| | |
| | | void forward_convolutional_layer_gpu(convolutional_layer layer, float * in); |
| | | void backward_convolutional_layer_gpu(convolutional_layer layer, float * in, float * delta_gpu); |
| | | void update_convolutional_layer_gpu(convolutional_layer layer); |
| | | |
| | | void push_convolutional_layer(convolutional_layer layer); |
| | | void pull_convolutional_layer(convolutional_layer layer); |
| | | void learn_bias_convolutional_layer_ongpu(convolutional_layer layer); |
| | | void bias_output_gpu(const convolutional_layer layer); |
| | | |
| | | void bias_output_gpu(float *output, float *biases, int batch, int n, int size); |
| | | void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size); |
| | | #endif |
| | | |
| | | convolutional_layer *make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int pad, ACTIVATION activation, float learning_rate, float momentum, float decay); |
| | |
| | | |
| | | void backward_convolutional_layer(convolutional_layer layer, float *in, float *delta); |
| | | |
| | | void bias_output(const convolutional_layer layer); |
| | | void bias_output(float *output, float *biases, int batch, int n, int size); |
| | | void backward_bias(float *bias_updates, float *delta, int batch, int n, int size); |
| | | |
| | | image get_convolutional_image(convolutional_layer layer); |
| | | image get_convolutional_delta(convolutional_layer layer); |
| | | image get_convolutional_filter(convolutional_layer layer, int i); |
| | | |
| | | int convolutional_out_height(convolutional_layer layer); |
| | | int convolutional_out_width(convolutional_layer layer); |
| | | void learn_bias_convolutional_layer(convolutional_layer layer); |
| | | |
| | | #endif |
| | | |