#include "avgpool_layer.h" #include "cuda.h" #include avgpool_layer make_avgpool_layer(int batch, int w, int h, int c) { fprintf(stderr, "avg %4d x%4d x%4d -> %4d\n", w, h, c, c); avgpool_layer l = {0}; l.type = AVGPOOL; l.batch = batch; l.h = h; l.w = w; l.c = c; l.out_w = 1; l.out_h = 1; l.out_c = c; l.outputs = l.out_c; l.inputs = h*w*c; int output_size = l.outputs * batch; l.output = calloc(output_size, sizeof(float)); l.delta = calloc(output_size, sizeof(float)); l.forward = forward_avgpool_layer; l.backward = backward_avgpool_layer; #ifdef GPU l.forward_gpu = forward_avgpool_layer_gpu; l.backward_gpu = backward_avgpool_layer_gpu; l.output_gpu = cuda_make_array(l.output, output_size); l.delta_gpu = cuda_make_array(l.delta, output_size); #endif return l; } void resize_avgpool_layer(avgpool_layer *l, int w, int h) { l->w = w; l->h = h; l->inputs = h*w*l->c; } void forward_avgpool_layer(const avgpool_layer l, network net) { int b,i,k; for(b = 0; b < l.batch; ++b){ for(k = 0; k < l.c; ++k){ int out_index = k + b*l.c; l.output[out_index] = 0; for(i = 0; i < l.h*l.w; ++i){ int in_index = i + l.h*l.w*(k + b*l.c); l.output[out_index] += net.input[in_index]; } l.output[out_index] /= l.h*l.w; } } } void backward_avgpool_layer(const avgpool_layer l, network net) { int b,i,k; for(b = 0; b < l.batch; ++b){ for(k = 0; k < l.c; ++k){ int out_index = k + b*l.c; for(i = 0; i < l.h*l.w; ++i){ int in_index = i + l.h*l.w*(k + b*l.c); net.delta[in_index] += l.delta[out_index] / (l.h*l.w); } } } }