| """Prepare frozen inference components; never publish incomplete conversions.""" |
| import os,sys,json,traceback |
| from pathlib import Path |
| os.environ.update(VDS_BATCH2_ROOT='/workspace/vds-litert-batch2',HF_TOKEN_FILE='/workspace/.secrets/hf_token',TORCH_NUM_THREADS='6') |
| root=Path('/workspace/vds-litert-batch2');sys.path.insert(0,str(root/'package/scripts')) |
| import convert_batch2 as worker |
| key=sys.argv[1];out=root/'learning-backbones'/key;out.mkdir(parents=True,exist_ok=True) |
| status={'key':key,'phase':'converting_frozen_component','published':False} |
| (out/'status.json').write_text(json.dumps(status)) |
| try: |
| spec=next(s for s in worker.all_specs() if s['key']==key);entry=worker.prefetched(key) |
| artifacts,report=worker.CONV[spec['route']](spec,entry,out) |
| status.update(phase='converted_frozen_component',artifacts=[str(p) for p in artifacts],report=report) |
| except Exception as e: |
| status.update(phase='failed',error=str(e),traceback=traceback.format_exc());print(status['traceback'],flush=True) |
| (out/'status.json').write_text(json.dumps(status,indent=2)+'\n') |
| print(json.dumps(status),flush=True) |
|
|
