Add a divergence report (count + fraction outside tolerance, per-feature breakdown, worst offenders) so we can tell a few branch-flip elements from a pervasive regression. The CI tolerance gate failed with max|d|=0.85 / maxrel=345 — far beyond FP rounding — so we need to see WHICH feature elements diverge structurally on the Azure runner. |
||
|---|---|---|
| .. | ||
| proof | ||
| test_wifi_densepose.db | ||
| wifi_densepose_fallback.db | ||