README ¶ Reverse Mode Automatic Differentiation with Continuation Passing Style This project implements reverse mode automatic differentiation with continuation passing style (CPS). Tensors and scalars are both supported with number type of float64, float32, or complex128. Gradient was inspired by Lantern as described by this paper. Expand ▾ Collapse ▴ Documentation ¶ There is no documentation for this package. Source Files ¶ View all Source files main.go Directories ¶ Show internal Expand all Path Synopsis sc128 sf sf32 sf64 tc128 proto_tc128 tf32 proto_tf32 tf64 proto_tf64 Click to show internal directories. Click to hide internal directories.