tiny_dnn  1.0.0
A header only, dependency-free deep learning framework in C++11
tiny_dnn::core::backend Member List

This is the complete list of members for tiny_dnn::core::backend, including all inherited members.

backend(context *ctx_=nullptr) (defined in tiny_dnn::core::backend)tiny_dnn::core::backendinlineexplicit
conv2d(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
conv2d(const std::vector< tensor_t * > &in_data, const std::vector< tensor_t * > &out_data, std::vector< tensor_t * > &out_grad, std::vector< tensor_t * > &in_grad)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
conv2d_eq(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
conv2d_q(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
conv2d_q(const std::vector< tensor_t * > &in_data, const std::vector< tensor_t * > &out_data, std::vector< tensor_t * > &out_grad, std::vector< tensor_t * > &in_grad)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
ctx_ (defined in tiny_dnn::core::backend)tiny_dnn::core::backendprotected
deconv2d(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
deconv2d(const std::vector< tensor_t * > &in_data, const std::vector< tensor_t * > &out_data, std::vector< tensor_t * > &out_grad, std::vector< tensor_t * > &in_grad)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
deconv2d_eq(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
deconv2d_q(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
deconv2d_q(const std::vector< tensor_t * > &in_data, const std::vector< tensor_t * > &out_data, std::vector< tensor_t * > &out_grad, std::vector< tensor_t * > &in_grad)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
fully(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
fully(const std::vector< tensor_t * > &in_data, const std::vector< tensor_t * > &out_data, std::vector< tensor_t * > &out_grad, std::vector< tensor_t * > &in_grad)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
fully_eq(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
fully_q(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
fully_q(const std::vector< tensor_t * > &in_data, const std::vector< tensor_t * > &out_data, std::vector< tensor_t * > &out_grad, std::vector< tensor_t * > &in_grad)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
get_context() const (defined in tiny_dnn::core::backend)tiny_dnn::core::backendinline
layer_ (defined in tiny_dnn::core::backend)tiny_dnn::core::backendprotected
maxpool(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
maxpool(const std::vector< tensor_t * > &in_data, const std::vector< tensor_t * > &out_data, std::vector< tensor_t * > &out_grad, std::vector< tensor_t * > &in_grad)=0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual
set_layer(layerptr_t layer) (defined in tiny_dnn::core::backend)tiny_dnn::core::backendinline
type() const =0 (defined in tiny_dnn::core::backend)tiny_dnn::core::backendpure virtual