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| #include "shortcut_layer.h"
| #include "cuda.h"
| #include "blas.h"
| #include <stdio.h>
| #include <assert.h>
|
| layer make_shortcut_layer(int batch, int index, int w, int h, int c, int w2, int h2, int c2)
| {
| fprintf(stderr,"Shortcut Layer: %d\n", index);
| layer l = {0};
| l.type = SHORTCUT;
| l.batch = batch;
| l.w = w;
| l.h = h;
| l.c = c;
| l.out_w = w;
| l.out_h = h;
| l.out_c = c;
| l.outputs = w*h*c;
| l.inputs = w*h*c;
| int stride = w2 / w;
|
| assert(stride * w == w2);
| assert(stride * h == h2);
| assert(c >= c2);
|
| l.stride = stride;
| l.n = c2;
| l.index = index;
|
| l.delta = calloc(l.outputs*batch, sizeof(float));
| l.output = calloc(l.outputs*batch, sizeof(float));;
| #ifdef GPU
| l.delta_gpu = cuda_make_array(l.delta, l.outputs*batch);
| l.output_gpu = cuda_make_array(l.output, l.outputs*batch);
| #endif
| return l;
| }
|
| void forward_shortcut_layer(const layer l, network_state state)
| {
| copy_cpu(l.outputs*l.batch, state.input, 1, l.output, 1);
| shortcut_cpu(l.output, l.w, l.h, l.c, l.batch, 1, state.net.layers[l.index].output, l.stride, l.n);
| }
|
| void backward_shortcut_layer(const layer l, network_state state)
| {
| copy_cpu(l.outputs*l.batch, l.delta, 1, state.delta, 1);
| shortcut_cpu(state.net.layers[l.index].delta, l.w*l.stride, l.h*l.stride, l.n, l.batch, l.stride, l.delta, 1, l.c);
| }
|
| #ifdef GPU
| void forward_shortcut_layer_gpu(const layer l, network_state state)
| {
| copy_ongpu(l.outputs*l.batch, state.input, 1, l.output_gpu, 1);
| shortcut_gpu(l.output_gpu, l.w, l.h, l.c, l.batch, 1, state.net.layers[l.index].output_gpu, l.stride, l.n);
| }
|
| void backward_shortcut_layer_gpu(const layer l, network_state state)
| {
| copy_ongpu(l.outputs*l.batch, l.delta_gpu, 1, state.delta, 1);
| shortcut_gpu(state.net.layers[l.index].delta_gpu, l.w*l.stride, l.h*l.stride, l.n, l.batch, l.stride, l.delta_gpu, 1, l.c);
| }
| #endif
|
|
