141 lines
4.2 KiB
Python
141 lines
4.2 KiB
Python
import argparse
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import ast
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import json
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import re
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import time
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import numpy as np
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from sglang.test.test_utils import (
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add_common_sglang_args_and_parse,
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select_sglang_backend,
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)
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from sglang.utils import dump_state_text, read_jsonl
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INVALID = -9999999
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def get_answer_value(answer_str):
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answer_str = answer_str.replace(",", "")
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numbers = re.findall(r"\d+", answer_str)
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if len(numbers) < 1:
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return INVALID
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try:
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return ast.literal_eval(numbers[-1])
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except SyntaxError:
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return INVALID
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prompt_lib = [
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"Let us think step by step.",
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"Approach this methodically. Let's dissect the problem into smaller, more manageable parts.",
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"It's important to proceed step by step, ensuring accuracy at each stage.",
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"Take a deep breath and break this down.",
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"A little bit of arithmetic and a logical approach will help us quickly arrive at the solution to this problem.",
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"I am extremely good at math.",
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]
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def main(args):
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lines = read_jsonl(args.data_path)
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# Construct prompts
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# k = args.num_shot
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# few_shot_examples = get_few_shot_examples(lines, k)
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questions = []
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labels = []
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for i in range(len(lines[: args.num_questions])):
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questions.append(lines[i]["question"])
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labels.append(get_answer_value(lines[i]["answer"]))
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assert all(l != INVALID for l in labels)
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arguments = [{"question": q} for q in questions]
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num_chains = args.num_chains
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#####################################
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######### SGL Program Begin #########
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#####################################
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import sglang as sgl
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@sgl.function
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def multi_chain_gsm8k(s, question):
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s += "Question: " + question + "\n"
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# s += "Answer: " + prompt_lib[0] + sgl.gen("answer", max_tokens=256, stop="Question",
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# temperature=0)
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# return
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forks = s.fork(num_chains)
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for i in range(num_chains):
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forks[i] += (
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"Answer: "
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+ prompt_lib[i % num_chains]
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+ sgl.gen("chain", max_tokens=256, temperature=0.3, stop="Question")
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)
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forks.join()
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s += "Answer: To answer this question, here are some possible solutions. "
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s += "After considering all of them, I will do a majority vote.\n\n"
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for i in range(num_chains):
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s += f"Solution {i+1}: " + forks[i]["chain"].strip() + "\n\n"
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s += "\nBy considering the above solutions and doing a majority vote, I think the final answer (a single integer number) is "
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s += sgl.gen("answer", max_tokens=16)
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#####################################
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########## SGL Program End ##########
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#####################################
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# Select backend
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backend = select_sglang_backend(args)
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# Run requests
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tic = time.time()
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states = multi_chain_gsm8k.run_batch(
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arguments,
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temperature=0,
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backend=backend,
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num_threads=args.parallel,
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progress_bar=True,
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)
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latency = time.time() - tic
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preds = []
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for i in range(len(states)):
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preds.append(get_answer_value(states[i]["answer"]))
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# Compute accuracy
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acc = np.mean(np.array(preds) == np.array(labels))
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invalid = np.mean(np.array(preds) == INVALID)
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print(f"Latency: {latency:.3f}")
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print(f"Invalid: {invalid:.3f}")
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print(f"Accuracy: {acc:.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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with open(args.result_file, "a") as fout:
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value = {
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"task": "multi_chain_gsm8k",
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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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"accuracy": round(acc, 3),
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"num_requests": args.num_questions,
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"other": {
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"num_questions": args.num_questions,
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"parallel": args.parallel,
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},
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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("--num-shot", type=int, default=0)
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parser.add_argument("--num-chains", type=int, default=5)
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parser.add_argument("--data-path", type=str, default="test.jsonl")
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parser.add_argument("--num-questions", type=int, default=50)
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args = add_common_sglang_args_and_parse(parser)
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main(args)
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