82 lines
2.3 KiB
Python
82 lines
2.3 KiB
Python
import argparse
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import json
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import time
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import sglang as sgl
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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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@sgl.function
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def json_decode(s, document):
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s += "Please extract the information of a city from the following wikipedia page.\n"
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s += "Page begin.\n" + document + "Page end.\n"
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s += "Here is the name, country, and symbol of the city in JSON format.\n"
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s += "{\n"
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s += ' "name": "' + sgl.gen("name", max_tokens=8, stop='"') + '",\n'
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s += ' "country": "' + sgl.gen("country", max_tokens=8, stop='"') + '",\n'
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s += (
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' "air port code": "'
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+ sgl.gen("air port code", max_tokens=8, stop='"')
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+ '",\n'
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)
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s += (
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' "top 3 landmarks": "'
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+ sgl.gen("landmarks", max_tokens=24, stop='"')
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+ '",\n'
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)
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s += "}\n"
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def main(args):
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lines = read_jsonl(args.data_path)
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arguments = []
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for i in range(len(lines[: args.num_questions])):
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arguments.append(
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{
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"document": lines[i]["document"],
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}
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)
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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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states = json_decode.run_batch(
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arguments, temperature=0, num_threads=args.parallel, progress_bar=True
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)
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latency = time.time() - tic
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# Compute accuracy
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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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with open(args.result_file, "a") as fout:
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value = {
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"task": "long_json_decode",
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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": 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("--data-path", type=str, default="questions.jsonl")
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parser.add_argument("--num-questions", type=int, default=10)
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args = add_common_sglang_args_and_parse(parser)
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main(args)
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