([s["answer"] for s in states])
|
|
correct = 0
|
|
for s, label in zip(states, labels):
|
|
answer = s["answer"].lower()
|
|
if all(x in answer for x in label.lower().split(" ")):
|
|
correct += 1
|
|
accuracy = correct / len(labels)
|
|
print(f"Accuracy: {accuracy:.3f}")
|
|
print(f"Latency: {latency:.3f}")
|
|
|
|
# Write results
|
|
dump_state_text(f"tmp_output_{args.backend}.txt", states)
|
|
|
|
with open(args.result_file, "a") as fout:
|
|
value = {
|
|
"task": "multi_document_qa",
|
|
"backend": args.backend,
|
|
"num_gpus": 1,
|
|
"latency": round(latency, 3),
|
|
"num_requests": args.num_questions,
|
|
"accuracy": accuracy,
|
|
"other": {
|
|
"num_questions": args.num_questions,
|
|
"parallel": args.parallel,
|
|
}
|
|
}
|
|
fout.write(json.dumps(value) + "\n")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument("--data-path", type=str, default="questions.jsonl")
|
|
parser.add_argument("--num-questions", type=int, default=100)
|
|
args = add_common_sglang_args_and_parse(parser)
|
|
main(args)
|