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tiny_dnn::concat_layer Member List

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

back_propagation(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 | tiny_dnn::concat_layer | inline virtual
backend() | tiny_dnn::layer | inline
backend_ | tiny_dnn::layer | protected
backend_type() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
backend_type_ | tiny_dnn::layer | protected
backward(const std::vector< tensor_t > &out_grads) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
backward() (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
bias_init(const BiasInit &f) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
bias_init(std::shared_ptr< BiasInit > f) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
clear_grads() (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
concat_layer(const std::vector< shape3d > &in_shapes) | tiny_dnn::concat_layer | inline
concat_layer(serial_size_t num_args, serial_size_t ndim) | tiny_dnn::concat_layer | inline
createOp() (defined in tiny_dnn::layer) | tiny_dnn::layer | inline virtual
device() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
device_ptr_ | tiny_dnn::layer | protected
engine() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
fan_in_size() const | tiny_dnn::layer | inline virtual
fan_out_size() const | tiny_dnn::layer | inline virtual
forward(const std::vector< tensor_t > &input) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
forward() (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
forward_propagation(const std::vector< tensor_t * > &in_data, std::vector< tensor_t * > &out_data) override | tiny_dnn::concat_layer | inline virtual
has_same_weights(const layer &rhs, float_t eps) const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
in_channels() const | tiny_dnn::layer | inline
in_channels_ | tiny_dnn::layer | protected
in_data_shape() (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
in_data_size() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
in_shape() const override | tiny_dnn::concat_layer | inline virtual
in_size() const | tiny_dnn::layer | inline
in_type_ | tiny_dnn::layer | protected
in_types() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
init_weight() (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
initialized_ | tiny_dnn::layer | protected
inputs() (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
kernel_file() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline virtual
kernel_header() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline virtual
layer(const std::vector< vector_type > &in_type, const std::vector< vector_type > &out_type) | tiny_dnn::layer | inline
layer(const layer &)=default (defined in tiny_dnn::layer) | tiny_dnn::layer |
layer_type() const override | tiny_dnn::concat_layer | inline virtual
load(std::istream &is) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline virtual
load(const std::vector< float_t > &src, int &idx) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline virtual
load_and_construct(Archive &ar, cereal::construct< concat_layer > &construct) (defined in tiny_dnn::concat_layer) | tiny_dnn::concat_layer | inline static
load_layer(InputArchive &ia) | tiny_dnn::layer | static
next() const (defined in tiny_dnn::node) | tiny_dnn::node | inline
next_ (defined in tiny_dnn::node) | tiny_dnn::node | mutable protected
next_nodes() const (defined in tiny_dnn::node) | tiny_dnn::node | inline
next_port(const edge &e) const (defined in tiny_dnn::node) | tiny_dnn::node | inline
node(serial_size_t in_size, serial_size_t out_size) (defined in tiny_dnn::node) | tiny_dnn::node | inline
node()=delete (defined in tiny_dnn::node) | tiny_dnn::node | protected
operator=(const layer &)=default (defined in tiny_dnn::layer) | tiny_dnn::layer |
out_channels() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
out_channels_ | tiny_dnn::layer | protected
out_data_shape() (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
out_data_size() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
out_shape() const override | tiny_dnn::concat_layer | inline virtual
out_size() const | tiny_dnn::layer | inline
out_type_ | tiny_dnn::layer | protected
out_types() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
out_value_range() const | tiny_dnn::layer | inline virtual
output() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
output_to_image(size_t channel=0) const | tiny_dnn::layer | inline virtual
outputs() (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
outputs() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
parallelize() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
parallelize_ | tiny_dnn::layer | protected
post_update() | tiny_dnn::layer | inline virtual
prev() const (defined in tiny_dnn::node) | tiny_dnn::node | inline
prev_ (defined in tiny_dnn::node) | tiny_dnn::node | mutable protected
prev_nodes() const (defined in tiny_dnn::node) | tiny_dnn::node | inline
prev_port(const edge &e) const (defined in tiny_dnn::node) | tiny_dnn::node | inline
save(std::ostream &os) const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline virtual
save_layer(OutputArchive &oa, const layer &l) (defined in tiny_dnn::layer) | tiny_dnn::layer | static
serialize(Archive &ar) (defined in tiny_dnn::concat_layer) | tiny_dnn::concat_layer | inline
serialize_prolog(Archive &ar) (defined in tiny_dnn::layer) | tiny_dnn::layer |
set_backend(std::shared_ptr< core::backend > backend) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
set_backend_type(core::backend_t backend_type) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
set_context(net_phase ctx) | tiny_dnn::layer | inline virtual
set_in_data(const std::vector< tensor_t > &data) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
set_out_grads(const std::vector< tensor_t > &grad) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
set_outshape() (defined in tiny_dnn::concat_layer) | tiny_dnn::concat_layer | inline
set_parallelize(bool parallelize) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
set_sample_count(serial_size_t sample_count) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline virtual
set_trainable(bool trainable) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
setDevice(const Device &device) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
setup(bool reset_weight) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
trainable() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
update_weight(optimizer *o, serial_size_t batch_size) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
weight_init(const WeightInit &f) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
weight_init(std::shared_ptr< WeightInit > f) (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
weights() const (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
weights() (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
weights_grads() (defined in tiny_dnn::layer) | tiny_dnn::layer | inline
~layer()=default (defined in tiny_dnn::layer) | tiny_dnn::layer | virtual
~node() (defined in tiny_dnn::node) | tiny_dnn::node | inline virtual