102 lines
3.4 KiB
Python
102 lines
3.4 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.lang.ir import REGEX_FLOAT, REGEX_INT, REGEX_STR
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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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REGEX_LIST = r"\[(" + REGEX_STR + ", )*" + REGEX_STR + r"\]"
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# fmt: off
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@sgl.function
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def json_warm_up(s):
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s += "The information about Hogwarts is in the following JSON format.\n"
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with s.var_scope("json_output"):
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s += "{\n"
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s += ' "name": ' + sgl.gen("name", max_tokens=8, regex=REGEX_STR + ",") + "\n"
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s += ' "country": ' + sgl.gen("country", max_tokens=8, regex=REGEX_STR + ",") + "\n"
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s += ' "latitude": ' + sgl.gen("latitude", max_tokens=8, regex=REGEX_FLOAT + ",") + "\n"
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s += ' "population": ' + sgl.gen("population", max_tokens=8, regex=REGEX_INT + ",") + "\n"
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s += ' "top 3 landmarks": ' + sgl.gen( "landmarks", max_tokens=24, regex=REGEX_LIST) + "\n"
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s += "}\n"
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print(f'The warmp up json result is:\n{s["json_output"]}')
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# fmt: on
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# fmt: off
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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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with s.var_scope("json_output"):
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s += "{\n"
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s += ' "name": ' + sgl.gen("name", max_tokens=8, regex=REGEX_STR + ",") + "\n"
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s += ' "country": ' + sgl.gen("country", max_tokens=8, regex=REGEX_STR + ",") + "\n"
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s += ' "latitude": ' + sgl.gen("latitude", max_tokens=8, regex=REGEX_FLOAT + ",") + "\n"
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s += ' "population": ' + sgl.gen("population", max_tokens=8, regex=REGEX_INT + ",") + "\n"
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s += ' "top 3 landmarks": ' + sgl.gen( "landmarks", max_tokens=24, regex=REGEX_LIST) + "\n"
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s += "}\n"
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# fmt: on
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def main(args):
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lines = read_jsonl(args.data_path)
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lines = list(lines)
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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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# Warm up
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json_warm_up.run().sync()
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# Run requests
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tic = time.perf_counter()
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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.perf_counter() - 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(f"tmp_{args.backend}_json_results.txt", "w") as fout:
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for state in states:
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fout.write(state["json_output"] + "\n")
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with open(args.result_file, "a") as fout:
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value = {
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"task": "json_decode_regex",
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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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"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=20)
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args = add_common_sglang_args_and_parse(parser)
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main(args)
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