PyTorch: A Reference Language

PyTorch serves a dual role as both a reference language for deep learning and a production implementation language. The author argues that as systems scale, PyTorch increasingly functions as a verification tool against optimized production implementations written in kernel DSLs and code generation systems, rather than as the primary deployment medium. This model—where a simplified PyTorch reference implementation validates correctness of complex optimized code—mirrors how modern ML systems balance clarity with performance requirements.