Inverted dropout – the first module whose forward behavior genuinely differs between training and inference (Module::is_training()). More...

#include <optional>
#include <cstdint>
#include "pulsatrix/module.hpp"

Include dependency graph for dropout_module.hpp:

Classes
class	pulsatrix::DropoutModule
	y = (mask_i ? x_i / (1 - p) : 0) at training time (inverted dropout – scaling happens at training time so eval-time forward needs no rescaling); y = x at eval time or when p == 0. No parameters. More...

Detailed Description

Inverted dropout – the first module whose forward behavior genuinely differs between training and inference (Module::is_training()).

Classes