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

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

View File

@@ -12,82 +12,71 @@
namespace internal {
/* \internal
* Solve Ax=b with A a band triangular matrix
* TODO: extend it to matrices for x abd b */
template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar, int StorageOrder>
/* \internal
* Solve Ax=b with A a band triangular matrix
* TODO: extend it to matrices for x abd b */
template <typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar, int StorageOrder>
struct band_solve_triangular_selector;
template <typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar>
struct band_solve_triangular_selector<Index, Mode, LhsScalar, ConjLhs, RhsScalar, RowMajor> {
typedef Map<const Matrix<LhsScalar, Dynamic, Dynamic, RowMajor>, 0, OuterStride<> > LhsMap;
typedef Map<Matrix<RhsScalar, Dynamic, 1> > RhsMap;
enum { IsLower = (Mode & Lower) ? 1 : 0 };
static void run(Index size, Index k, const LhsScalar* _lhs, Index lhsStride, RhsScalar* _other) {
const LhsMap lhs(_lhs, size, k + 1, OuterStride<>(lhsStride));
RhsMap other(_other, size, 1);
std::conditional_t<ConjLhs, const CwiseUnaryOp<typename internal::scalar_conjugate_op<LhsScalar>, LhsMap>,
const LhsMap&>
cjLhs(lhs);
template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar>
struct band_solve_triangular_selector<Index,Mode,LhsScalar,ConjLhs,RhsScalar,RowMajor>
{
typedef Map<const Matrix<LhsScalar,Dynamic,Dynamic,RowMajor>, 0, OuterStride<> > LhsMap;
typedef Map<Matrix<RhsScalar,Dynamic,1> > RhsMap;
enum { IsLower = (Mode&Lower) ? 1 : 0 };
static void run(Index size, Index k, const LhsScalar* _lhs, Index lhsStride, RhsScalar* _other)
{
const LhsMap lhs(_lhs,size,k+1,OuterStride<>(lhsStride));
RhsMap other(_other,size,1);
std::conditional_t<ConjLhs,
const CwiseUnaryOp<typename internal::scalar_conjugate_op<LhsScalar>,LhsMap>,
const LhsMap&> cjLhs(lhs);
for(int col=0 ; col<other.cols() ; ++col)
{
for(int ii=0; ii<size; ++ii)
{
int i = IsLower ? ii : size-ii-1;
int actual_k = (std::min)(k,ii);
int actual_start = IsLower ? k-actual_k : 1;
if(actual_k>0)
other.coeffRef(i,col) -= cjLhs.row(i).segment(actual_start,actual_k).transpose()
.cwiseProduct(other.col(col).segment(IsLower ? i-actual_k : i+1,actual_k)).sum();
for (int col = 0; col < other.cols(); ++col) {
for (int ii = 0; ii < size; ++ii) {
int i = IsLower ? ii : size - ii - 1;
int actual_k = (std::min)(k, ii);
int actual_start = IsLower ? k - actual_k : 1;
if((Mode&UnitDiag)==0)
other.coeffRef(i,col) /= cjLhs(i,IsLower ? k : 0);
}
}
}
};
if (actual_k > 0)
other.coeffRef(i, col) -= cjLhs.row(i)
.segment(actual_start, actual_k)
.transpose()
.cwiseProduct(other.col(col).segment(IsLower ? i - actual_k : i + 1, actual_k))
.sum();
template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar>
struct band_solve_triangular_selector<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ColMajor>
{
typedef Map<const Matrix<LhsScalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > LhsMap;
typedef Map<Matrix<RhsScalar,Dynamic,1> > RhsMap;
enum { IsLower = (Mode&Lower) ? 1 : 0 };
static void run(Index size, Index k, const LhsScalar* _lhs, Index lhsStride, RhsScalar* _other)
{
const LhsMap lhs(_lhs,k+1,size,OuterStride<>(lhsStride));
RhsMap other(_other,size,1);
std::conditional_t<ConjLhs,
const CwiseUnaryOp<typename internal::scalar_conjugate_op<LhsScalar>,LhsMap>,
const LhsMap&> cjLhs(lhs);
for(int col=0 ; col<other.cols() ; ++col)
{
for(int ii=0; ii<size; ++ii)
{
int i = IsLower ? ii : size-ii-1;
int actual_k = (std::min)(k,size-ii-1);
int actual_start = IsLower ? 1 : k-actual_k;
if((Mode&UnitDiag)==0)
other.coeffRef(i,col) /= cjLhs(IsLower ? 0 : k, i);
if(actual_k>0)
other.col(col).segment(IsLower ? i+1 : i-actual_k, actual_k)
-= other.coeff(i,col) * cjLhs.col(i).segment(actual_start,actual_k);
if ((Mode & UnitDiag) == 0) other.coeffRef(i, col) /= cjLhs(i, IsLower ? k : 0);
}
}
}
};
template <typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar>
struct band_solve_triangular_selector<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ColMajor> {
typedef Map<const Matrix<LhsScalar, Dynamic, Dynamic, ColMajor>, 0, OuterStride<> > LhsMap;
typedef Map<Matrix<RhsScalar, Dynamic, 1> > RhsMap;
enum { IsLower = (Mode & Lower) ? 1 : 0 };
static void run(Index size, Index k, const LhsScalar* _lhs, Index lhsStride, RhsScalar* _other) {
const LhsMap lhs(_lhs, k + 1, size, OuterStride<>(lhsStride));
RhsMap other(_other, size, 1);
std::conditional_t<ConjLhs, const CwiseUnaryOp<typename internal::scalar_conjugate_op<LhsScalar>, LhsMap>,
const LhsMap&>
cjLhs(lhs);
} // end namespace internal
for (int col = 0; col < other.cols(); ++col) {
for (int ii = 0; ii < size; ++ii) {
int i = IsLower ? ii : size - ii - 1;
int actual_k = (std::min)(k, size - ii - 1);
int actual_start = IsLower ? 1 : k - actual_k;
#endif // EIGEN_BAND_TRIANGULARSOLVER_H
if ((Mode & UnitDiag) == 0) other.coeffRef(i, col) /= cjLhs(IsLower ? 0 : k, i);
if (actual_k > 0)
other.col(col).segment(IsLower ? i + 1 : i - actual_k, actual_k) -=
other.coeff(i, col) * cjLhs.col(i).segment(actual_start, actual_k);
}
}
}
};
} // end namespace internal
#endif // EIGEN_BAND_TRIANGULARSOLVER_H