I need to access the real and imaginary parts of a cusp::complex type vector, for the purpose of sending it to a matlab variable through, mex. How do I access the real and imaginary parts separately of a vector of type.
cusp::array1d<cusp::complex<double>,cusp::host_memory> x;
I am at the moment making two std::vectors and looping through it.
std::vector<double> xreal(n);
std::vector<double> ximag(n);
for(int i=0;i<n;i++){
xreal[n]=x[i].real();
ximag[n]=x[i].imag();
}
And then transfering it to a matlab variable using thrust.
mxArray *T = mxCreateDoubleMatrix(n, 1, mxCOMPLEX);
double *tp_real = mxGetPr(T);
double *tp_imag = mxGetPi(T)
thrust::copy(xreal.begin(), xreal.end(), tp_real);
thrust::copy(ximag.begin(), ximag.end(), tp_imag);
plhs[0] = T;
I want to know how I can use thrust for accessing the real and imaginary parts of the complex array
cusp::array1d<cusp::complex<double>,cusp::host_memory> x;
to transfer it through the corresponding real and imaginary pointers of the mxArray. directly, so that I can avoid the loop.
Ok so I have managed to solve it using functors, I made two functors (not sure if this is called a functor, but anyways)
__host__ double realpart(cusp::complex<double> val){
return val.real();
}
__host__ double imagpart(cusp::complex<double> val){
return val.imag();
}
And used thrust::transform
cusp::array1d<double,cusp::host_memory>xreal(n);
cusp::array1d<double,cusp::host_memory>ximag(n);
thrust::transform(x.begin(),x.end(),xreal.begin(),realpart);
thrust::transform(x.begin(),x.end(),ximag.begin(),imagpart);
It worked, and then I could fill it normally using thrust::copy to the pointer. It doesnt work for a device_memory array. I tried adding __device___ to the functor, but it did not work.