MarkTechPost July 15, 2026 · Tech Media

Building a Gin Config Controlled PyTorch Pipeline with Configurable MLP Variants, Cosine Scheduling, and Runtime Parameter Overrides

We build a Gin Config controlled PyTorch pipeline where the training code stays fixed and the experiment variables move into .gin files. We construct a nonlinear spiral binary classification task and define a configurable MLP with scoped architectural variants. We expose the optimizer, scheduler, loss, batching, seedin