tahoma2d/toonz/sources/tnzext/tlin/tlin_cblas_wrap.cpp
Campbell Barton 8c6c57f1b4 Enable missing-declarations warning (#643)
Finish ensuring symbols use headers correctly
2016-07-22 13:38:33 +09:00

107 lines
2.8 KiB
C++

#include <stddef.h>
#include <stdlib.h>
#include <memory>
#include <cstring>
#if defined(_MSC_VER) && (_MSC_VER >= 1900)
// dummy definition for linker
#include <conio.h>
extern "C" {
void __imp__cprintf(char const *const _Format) { _cprintf(_Format); }
}
#endif
// blasint may either be common 4 bytes or extended 8 (long)...
// Replace this and REBUILD the CBLAS with extended int if needed.
typedef int blasint;
extern "C" {
#include "tlin/cblas.h"
}
#include "tlin/tlin_cblas_wrap.h"
//========================================================================================
/*
LITTLE RESUME OF BLAS NOMENCLATURE
Function names behave like:
cblas_[Precision][Matrix type][Operation specifier]
Precision can be:
S - REAL C - COMPLEX
D - DOUBLE PRECISION Z - COMPLEX*16 (may not be supported by all
machines)
In current wrapper implementation only D routines will be adopted.
Matrix type can be:
GE - GEneral GB - General Band
SY - SYmmetric SB - Sym. Band SP - Sym. Packed
HE - HErmitian HB - Herm. Band HP - Herm. Packed
TR - TRiangular TB - Triang. Band TP - Triang. Packed
In current wrapper implementation only GE routines will be adopted.
Operation specifier depends on the operation. For example, mm means matrix *
matrix, mv matrix * vector, etc..
*/
//========================================================================================
static void sum(int n, const double *x, double *&y) {
/*
void cblas_daxpy(blasint n, double a, double *x, blasint incx, double *y,
blasint incy);
NOTE:
Returns a * x + y. Output is stored in y.
incx and incy are the increments in array access - ie x[incx * i] and y[incy *
j] values only are
considered (=> we'll use 1).
*/
double *_x = const_cast<double *>(x);
cblas_daxpy(n, 1.0, _x, 1, y, 1);
}
//---------------------------------------------------------------------------------------------------
void tlin::multiply(int rows, int cols, const double *A, const double *x,
double *&y) {
/*
void cblas_dgemv(enum CBLAS_ORDER order, enum CBLAS_TRANSPOSE trans, blasint
m, blasint n,
double alpha, double *a, blasint lda, double *x, blasint incx,
double beta, double *y, blasint incy);
NOTE:
Returns alpha*A*x + beta*y. Output is stored in y.
*/
if (!y) {
y = (double *)malloc(rows * sizeof(double));
memset(y, 0, rows * sizeof(double));
}
double *_A = const_cast<double *>(A);
double *_x = const_cast<double *>(x);
cblas_dgemv(CblasColMajor, CblasNoTrans, rows, cols, 1.0, _A, rows, _x, 1,
1.0, y, 1);
}
//---------------------------------------------------------------------------------------------------
void tlin::multiply(const mat &A, const double *x, double *&y) {
multiply(A.rows(), A.cols(), A.values(), x, y);
}