Davide Sapienza
62 lines
1.4 KiB
C++
62 lines
1.4 KiB
C++
#include <iostream>
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#include "Layer.h"
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#include "kernels.h"
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namespace tk { namespace dnn {
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Route::Route(Network *net, Layer **layers, int layers_n) : Layer(net) {
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// copy input layers
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if(layers_n > MAX_LAYERS) {
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FatalError("ROUTE: reached max number of input layers");
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}
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for(int i=0; i<layers_n; i++) {
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this->layers[i] = layers[i];
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}
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this->layers_n = layers_n;
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//get dims
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output_dim.l = 1;
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output_dim.c = 0;
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for(int i=0; i<layers_n; i++) {
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if(i==0) {
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output_dim.w = layers[i]->output_dim.w;
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output_dim.h = layers[i]->output_dim.h;
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} else {
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if( layers[i]->output_dim.w != output_dim.w ||
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layers[i]->output_dim.h != output_dim.h )
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FatalError("Route Output dim missmatch");
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}
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output_dim.c += layers[i]->output_dim.c;
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}
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input_dim = output_dim;
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checkCuda( cudaMalloc(&dstData, output_dim.tot()*sizeof(dnnType)) );
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}
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Route::~Route() {
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checkCuda( cudaFree(dstData) );
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}
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dnnType* Route::infer(dataDim_t &dim, dnnType* srcData) {
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int offset = 0;
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for(int i=0; i<layers_n; i++) {
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dnnType *input = layers[i]->dstData;
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int in_dim = layers[i]->output_dim.tot();
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checkCuda( cudaMemcpy(dstData + offset, input, in_dim*sizeof(dnnType), cudaMemcpyDeviceToDevice));
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offset += in_dim;
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}
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//update data dimensions
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dim = output_dim;
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return dstData;
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}
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}} |