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# -*- encoding: utf-8 -*- | |
''' | |
@File : utils.py | |
@Time : 2021/12/22 23:00:33 | |
@Author : Ming Ding | |
@Contact : [email protected] | |
''' | |
# here put the import lib | |
import os | |
import sys | |
import math | |
import random | |
import requests | |
from tqdm import tqdm | |
import requests | |
from filelock import FileLock | |
def download_with_progress_bar(save_path, url): | |
with requests.get(url, stream=True) as r: | |
r.raise_for_status() | |
os.makedirs(os.path.dirname(save_path), exist_ok=True) | |
with open(save_path, 'wb') as f: | |
pbar = tqdm(total=int(r.headers['Content-Length']), unit_scale=True) | |
for chunk in r.iter_content(chunk_size=32 * 1024): | |
if chunk: # filter out keep-alive new chunks | |
f.write(chunk) | |
pbar.update(len(chunk)) | |
MODEL_ULRS = { | |
'ice_text.model': 'https://cloud.tsinghua.edu.cn/f/2c73ea6d3e7f4aed82ec/?dl=1', | |
'ice_image.pt': 'https://cloud.tsinghua.edu.cn/f/ae2cd37af814429d875d/?dl=1' | |
} | |
def auto_create(file_path): | |
os.makedirs(os.path.dirname(file_path), exist_ok=True) | |
lock = FileLock(file_path + '.lock') | |
with lock: | |
if os.path.exists(file_path): | |
return False | |
else: | |
url = MODEL_ULRS[os.path.basename(file_path)] | |
print(f'Downloading tokenizer models {url} into {file_path} ...') | |
download_with_progress_bar(file_path, url) | |
return True | |