omnibias.discrete.torch
Shared discrete-problem contracts, annealed relaxations, hard decoders, and optimality-gap evidence.
import omnibias.discrete.torchModule contract & mathematical conventions
PyTorch backend for omnibias-discrete: the annealed relaxation core.
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 |
|---|---|
anneal_descent | omnibias.discrete.torch.anneal_descent |