Buckets:
| #!/usr/bin/env python3 | |
| """Audit reported tables and derived averages; no unreleased SuP training code.""" | |
| from pathlib import Path | |
| import json | |
| sup_success=[13/30,16/30,26/30]; demo_success=[12/30,14/30,28/30] | |
| res={'bigym_sup':{'success':.67,'speedup':2.01,'tasks':20,'trials_per_task':100}, | |
| 'libero_pi05_sup':{'success':.973,'speedup':1.35}, | |
| 'libero_vla_adapter_sup':{'success':.937,'speedup':1.34,'qualification':'Different base policy; not a controlled same-policy comparison.'}, | |
| 'real_world_sup_mean_success':sum(sup_success)/3,'real_world_demo_mean_success':sum(demo_success)/3, | |
| 'real_world_sup_speedup':2.17,'real_world_demo_speedup':2.07, | |
| 'scheduler_parameters':5120000,'demospeedup_parameters':4000000000,'parameter_ratio':4000000000/5120000, | |
| 'evidence_qualifications':['Parameter count is in Table 3, not Table 4.','ADM-vs-MLP evidence is Figure 7, not Table 5.','No official SuP implementation or robotics checkpoints were found; values are paper-table audits, not reruns.']} | |
| root=Path(__file__).resolve().parent;(root/'outputs').mkdir(exist_ok=True) | |
| (root/'outputs'/'summary.json').write_text(json.dumps(res,indent=2));print(json.dumps(res,indent=2)) | |
Xet Storage Details
- Size:
- 1.17 kB
- Xet hash:
- 7b05382c6da308553e0844370df4cc7ed0790553d6e6ffdf84a7cc472e12e89f
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.