Datasets:
File size: 3,639 Bytes
9126e0d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | """Download official ReLA weights and isolated compatibility dependencies."""
from pathlib import Path
import json, subprocess, urllib.request, zipfile, io, hashlib, os, sys
ROOT=Path(__file__).resolve().parents[1]
def main():
vendor=ROOT/'vendor';vendor.mkdir(exist_ok=True)
sys.path.insert(0,str(vendor))
lock=json.loads((ROOT/'protocol/rela_reconstruction_lock.json').read_text())
(ROOT/'models').mkdir(exist_ok=True);(ROOT/'third_party').mkdir(exist_ok=True)
repo=ROOT/'third_party'/('ReLA-'+lock['rela_commit'])
if not repo.exists():
with urllib.request.urlopen('https://codeload.github.com/'+lock['rela_repository']+'/zip/'+lock['rela_commit'],timeout=120) as r:blob=r.read()
zipfile.ZipFile(io.BytesIO(blob)).extractall(ROOT/'third_party')
import importlib.util
for package,version in [('pip','25.2'),('setuptools','75.8.0'),('wheel','0.45.1')]:
if importlib.util.find_spec(package) is None:
with urllib.request.urlopen(f'https://pypi.org/pypi/{package}/{version}/json',timeout=60) as r:meta=json.load(r)
url=next(x['url'] for x in meta['urls'] if x['filename'].endswith('py3-none-any.whl'))
with urllib.request.urlopen(url,timeout=120) as r:blob=r.read()
zipfile.ZipFile(io.BytesIO(blob)).extractall(vendor)
packages=['gdown==5.2.0','timm==0.6.13','fvcore==0.1.5.post20221221','yacs==0.1.8','iopath==0.1.9','omegaconf==2.3.0','antlr4-python3-runtime==4.9.3','hydra-core==1.3.2','portalocker==2.10.1','termcolor==2.4.0','cloudpickle==3.0.0','tabulate==0.9.0','opencv-python-headless==4.10.0.84','shapely==2.0.6','h5py==3.11.0']
subprocess.run(['python3','-m','pip','install','--target',str(vendor),'--no-deps',*packages],check=True)
import gdown
target=ROOT/'models/gres_swin_tiny.pth'
if not target.exists() or target.stat().st_size!=650774639:
gdown.download(id='1VwX3BQy6gaF38P7YL6YeF2m0prgpO-IG',output=str(target),quiet=False)
assert target.stat().st_size==650774639
assert hashlib.sha256(target.read_bytes()).hexdigest()==lock['checkpoint_sha256'],'ReLA checkpoint mismatch'
bert=ROOT/'models/bert-base-uncased';bert.mkdir(exist_ok=True)
for f in ['config.json','vocab.txt','tokenizer_config.json','tokenizer.json','model.safetensors']:
p=bert/f
if not p.exists():urllib.request.urlretrieve('https://huggingface.co/google-bert/bert-base-uncased/resolve/main/'+f,str(p))
assert hashlib.sha256(p.read_bytes()).hexdigest()==lock['bert_files_sha256'][f],f+' differs from executed BERT asset; obtain the recorded version'
url='https://codeload.github.com/facebookresearch/detectron2/zip/refs/tags/v0.6'
d2=ROOT/'third_party/detectron2-0.6'
if not d2.exists():
with urllib.request.urlopen(url,timeout=120) as r:blob=r.read()
zipfile.ZipFile(io.BytesIO(blob)).extractall(ROOT/'third_party')
# CPU extension suffices for this architecture; MSDeformAttn uses the
# official repository's PyTorch reference implementation on the GPU.
if os.getenv('R2_BUILD_D2')=='1':
subprocess.run(['python3','-m','pip','install','--target',str(vendor),'--no-deps','--no-build-isolation',str(d2)],check=True)
meta=dict(checkpoint_file=target.name,checkpoint_sha256=hashlib.sha256(target.read_bytes()).hexdigest(),bytes=target.stat().st_size,official_drive_file_id='1VwX3BQy6gaF38P7YL6YeF2m0prgpO-IG',packages=packages,detectron2='v0.6',slurm_job_id=os.getenv('SLURM_JOB_ID'))
(ROOT/'protocol/rela_assets.json').write_text(json.dumps(meta,indent=2));print(json.dumps(meta,indent=2),flush=True)
if __name__=='__main__':main()
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