| | |
| | | |
| | | #ifndef RNN_LAYER_H |
| | | #define RNN_LAYER_H |
| | | #ifndef GRU_LAYER_H |
| | | #define GRU_LAYER_H |
| | | |
| | | #include "activations.h" |
| | | #include "layer.h" |
| | | #include "network.h" |
| | | |
| | | layer make_rnn_layer(int batch, int inputs, int hidden, int outputs, int steps, ACTIVATION activation, int batch_normalize, int log); |
| | | layer make_gru_layer(int batch, int inputs, int outputs, int steps, int batch_normalize); |
| | | |
| | | void forward_rnn_layer(layer l, network_state state); |
| | | void backward_rnn_layer(layer l, network_state state); |
| | | void update_rnn_layer(layer l, int batch, float learning_rate, float momentum, float decay); |
| | | void forward_gru_layer(layer l, network_state state); |
| | | void backward_gru_layer(layer l, network_state state); |
| | | void update_gru_layer(layer l, int batch, float learning_rate, float momentum, float decay); |
| | | |
| | | #ifdef GPU |
| | | void forward_rnn_layer_gpu(layer l, network_state state); |
| | | void backward_rnn_layer_gpu(layer l, network_state state); |
| | | void update_rnn_layer_gpu(layer l, int batch, float learning_rate, float momentum, float decay); |
| | | void push_rnn_layer(layer l); |
| | | void pull_rnn_layer(layer l); |
| | | void forward_gru_layer_gpu(layer l, network_state state); |
| | | void backward_gru_layer_gpu(layer l, network_state state); |
| | | void update_gru_layer_gpu(layer l, int batch, float learning_rate, float momentum, float decay); |
| | | void push_gru_layer(layer l); |
| | | void pull_gru_layer(layer l); |
| | | #endif |
| | | |
| | | #endif |