Datasets:
jblitzar
/
github-python

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path=args.input_path,
global_rank=args.global_rank,
world_size=args.world_size,
)
eval_dataset = src.data.Dataset(
data=eval_examples,
num_tests=args.num_tests_input,
num_examples=args.num_examples,
fewshot_method=args.fewshot_method,
function_name=args.function_name,
strip_prompt=args.strip_prompt,
)
eval_sampler = SequentialSampler(eval_dataset)
tokenization_kwargs = {
"max_length": args.max_length_input,
"truncation": True,
"padding": True,
"return_tensors": "pt",
}
collator_function = src.data.Collator(tokenizer, **tokenization_kwargs)
eval_dataloader = DataLoader(
eval_dataset,
sampler=eval_sampler,
batch_size=args.per_gpu_batch_size,
num_workers=args.world_size,
collate_fn=collator_function,
)
# with init_empty_weights():
# config = AutoConfig.from_pretrained(args.model_name_or_path)
# model = AutoModelForCausalLM.from_config(config)
model = AutoModelForCausalLM.from_pretrained(args.model_name_or_path, **model_kwargs)
logger.info(f"Model Using Device: {model.device}")
if args.world_size <= 1:
model = model.to(args.device)
logger.info(f"Model Using Device: {model.device}")
logger.info("Start eval")
scores_dict = evaluate(model, eval_dataloader, tokenizer, args)
logger.info(f"Scores: {scores_dict}")
if args.is_main:
glob_path = Path(args.output_dir) / f"{args.language}-{args.model_size}-{args.model_data}-predictions"
write_path = args.output_path
src.utils.write_output(glob_path, write_path)
if __name__ == "__main__":
parser = src.config.Arguments()
parser.add_eval_args()
args = parser.parse()
src.slurm.init_distributed_mode(args)
src.slurm.init_signal_handler()
if args.is_distributed:
torch.distributed.barrier()
logger = src.utils.init_logger(
args.is_main, args.is_distributed,
Path(args.output_dir) / "run.log"
)
if not Path(args.output_dir).exists() and args.is_main:
parser.print_options(args)
main()
# <FILESEP>
#!/usr/bin/env python3
# -*- coding: utf-8 -*
'''
项目名称: JD-Script / jd_ccfxj_help
Author: Curtin
功能：城城分现金助力 活动入口：15.0:/￥WAAD60EE92byb0%，☃そ點①點ひ领哯唫！
Date: 2021/10/20 下午8:59
TG交流 https://t.me/topstyle996
TG频道 https://t.me/TopStyle2021
说明：仅测试使用，目前只助力，需要手动领取提现。
cron: 0 0 9-21 1 *
new Env('城城分现金助力(1.9-1.21)');
update 2022.1.9
'''
## 助力账号名称：可填用户名 或 pin的值不要; env 设置 export ccfxj_help="Curtinlv&用户2" 多账号&分隔
ccfxj_help=["Curtinlv", ]
#是否开启通知，Ture：发送通知，False：不发送
isNotice="true"
# UA 可自定义你的，注意格式: 【 jdapp;iPhone;10.0.4;14.2;9fb54498b32e17dfc5717744b5eaecda8366223c;network/wifi;ADID/2CF597D0-10D8-4DF8-C5A2-61FD79AC8035;model/iPhone11,1;addressid/7785283669;appBuild/167707;jdSupportDarkMode/0;Mozilla/5.0 (iPhone; CPU iPhone OS 14_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/nu...
UserAgent = ''
ccfxj_isOrder="true"
countM = {}
outCK = []
import os, re, sys
import random
try:
import requests
except Exception as e:
print(e, "\n缺少requests 模块，请执行命令安装：python3 -m pip install requests")