tiny_dnn
1.0.0
A header only, dependency-free deep learning framework in C++11
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This is the complete list of members for tiny_dnn::core::tiny_backend, including all inherited members.
backend(context *ctx_=nullptr) (defined in tiny_dnn::core::backend) | tiny_dnn::core::backend | inlineexplicit |
conv2d(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
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) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
conv2d_eq(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
conv2d_q(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
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) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
ctx_ (defined in tiny_dnn::core::backend) | tiny_dnn::core::backend | protected |
deconv2d(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
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) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
deconv2d_eq(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
deconv2d_q(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
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) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
fully(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
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) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
fully_eq(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
fully_q(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
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) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
get_context() const (defined in tiny_dnn::core::backend) | tiny_dnn::core::backend | inline |
layer_ (defined in tiny_dnn::core::backend) | tiny_dnn::core::backend | protected |
maxpool(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
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) override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |
set_layer(layerptr_t layer) (defined in tiny_dnn::core::backend) | tiny_dnn::core::backend | inline |
tiny_backend(conv_params *params, std::function< void(const tensor_t &)> f1, std::function< void(const tensor_t &, tensor_t &)> f2, std::function< void(const tensor_t &, const tensor_t &, tensor_t &)> f3, conv_layer_worker_specific_storage *ptr) (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inline |
tiny_backend(deconv_params *params, std::function< void(const tensor_t &)> f1, std::function< void(const tensor_t &, tensor_t &)> f2, std::function< void(const tensor_t &, const tensor_t &, tensor_t &)> f3, deconv_layer_worker_specific_storage *ptr) (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inline |
tiny_backend(std::vector< std::vector< serial_size_t >> *out2in, std::vector< serial_size_t > *in2out, std::function< void(const tensor_t &, const tensor_t &, tensor_t &)> f, max_pooling_layer_worker_specific_storage *ptr) (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inline |
tiny_backend(fully_params *params, std::function< void(const tensor_t &, const tensor_t &, tensor_t &)> f) (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inline |
type() const override (defined in tiny_dnn::core::tiny_backend) | tiny_dnn::core::tiny_backend | inlinevirtual |