C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1

datastructures_homogentensor.cpp

/* file: datastructures_homogentensor.cpp */
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/*
! Content:
! C++ example of using homogeneous tensor data structures
!******************************************************************************/
#include "daal.h"
#include "service.h"
using namespace daal;
using namespace data_management;
int main()
{
float data[3][3][3] = {{{1,2,3},{4,5,6},{7,8,9}},{{11,12,13},{14,15,16},{17,18,19}},{{21,22,23},{24,25,26},{27,28,29}}};
size_t nDim = 3, dims[] = {3,3,3};
printf("Initial data:\n");
for(size_t i= 0;i<dims[0]*dims[1]*dims[2];i++)
{
printf("% 5.1f ", ((float*)data)[i]);
}
printf("\n");
services::SharedPtr<HomogenTensor<> > hc = HomogenTensor<>::create(nDim, dims, (float*)data);
checkPtr(hc.get());
SubtensorDescriptor<float> subtensor;
size_t fDimN = 2, fDims[] = {0,1};
hc->getSubtensor(fDimN, fDims, 1, 2, readWrite, subtensor);
size_t d = subtensor.getNumberOfDims();
printf("Subtensor dimensions: %i\n", (int)(d));
size_t n = subtensor.getSize();
printf("Subtensor size: %i\n", (int)(n));
float* p = subtensor.getPtr();
printf("Subtensor data:\n");
for(size_t i= 0;i<n;i++)
{
printf("% 5.1lf ", p[i]);
}
printf("\n");
p[0]=-1;
hc->releaseSubtensor(subtensor);
printf("Data after modification:\n");
for(size_t i= 0;i<dims[0]*dims[1]*dims[2];i++)
{
printf("% 5.1f ", ((float*)data)[i]);
}
printf("\n");
return 0;
}

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