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import torch | |
import os | |
import time | |
import httpx | |
import warnings | |
import gradio.networking | |
import safetensors.torch | |
from tqdm import tqdm | |
def gradio_url_ok_fix(url: str) -> bool: | |
try: | |
for _ in range(5): | |
with warnings.catch_warnings(): | |
warnings.filterwarnings("ignore") | |
r = httpx.head(url, timeout=999, verify=False) | |
if r.status_code in (200, 401, 302): | |
return True | |
time.sleep(0.500) | |
except (ConnectionError, httpx.ConnectError): | |
return False | |
return False | |
def build_loaded(module, loader_name): | |
original_loader_name = loader_name + '_origin' | |
if not hasattr(module, original_loader_name): | |
setattr(module, original_loader_name, getattr(module, loader_name)) | |
original_loader = getattr(module, original_loader_name) | |
def loader(*args, **kwargs): | |
result = None | |
try: | |
result = original_loader(*args, **kwargs) | |
except Exception as e: | |
result = None | |
exp = str(e) + '\n' | |
for path in list(args) + list(kwargs.values()): | |
if isinstance(path, str): | |
if os.path.exists(path): | |
exp += f'File corrupted: {path} \n' | |
corrupted_backup_file = path + '.corrupted' | |
if os.path.exists(corrupted_backup_file): | |
os.remove(corrupted_backup_file) | |
os.replace(path, corrupted_backup_file) | |
if os.path.exists(path): | |
os.remove(path) | |
exp += f'Forge has tried to move the corrupted file to {corrupted_backup_file} \n' | |
exp += f'You may try again now and Forge will download models again. \n' | |
raise ValueError(exp) | |
return result | |
setattr(module, loader_name, loader) | |
return | |
def always_show_tqdm(*args, **kwargs): | |
kwargs['disable'] = False | |
if 'name' in kwargs: | |
del kwargs['name'] | |
return tqdm(*args, **kwargs) | |
def patch_all_basics(): | |
import logging | |
from huggingface_hub import file_download | |
file_download.tqdm = always_show_tqdm | |
from transformers.dynamic_module_utils import logger | |
logger.setLevel(logging.ERROR) | |
gradio.networking.url_ok = gradio_url_ok_fix | |
build_loaded(safetensors.torch, 'load_file') | |
build_loaded(torch, 'load') | |
return | |