omnibias.torch.training
PyTorch activation derivatives, trainable operator layers, network jets, and direct differential-operator contractions.
import omnibias.torch.trainingModule contract & mathematical conventions
Training-loop helpers for omnibias.
Currently exports:
KGrowthScheduler: plateau-triggered K-growth callback forGrowableOperatorMultiBiasUnitmodules.
Shared formulas do not imply universal floating-point identity. Verify dtype, shape, derivative-order support, and the stated numerical assumptions for the path you use.
Imports & aliases
These names share a definition with another public module. Follow a name for its full contract, parameters, and examples.
| Import from this module | Canonical reference |
|---|---|
AnchorProvider | omnibias.torch.training.AnchorProvider |
GrowthEvent | omnibias.torch.training.GrowthEvent |
KGrowthScheduler | omnibias.torch.training.KGrowthScheduler |