| import json |
| import modal |
| outputs=modal.Volume.from_name('workspace-agent-training') |
| image=modal.Image.from_id('im-Wxbm1NY4wOGE5jf3Jorh44') |
| app=modal.App('workspace-final-checkpoint-probe') |
| @app.function(image=image,cpu=2,memory=8192,timeout=600,retries=0,volumes={'/outputs':outputs}) |
| def probe(): |
| import subprocess |
| code=r''' |
| import torch,json,pathlib,inspect |
| import torch.distributed.checkpoint as dcp |
| import prime_rl |
| root=pathlib.Path('/outputs/prime/final-b64-g8-u10-20261030-01') |
| r={'prime_path':prime_rl.__file__,'checkpoints':{},'sources':{},'heldout_exists':root.with_name(root.name+'-heldout').exists()} |
| for step in (5,10): |
| p=root/'training/checkpoints'/f'step_{step}' |
| m=dcp.FileSystemReader(p/'trainer').read_metadata() |
| state={'app':{'progress':{'step':0,'total_tokens':0,'total_samples':0}}} |
| dcp.load(state,checkpoint_id=p/'trainer') |
| saved=torch.load(p/'orchestrator/progress.pt',weights_only=False,map_location='cpu') |
| r['checkpoints'][step]={'trainer':state,'orchestrator_keys':list(saved),'progress':vars(saved['progress']),'shards_valid':all((p/'trainer'/v.relative_path).stat().st_size>=v.offset+v.length for v in m.storage_data.values()),'prefixes':sorted(set(k.split('.')[1] for k in m.state_dict_metadata))} |
| import prime_rl.orchestrator.orchestrator as om |
| base=pathlib.Path(om.__file__).parent.parent |
| for p in base.rglob('*.py'): |
| t=p.read_text() |
| if 'progress.pt' in t or ('save_checkpoint(' in t and 'orchestrator' in str(p)): |
| r['sources'][str(p)]=t |
| a=root/'training/broadcasts/step_10' |
| from safetensors import safe_open |
| import hashlib |
| with safe_open(a/'adapter_model.safetensors',framework='pt',device='cpu') as f: |
| r['adapter']={'finished':(a/'.finished').is_file(),'config':json.loads((a/'adapter_config.json').read_text()),'tensors':len(f.keys()),'finite':all(torch.isfinite(f.get_tensor(k)).all().item() for k in f.keys()),'sha256':hashlib.sha256((a/'adapter_model.safetensors').read_bytes()).hexdigest()} |
| print(json.dumps(r,default=str)) |
| ''' |
| p=subprocess.run(['/app/.venv/bin/python','-c',code],capture_output=True,text=True,timeout=500) |
| return {'exit':p.returncode,'stdout':p.stdout,'stderr':p.stderr} |
| @app.local_entrypoint() |
| def main(): |
| r=probe.remote() |
| open('.state/final-checkpoint-probe.json','w').write(json.dumps(r,indent=2)) |
| print(json.dumps({'exit':r['exit'],'output':'.state/final-checkpoint-probe.json','stderr':r['stderr'][-2000:]})) |
|
|
