Model Equivariance Auditor

Even with equivariant libraries, implementation bugs can break equivariance. A model that claims equivariance but lacks it will train poorly and give inconsistent predictions. Catching these bugs early saves significant debugging time.

Workflow

Copy this checklist and track your progress:

Equivariance Audit Progress:
- [ ] Step 1: Gather model and symmetry specification
- [ ] Step 2: Run numerical equivariance tests
- [ ] Step 3: Test individual layers
- [ ] Step 4: Check gradient equivariance
- [ ] Step 5: Identify and diagnose failures
- [ ] Step 6: Document audit results

Step 1: Gather model and symmetry specification