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Minimal feedforward network utilities used for Enzyme experiments. More...
#include <algorithm>#include <array>#include <cmath>#include <iostream>#include <random>#include <tuple>#include <vector>
Go to the source code of this file.
Classes | |
| struct | Tanh |
| Tanh activation. More... | |
| struct | Linear |
| Linear activation. More... | |
| struct | Dense< In, Out, Activation > |
| Compile-time dense layer definition. More... | |
| class | PINN< Layers > |
| Compile-time feedforward network with static forward. More... | |
Macros | |
| #define | ENZYME_INLINE __attribute__((always_inline)) inline |
| Force inline expansion in performance-critical paths. More... | |
Typedefs | |
| using | Real = double |
| Scalar type for PINN utilities. More... | |
Minimal feedforward network utilities used for Enzyme experiments.
| #define ENZYME_INLINE __attribute__((always_inline)) inline |
Force inline expansion in performance-critical paths.