Francesco Gatti
48 lines
1.6 KiB
C++
48 lines
1.6 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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Softmax::Softmax(Network *net) : Layer(net) {
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checkCuda( cudaMalloc(&dstData, input_dim.tot()*sizeof(dnnType)) );
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checkCUDNN( cudnnSetTensor4dDescriptor(srcTensorDesc,
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net->tensorFormat,
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net->dataType,
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input_dim.n*input_dim.l,
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input_dim.c,
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input_dim.h, input_dim.w) );
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checkCUDNN( cudnnSetTensor4dDescriptor(dstTensorDesc,
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net->tensorFormat,
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net->dataType,
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input_dim.n*input_dim.l,
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input_dim.c,
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input_dim.h, input_dim.w) );
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}
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Softmax::~Softmax() {
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checkCuda( cudaFree(dstData) );
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}
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dnnType* Softmax::infer(dataDim_t &dim, dnnType* srcData) {
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dnnType alpha = dnnType(1);
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dnnType beta = dnnType(0);
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checkCUDNN( cudnnSoftmaxForward(net->cudnnHandle,
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CUDNN_SOFTMAX_ACCURATE ,
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CUDNN_SOFTMAX_MODE_CHANNEL,
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&alpha,
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srcTensorDesc,
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srcData,
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&beta,
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dstTensorDesc,
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dstData) );
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return dstData;
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}
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}}
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