Template Function Pennylane::LightningQubit::Util::CFTranspose(const std::complex<T> *, std::complex<T> *, std::size_t, std::size_t, std::size_t, std::size_t, std::size_t, std::size_t)

• Defined in File LinearAlgebra.hpp

Function Documentation

template<class T, std::size_t BLOCKSIZE = 16>
static inline void Pennylane::LightningQubit::Util::CFTranspose(const std::complex<T> *mat, std::complex<T> *mat_t, std::size_t m, std::size_t n, std::size_t m1, std::size_t m2, std::size_t n1, std::size_t n2)

Calculates transpose of a matrix recursively and Cache-Friendly using blocking and Cache-optimized techniques.

Template Parameters

• T – Floating point precision type.

• BLOCKSIZE – Size of submatrices in the blocking techinque.

Parameters

• mat – Data array repr. a flatten (row-wise) matrix m * n.

• mat_t – Pre-allocated data array to store the transpose of mat.

• m – Number of rows of mat.

• n – Number of columns of mat.

• m1 – Index of the first row.

• m2 – Index of the last row.

• n1 – Index of the first column.

• n2 – Index of the last column.

api/function_LinearAlgebra_8hpp_1a1ae6636a71799134c92f92f6bae0ab09

 

Download Python script

 

Download Notebook

 

View on GitHub