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https://github.com/pjreddie/darknet.git
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forgot route layer
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0cbfa46461
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87
src/route_layer.c
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87
src/route_layer.c
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#include "route_layer.h"
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#include "cuda.h"
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#include "blas.h"
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#include <stdio.h>
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route_layer *make_route_layer(int batch, int n, int *input_layers, int *input_sizes)
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{
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printf("Route Layer:");
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route_layer *layer = calloc(1, sizeof(route_layer));
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layer->batch = batch;
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layer->n = n;
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layer->input_layers = input_layers;
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layer->input_sizes = input_sizes;
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int i;
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int outputs = 0;
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for(i = 0; i < n; ++i){
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printf(" %d", input_layers[i]);
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outputs += input_sizes[i];
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}
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printf("\n");
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layer->outputs = outputs;
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layer->delta = calloc(outputs*batch, sizeof(float));
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layer->output = calloc(outputs*batch, sizeof(float));;
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#ifdef GPU
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layer->delta_gpu = cuda_make_array(0, outputs*batch);
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layer->output_gpu = cuda_make_array(0, outputs*batch);
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#endif
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return layer;
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}
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void forward_route_layer(const route_layer layer, network net)
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{
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int i, j;
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int offset = 0;
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for(i = 0; i < layer.n; ++i){
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float *input = get_network_output_layer(net, layer.input_layers[i]);
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int input_size = layer.input_sizes[i];
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for(j = 0; j < layer.batch; ++j){
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copy_cpu(input_size, input + j*input_size, 1, layer.output + offset + j*layer.outputs, 1);
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}
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offset += input_size;
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}
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}
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void backward_route_layer(const route_layer layer, network net)
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{
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int i, j;
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int offset = 0;
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for(i = 0; i < layer.n; ++i){
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float *delta = get_network_delta_layer(net, layer.input_layers[i]);
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int input_size = layer.input_sizes[i];
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for(j = 0; j < layer.batch; ++j){
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copy_cpu(input_size, layer.delta + offset + j*layer.outputs, 1, delta + j*input_size, 1);
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}
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offset += input_size;
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}
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}
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#ifdef GPU
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void forward_route_layer_gpu(const route_layer layer, network net)
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{
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int i, j;
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int offset = 0;
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for(i = 0; i < layer.n; ++i){
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float *input = get_network_output_gpu_layer(net, layer.input_layers[i]);
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int input_size = layer.input_sizes[i];
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for(j = 0; j < layer.batch; ++j){
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copy_ongpu(input_size, input + j*input_size, 1, layer.output_gpu + offset + j*layer.outputs, 1);
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}
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offset += input_size;
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}
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}
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void backward_route_layer_gpu(const route_layer layer, network net)
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{
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int i, j;
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int offset = 0;
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for(i = 0; i < layer.n; ++i){
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float *delta = get_network_delta_gpu_layer(net, layer.input_layers[i]);
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int input_size = layer.input_sizes[i];
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for(j = 0; j < layer.batch; ++j){
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copy_ongpu(input_size, layer.delta_gpu + offset + j*layer.outputs, 1, delta + j*input_size, 1);
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}
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offset += input_size;
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}
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}
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#endif
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28
src/route_layer.h
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28
src/route_layer.h
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@ -0,0 +1,28 @@
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#ifndef ROUTE_LAYER_H
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#define ROUTE_LAYER_H
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#include "network.h"
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typedef struct {
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int batch;
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int outputs;
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int n;
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int * input_layers;
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int * input_sizes;
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float * delta;
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float * output;
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#ifdef GPU
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float * delta_gpu;
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float * output_gpu;
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#endif
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} route_layer;
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route_layer *make_route_layer(int batch, int n, int *input_layers, int *input_size);
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void forward_route_layer(const route_layer layer, network net);
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void backward_route_layer(const route_layer layer, network net);
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#ifdef GPU
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void forward_route_layer_gpu(const route_layer layer, network net);
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void backward_route_layer_gpu(const route_layer layer, network net);
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#endif
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#endif
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