cherrypi::defogger Namespace Reference

Typedefs
using	nonlin_type = std::function< torch::Tensor(torch::Tensor)>
using	conv_builder = std::function< ag::Container(uint32_t, uint32_t, int, int, int, bool)>

Functions
ag::Container	conv2dBuilder (uint32_t input_size, uint32_t output_size, int convsize, int stride, int padding, bool no_bias)
void	compare (std::string name, ag::tensor_list got)
Convnet	SimpleConvnet (conv_builder conv, nonlin_type nonlin, int convsize, int padding, int input_size, int output_size, int depth, int stride)
	AUTOGRAD_CONTAINER_CLASS (MapRaceFeaturize)
	AUTOGRAD_CONTAINER_CLASS (Convnet)
	AUTOGRAD_CONTAINER_CLASS (Decoder)
	AUTOGRAD_CONTAINER_CLASS (DefoggerModel)

Typedef Documentation

using cherrypi::defogger::conv_builder = typedef std::function<ag::Container(uint32_t, uint32_t, int, int, int, bool)>

using cherrypi::defogger::nonlin_type = typedef std::function<torch::Tensor(torch::Tensor)>

Function Documentation

cherrypi::defogger::AUTOGRAD_CONTAINER_CLASS

(

MapRaceFeaturize

)

cherrypi::defogger::AUTOGRAD_CONTAINER_CLASS

(

Convnet

)

cherrypi::defogger::AUTOGRAD_CONTAINER_CLASS

(

Decoder

)

cherrypi::defogger::AUTOGRAD_CONTAINER_CLASS

(

DefoggerModel

)

void cherrypi::defogger::compare	(	std::string	name,
		ag::tensor_list	got
	)

ag::Container cherrypi::defogger::conv2dBuilder	(	uint32_t	input_size,
		uint32_t	output_size,
		int	convsize,
		int	stride,
		int	padding,
		bool	no_bias
	)

Convnet cherrypi::defogger::SimpleConvnet	(	conv_builder	conv,
		nonlin_type	nonlin,
		int	convsize,
		int	padding,
		int	input_size,
		int	output_size,
		int	depth,
		int	stride
	)