Activation Trace

Layer-by-layer statistical analysis of model tensor activations, computing per-layer statistics (mean, std, L2 norm, min, max, NaN/Inf counts) and detecting anomalies such as high-variance spikes, dead layers, and gradient explosion.

CLI Equivalent

apr trace model.apr --stats --anomalies

Key Concepts

  • Per-layer activation statistics (mean, std, L2 norm)
  • Anomaly detection: dead layers, NaN/Inf, gradient explosion
  • Statistical process control for model health

Run

cargo run --example analysis_trace

Source

examples/analysis/analysis_trace/main.rs