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0_distrib_probing.py
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# Licensed under the MIT license.
from common.LM import Txt2TxtGenerator
from modules.Task import *
import os, json
from argparse import ArgumentParser
def main(args):
task = eval(args.task_name)()
distrib_probing_save_dir = os.path.join(args.distrib_probing_save_root, str(task))
os.makedirs(distrib_probing_save_dir, exist_ok=True)
output_file = os.path.join(distrib_probing_save_dir, f"seed{args.seed}.json")
if os.path.exists(output_file) and not args.force:
print(f"[0_distrib_probing.py:generate_test_inputs] ==> {output_file} already exists.")
return
model = Txt2TxtGenerator(args.model_ckpt, api=args.api, api_key=args.api_key, vllm_seed=args.seed, vllm_max_model_len=1536)
print(f"[0_distrib_probing.py:generate_test_inputs] ==> Generating model outputs for task {task}...")
prompt = task.random_test_inputs_prompt()
model_output = model.generate(
prompt,
num_generations=args.num_generations,
max_new_tokens=1024,
min_new_tokens=16,
temperature=0.9,
top_p=0.95,
top_k=60,
repetition_penalty=1.2,
)
js = {"prompt": prompt, "model_output": model_output}
with open(output_file, "w") as f:
json.dump(js, f, ensure_ascii=False)
if __name__ == "__main__":
print("********************** 0_distrib_probing.py **********************")
parser = ArgumentParser()
parser.add_argument("--out_root", type=str, default="out")
parser.add_argument("--model_ckpt", type=str, required=True)
parser.add_argument("--task_name", type=str, required=True)
parser.add_argument("--api", type=str, default="vllm")
parser.add_argument("--api_key", type=str, default=None)
parser.add_argument("--num_generations", type=int, default=128)
parser.add_argument("--seed", type=int, default=3401)
parser.add_argument("--force", action="store_true")
args = parser.parse_args()
args.model_name = args.model_ckpt.split("/")[-1]
args.distrib_probing_save_root = os.path.join(args.out_root, "distrib_probing", args.model_name)
os.makedirs(args.distrib_probing_save_root, exist_ok=True)
main(args)