devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

Clang-format tests, examples, libraries, benchmarks, etc.

Browse Source
This commit is contained in:
Antonio Sánchez
2023-12-05 21:22:55 +00:00
committed by Rasmus Munk Larsen
parent 3252ecc7a4
commit 46e9cdb7fe
876 changed files with 33453 additions and 37795 deletions
Download Patch File Download Diff File Expand all files Collapse all files

26
test/nestbyvalue.cpp
View File

@@ -12,28 +12,26 @@
#include "main.h"
typedef NestByValue<MatrixXd> CpyMatrixXd;
typedef CwiseBinaryOp<internal::scalar_sum_op<double,double>,const CpyMatrixXd,const CpyMatrixXd> XprType;
typedef CwiseBinaryOp<internal::scalar_sum_op<double, double>, const CpyMatrixXd, const CpyMatrixXd> XprType;
XprType get_xpr_with_temps(const MatrixXd& a)
{
XprType get_xpr_with_temps(const MatrixXd& a) {
MatrixXd t1 = a.rowwise().reverse();
MatrixXd t2 = a+a;
MatrixXd t2 = a + a;
return t1.nestByValue() + t2.nestByValue();
}
EIGEN_DECLARE_TEST(nestbyvalue)
{
for(int i = 0; i < g_repeat; i++) {
Index rows = internal::random<Index>(1,EIGEN_TEST_MAX_SIZE);
Index cols = internal::random<Index>(1,EIGEN_TEST_MAX_SIZE);
MatrixXd a = MatrixXd::Random(rows,cols);
EIGEN_DECLARE_TEST(nestbyvalue) {
for (int i = 0; i < g_repeat; i++) {
Index rows = internal::random<Index>(1, EIGEN_TEST_MAX_SIZE);
Index cols = internal::random<Index>(1, EIGEN_TEST_MAX_SIZE);
MatrixXd a = MatrixXd::Random(rows, cols);
nb_temporaries = 0;
XprType x = get_xpr_with_temps(a);
VERIFY_IS_EQUAL(nb_temporaries,6);
VERIFY_IS_EQUAL(nb_temporaries, 6);
MatrixXd b = x;
VERIFY_IS_EQUAL(nb_temporaries,6+1);
VERIFY_IS_APPROX(b, a.rowwise().reverse().eval() + (a+a).eval());
VERIFY_IS_EQUAL(nb_temporaries, 6 + 1);
VERIFY_IS_APPROX(b, a.rowwise().reverse().eval() + (a + a).eval());
// Block expressions work with dense NestByValue.
VERIFY_IS_APPROX(b, a.nestByValue().rowwise().reverse().eval() + (a.nestByValue()+a.nestByValue()).eval());
VERIFY_IS_APPROX(b, a.nestByValue().rowwise().reverse().eval() + (a.nestByValue() + a.nestByValue()).eval());
}
}