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| #ifndef CONV_LSTM_LAYER_H
| #define CONV_LSTM_LAYER_H
|
| #include "activations.h"
| #include "layer.h"
| #include "network.h"
| #define USET
|
| #ifdef __cplusplus
| extern "C" {
| #endif
| layer make_conv_lstm_layer(int batch, int h, int w, int c, int output_filters, int groups, int steps, int size, int stride, int dilation, int pad, ACTIVATION activation, int batch_normalize, int peephole, int xnor, int bottleneck, int train);
| void resize_conv_lstm_layer(layer *l, int w, int h);
| void free_state_conv_lstm(layer l);
| void randomize_state_conv_lstm(layer l);
| void remember_state_conv_lstm(layer l);
| void restore_state_conv_lstm(layer l);
|
| void forward_conv_lstm_layer(layer l, network_state state);
| void backward_conv_lstm_layer(layer l, network_state state);
| void update_conv_lstm_layer(layer l, int batch, float learning_rate, float momentum, float decay);
|
| layer make_history_layer(int batch, int h, int w, int c, int history_size, int steps, int train);
| void forward_history_layer(layer l, network_state state);
| void backward_history_layer(layer l, network_state state);
|
| #ifdef GPU
| void forward_conv_lstm_layer_gpu(layer l, network_state state);
| void backward_conv_lstm_layer_gpu(layer l, network_state state);
| void update_conv_lstm_layer_gpu(layer l, int batch, float learning_rate, float momentum, float decay, float loss_scale);
|
| void forward_history_layer_gpu(const layer l, network_state state);
| void backward_history_layer_gpu(const layer l, network_state state);
| #endif
|
| #ifdef __cplusplus
| }
| #endif
|
| #endif // CONV_LSTM_LAYER_H
|
|
