#include "logistic_layer.h" #include "activations.h" #include "blas.h" #include "cuda.h" #include #include #include #include #include layer make_logistic_layer(int batch, int inputs) { fprintf(stderr, "logistic x entropy %4d\n", inputs); layer l = {0}; l.type = LOGXENT; l.batch = batch; l.inputs = inputs; l.outputs = inputs; l.loss = calloc(inputs*batch, sizeof(float)); l.output = calloc(inputs*batch, sizeof(float)); l.delta = calloc(inputs*batch, sizeof(float)); l.cost = calloc(1, sizeof(float)); l.forward = forward_logistic_layer; l.backward = backward_logistic_layer; #ifdef GPU l.forward_gpu = forward_logistic_layer_gpu; l.backward_gpu = backward_logistic_layer_gpu; l.output_gpu = cuda_make_array(l.output, inputs*batch); l.loss_gpu = cuda_make_array(l.loss, inputs*batch); l.delta_gpu = cuda_make_array(l.delta, inputs*batch); #endif return l; } void forward_logistic_layer(const layer l, network net) { copy_cpu(l.outputs*l.batch, net.input, 1, l.output, 1); activate_array(l.output, l.outputs*l.batch, LOGISTIC); if(net.truth){ logistic_x_ent_cpu(l.batch*l.inputs, l.output, net.truth, l.delta, l.loss); l.cost[0] = sum_array(l.loss, l.batch*l.inputs); } } void backward_logistic_layer(const layer l, network net) { axpy_cpu(l.inputs*l.batch, 1, l.delta, 1, net.delta, 1); } #ifdef GPU void forward_logistic_layer_gpu(const layer l, network net) { copy_gpu(l.outputs*l.batch, net.input_gpu, 1, l.output_gpu, 1); activate_array_gpu(l.output_gpu, l.outputs*l.batch, LOGISTIC); if(net.truth){ logistic_x_ent_gpu(l.batch*l.inputs, l.output_gpu, net.truth_gpu, l.delta_gpu, l.loss_gpu); cuda_pull_array(l.loss_gpu, l.loss, l.batch*l.inputs); l.cost[0] = sum_array(l.loss, l.batch*l.inputs); } } void backward_logistic_layer_gpu(const layer l, network net) { axpy_gpu(l.batch*l.inputs, 1, l.delta_gpu, 1, net.delta_gpu, 1); } #endif