Context
Cross-vendor transfer has a prediction scaffold and a measured-results template, but the MI300X measured artifact is not real evidence yet. The current docs/results/cross-vendor-measured-mi300x-template.json has placeholder measurement fields by design.
Scope
- Run the cross-vendor protocol on real MI300X or MI250 hardware, or explicitly document why measured AMD data is deferred.
- Produce
docs/results/cross-vendor-measured-mi300x.json with real metrics.
- Run
scripts/cross_vendor_transfer_eval.py against the prediction and measured artifacts.
- Write the JSON/MD evaluation outputs and link them from
docs/results/README.md.
Acceptance criteria
- No paper-facing wording treats the scaffold/template as measured AMD evidence.
- The produced evaluation reports Spearman correlation, top-k overlap, and latency regret.
- If hardware access is unavailable, docs clearly mark the cross-vendor lane as scaffold-only.
Related: #82.
Context
Cross-vendor transfer has a prediction scaffold and a measured-results template, but the MI300X measured artifact is not real evidence yet. The current
docs/results/cross-vendor-measured-mi300x-template.jsonhas placeholder measurement fields by design.Scope
docs/results/cross-vendor-measured-mi300x.jsonwith real metrics.scripts/cross_vendor_transfer_eval.pyagainst the prediction and measured artifacts.docs/results/README.md.Acceptance criteria
Related: #82.