| | |
| | | #include <stdio.h> |
| | | |
| | | |
| | | layer make_reorg_layer(int batch, int h, int w, int c, int stride) |
| | | layer make_reorg_layer(int batch, int h, int w, int c, int stride, int reverse) |
| | | { |
| | | layer l = {0}; |
| | | l.type = REORG; |
| | |
| | | l.h = h; |
| | | l.w = w; |
| | | l.c = c; |
| | | l.out_w = w*stride; |
| | | l.out_h = h*stride; |
| | | l.out_c = c/(stride*stride); |
| | | if(reverse){ |
| | | l.out_w = w*stride; |
| | | l.out_h = h*stride; |
| | | l.out_c = c/(stride*stride); |
| | | }else{ |
| | | l.out_w = w/stride; |
| | | l.out_h = h/stride; |
| | | l.out_c = c*(stride*stride); |
| | | } |
| | | l.reverse = reverse; |
| | | fprintf(stderr, "Reorg Layer: %d x %d x %d image -> %d x %d x %d image, \n", w,h,c,l.out_w, l.out_h, l.out_c); |
| | | l.outputs = l.out_h * l.out_w * l.out_c; |
| | | l.inputs = h*w*c; |
| | | int output_size = l.out_h * l.out_w * l.out_c * batch; |
| | | l.output = calloc(output_size, sizeof(float)); |
| | | l.delta = calloc(output_size, sizeof(float)); |
| | | #ifdef GPU |
| | | |
| | | l.forward = forward_reorg_layer; |
| | | l.backward = backward_reorg_layer; |
| | | #ifdef GPU |
| | | l.forward_gpu = forward_reorg_layer_gpu; |
| | | l.backward_gpu = backward_reorg_layer_gpu; |
| | | |
| | | l.output_gpu = cuda_make_array(l.output, output_size); |
| | | l.delta_gpu = cuda_make_array(l.delta, output_size); |
| | | #endif |
| | | #endif |
| | | return l; |
| | | } |
| | | |
| | | void resize_reorg_layer(layer *l, int w, int h) |
| | | { |
| | | int stride = l->stride; |
| | | int c = l->c; |
| | | |
| | | l->h = h; |
| | | l->w = w; |
| | | |
| | | l->out_w = w*stride; |
| | | l->out_h = h*stride; |
| | | if(l->reverse){ |
| | | l->out_w = w*stride; |
| | | l->out_h = h*stride; |
| | | l->out_c = c/(stride*stride); |
| | | }else{ |
| | | l->out_w = w/stride; |
| | | l->out_h = h/stride; |
| | | l->out_c = c*(stride*stride); |
| | | } |
| | | |
| | | l->outputs = l->out_h * l->out_w * l->out_c; |
| | | l->inputs = l->outputs; |
| | |
| | | l->output = realloc(l->output, output_size * sizeof(float)); |
| | | l->delta = realloc(l->delta, output_size * sizeof(float)); |
| | | |
| | | #ifdef GPU |
| | | #ifdef GPU |
| | | cuda_free(l->output_gpu); |
| | | cuda_free(l->delta_gpu); |
| | | l->output_gpu = cuda_make_array(l->output, output_size); |
| | | l->delta_gpu = cuda_make_array(l->delta, output_size); |
| | | #endif |
| | | #endif |
| | | } |
| | | |
| | | void forward_reorg_layer(const layer l, network_state state) |
| | |
| | | #ifdef GPU |
| | | void forward_reorg_layer_gpu(layer l, network_state state) |
| | | { |
| | | reorg_ongpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 1, l.output_gpu); |
| | | if(l.reverse){ |
| | | reorg_ongpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 1, l.output_gpu); |
| | | }else { |
| | | reorg_ongpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 0, l.output_gpu); |
| | | } |
| | | } |
| | | |
| | | void backward_reorg_layer_gpu(layer l, network_state state) |
| | | { |
| | | reorg_ongpu(l.delta_gpu, l.w, l.h, l.c, l.batch, l.stride, 0, state.delta); |
| | | if(l.reverse){ |
| | | reorg_ongpu(l.delta_gpu, l.w, l.h, l.c, l.batch, l.stride, 0, state.delta); |
| | | }else{ |
| | | reorg_ongpu(l.delta_gpu, l.w, l.h, l.c, l.batch, l.stride, 1, state.delta); |
| | | } |
| | | } |
| | | #endif |