Bausager
cb65174cf4
fixed rowwise/colswise mean/sum and implemented binomial_corssentrhopy. Next up is regression.
39 lines
902 B
C++
39 lines
902 B
C++
#pragma once
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#include "core/omp_config.h"
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#include "utils/matrix.h"
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namespace utils{
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template <typename To, typename From>
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void inplace_matcast(const utils::Matrix<From>& A, utils::Matrix<To>& B) {
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if ((A.rows() != B.rows()) || (A.cols() != B.cols())){
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throw std::runtime_error("inplace_matcast: dimension mismatch");
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}
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const uint64_t rows = A.rows();
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const uint64_t cols = A.cols();
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for (uint64_t i = 0; i < rows; ++i){
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for (uint64_t j = 0; j < cols; ++j){
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B(i,j) = static_cast<To>(A(i,j));
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}
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}
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}
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template <typename To, typename From>
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utils::Matrix<To> matcast(const utils::Matrix<From>& A) {
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utils::Matrix<To> B(A.rows(), A.cols(), To{0});
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inplace_matcast(A,B);
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return B;
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}
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// utils::matcast<float, uint64_t> (A);
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} // end namespace utils
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