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chore: import upstream snapshot with attribution
2026-07-13 12:38:16 +08:00

147 lines
4.2 KiB
Python

import argparse
import json
import time
from typing import List, Tuple
import jsonschema
from datasets import load_dataset
import sglang as sgl
from sglang.global_config import global_config
from sglang.srt.utils.hf_transformers_utils import get_tokenizer
from sglang.test.test_utils import (
add_common_sglang_args_and_parse,
select_sglang_backend,
)
from sglang.utils import dump_state_text
@sgl.function
def schema_gen(s, message: Tuple[str, str], json_schema: str):
system, user = message
s += sgl.system(system)
s += sgl.user(user)
s += sgl.assistant(
sgl.gen("json_output", temperature=0, max_tokens=256, json_schema=json_schema)
)
def contains_formats(schema, formats: List[str]):
if isinstance(schema, dict):
if schema.get("format", None) in formats:
return True
for value in schema.values():
if contains_formats(value, formats):
return True
elif isinstance(schema, list):
for item in schema:
if contains_formats(item, formats):
return True
return False
def convert_dataset(path: str):
raw_dataset = load_dataset(path)
dataset = []
for data in raw_dataset["train"]:
messages = data["prompt"]
schema = data["schema"]
obj = json.loads(schema)
# skip some corrupted examples
if obj.get("type", None) is None:
continue
# skip schema with format "email"
# which is not supported by outlines for now
if contains_formats(obj, ["email"]):
continue
system = messages[0]
user = messages[1]
assert system["role"] == "system", "invalid role"
assert user["role"] == "user", "invalid role"
assert len(messages) == 2, "invalid message length"
message = json.dumps(system["content"]), json.dumps(user["content"])
dataset.append(
{
"message": message,
"json_schema": schema,
}
)
return dataset
def bench_schema(args):
arguments = convert_dataset(args.data_path)
if args.num_jsons < 0 or args.num_jsons > len(arguments):
args.num_jsons = len(arguments)
arguments = arguments[: args.num_jsons]
# Select backend
backend = select_sglang_backend(args)
sgl.set_default_backend(backend)
# Run requests
tic = time.perf_counter()
states = schema_gen.run_batch(
arguments,
temperature=0,
num_threads=args.parallel,
progress_bar=True,
)
latency = time.perf_counter() - tic
# Check if the outputs are valid
indexes = []
for i, state in enumerate(states):
try:
schema = json.loads(arguments[i]["json_schema"])
obj = json.loads(state["json_output"])
assert jsonschema.validate(obj, schema) is None
except Exception as e:
print(e)
indexes.append(i)
return states, latency
def main(args):
states, latency = bench_schema(args)
# Compute accuracy
tokenizer = get_tokenizer(
global_config.default_backend.get_server_info()["tokenizer_path"]
)
output_jsons = [state["json_output"] for state in states]
num_output_tokens = sum(len(tokenizer.encode(x)) for x in output_jsons)
print(f"Latency: {latency:.3f}")
print(f"Output throughput: {num_output_tokens / latency:.3f} token/s")
print(f"#output tokens: {num_output_tokens}")
# Write results
dump_state_text(f"tmp_output_{args.backend}.txt", states)
with open(f"{args.backend}.jsonl", "w") as fout:
for state in states:
fout.write(state["json_output"] + "\n")
with open(args.result_file, "a") as fout:
value = {
"task": "json_schema",
"backend": args.backend,
"latency": round(latency, 3),
"num_jsons": args.num_jsons,
"parallel": args.parallel,
}
fout.write(json.dumps(value) + "\n")
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--data-path", type=str, default="NousResearch/json-mode-eval")
parser.add_argument("--num-jsons", type=int, default=-1)
args = add_common_sglang_args_and_parse(parser)
main(args)