Add isolated exact eligibility GPU replay prototype and fixed benchmark protocol

This commit is contained in:
Digital Drosophila Archive
2026-10-01 14:30:01 +08:00
parent 09187e4d4d
commit 8abfa3c66c
10 changed files with 1884 additions and 0 deletions
@@ -0,0 +1,33 @@
"""Provision only a new worktree and independent benchmark environment."""
import json
import os
from pathlib import Path
import subprocess
import sys
from datetime import datetime, timezone
ROOT=Path('/data/digital-drosophila')
WORK=Path('/home/qishizhe/digital-drosophila-v100-acceleration')
OUT=Path('/home/qishizhe/phase4ar-v100-acceleration-20261001')
BASE='09187e4d4d67badf1b418c5f211258ca5d8fb328'
def run(argv, log):
with (OUT/(log+'.stdout.log')).open('x') as out, (OUT/(log+'.stderr.log')).open('x') as err:
r=subprocess.run(argv,stdout=out,stderr=err,env={**os.environ,'PYTHONDONTWRITEBYTECODE':'1'})
print(json.dumps({'step':log,'exit_code':r.returncode}),flush=True)
if r.returncode:raise RuntimeError('Environment preparation failed: '+log)
assert not WORK.exists() and not OUT.exists(), 'Provisioning targets must be new'
assert subprocess.check_output(['git','-C',str(ROOT),'rev-parse','HEAD'],text=True).strip()==BASE
assert subprocess.check_output(['git','-C',str(ROOT),'status','--porcelain'],text=True)==''
OUT.mkdir()
with (OUT/'environment-authority.json').open('x') as f:
json.dump(dict(scope='independent engineering replay only',base_commit=BASE,
created_utc=datetime.now(timezone.utc).isoformat(),original_science_environment_modified=False,
original_experiment_resumed=False),f,indent=2)
run(['git','-C',str(ROOT),'worktree','add','-b','codex/v100-conditioning-acceleration',str(WORK),BASE],'create-worktree')
run([sys.executable,'-m','venv',str(OUT/'.venv')],'create-venv')
run([str(OUT/'.venv/bin/python'),'-B','-m','pip','install','--disable-pip-version-check',
'--report',str(OUT/'pip-install-report.json'),'numpy==2.2.6','cupy-cuda12x==13.6.0'],'install-candidate')
run([str(OUT/'.venv/bin/python'),'-B','-m','pip','freeze'],'candidate-freeze')
print(json.dumps({'worktree':str(WORK),'benchmark_root':str(OUT),'environment_ready':True}),flush=True)