本文整理汇总了C++中TA::colptr方法的典型用法代码示例。如果您正苦于以下问题：C++ TA::colptr方法的具体用法？C++ TA::colptr怎么用？C++ TA::colptr使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类TA的用法示例。
在下文中一共展示了TA::colptr方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1:
arma_hot
inline
void
op_strans::apply_noalias(Mat<eT>& out, const TA& A)
{
arma_extra_debug_sigprint();
const uword A_n_cols = A.n_cols;
const uword A_n_rows = A.n_rows;
out.set_size(A_n_cols, A_n_rows);
if( (TA::is_row) || (TA::is_col) || (A_n_cols == 1) || (A_n_rows == 1) )
{
arrayops::copy( out.memptr(), A.memptr(), A.n_elem );
}
else
{
if( (A_n_rows <= 4) && (A_n_rows == A_n_cols) )
{
op_strans::apply_noalias_tinysq(out, A);
}
else
{
for(uword k=0; k < A_n_cols; ++k)
{
uword i, j;
const eT* colptr = A.colptr(k);
for(i=0, j=1; j < A_n_rows; i+=2, j+=2)
{
const eT tmp_i = colptr[i];
const eT tmp_j = colptr[j];
out.at(k, i) = tmp_i;
out.at(k, j) = tmp_j;
}
if(i < A_n_rows)
{
out.at(k, i) = colptr[i];
}
}
}
}
}示例2: if
arma_hot
inline
static
void
apply
(
Mat<eT>& C,
const TA& A,
const TB& B,
const eT alpha = eT(1),
const eT beta = eT(0)
)
{
arma_extra_debug_sigprint();
const uword A_n_rows = A.n_rows;
const uword A_n_cols = A.n_cols;
const uword B_n_rows = B.n_rows;
const uword B_n_cols = B.n_cols;
if( (do_trans_A == false) && (do_trans_B == false) )
{
arma_aligned podarray<eT> tmp(A_n_cols);
eT* A_rowdata = tmp.memptr();
for(uword row_A=0; row_A < A_n_rows; ++row_A)
{
//tmp.copy_row(A, row_A);
const eT acc0 = op_dot::dot_and_copy_row(A_rowdata, A, row_A, B.colptr(0), A_n_cols);
if( (use_alpha == false) && (use_beta == false) ) { C.at(row_A,0) = acc0; }
else if( (use_alpha == true ) && (use_beta == false) ) { C.at(row_A,0) = alpha*acc0; }
else if( (use_alpha == false) && (use_beta == true ) ) { C.at(row_A,0) = acc0 + beta*C.at(row_A,0); }
else if( (use_alpha == true ) && (use_beta == true ) ) { C.at(row_A,0) = alpha*acc0 + beta*C.at(row_A,0); }
//for(uword col_B=0; col_B < B_n_cols; ++col_B)
for(uword col_B=1; col_B < B_n_cols; ++col_B)
{
const eT acc = op_dot::direct_dot_arma(B_n_rows, A_rowdata, B.colptr(col_B));
if( (use_alpha == false) && (use_beta == false) ) { C.at(row_A,col_B) = acc; }
else if( (use_alpha == true ) && (use_beta == false) ) { C.at(row_A,col_B) = alpha*acc; }
else if( (use_alpha == false) && (use_beta == true ) ) { C.at(row_A,col_B) = acc + beta*C.at(row_A,col_B); }
else if( (use_alpha == true ) && (use_beta == true ) ) { C.at(row_A,col_B) = alpha*acc + beta*C.at(row_A,col_B); }
}
}
}
else
if( (do_trans_A == true) && (do_trans_B == false) )
{
for(uword col_A=0; col_A < A_n_cols; ++col_A)
{
// col_A is interpreted as row_A when storing the results in matrix C
const eT* A_coldata = A.colptr(col_A);
for(uword col_B=0; col_B < B_n_cols; ++col_B)
{
const eT acc = op_dot::direct_dot_arma(B_n_rows, A_coldata, B.colptr(col_B));
if( (use_alpha == false) && (use_beta == false) ) { C.at(col_A,col_B) = acc; }
else if( (use_alpha == true ) && (use_beta == false) ) { C.at(col_A,col_B) = alpha*acc; }
else if( (use_alpha == false) && (use_beta == true ) ) { C.at(col_A,col_B) = acc + beta*C.at(col_A,col_B); }
else if( (use_alpha == true ) && (use_beta == true ) ) { C.at(col_A,col_B) = alpha*acc + beta*C.at(col_A,col_B); }
}
}
}
else
if( (do_trans_A == false) && (do_trans_B == true) )
{
Mat<eT> BB;
op_strans::apply_noalias(BB, B);
gemm_emul_large<false, false, use_alpha, use_beta>::apply(C, A, BB, alpha, beta);
}
else
if( (do_trans_A == true) && (do_trans_B == true) )
{
// mat B_tmp = trans(B);
// dgemm_arma<true, false, use_alpha, use_beta>::apply(C, A, B_tmp, alpha, beta);
// By using the trans(A)*trans(B) = trans(B*A) equivalency,
// transpose operations are not needed
arma_aligned podarray<eT> tmp(B.n_cols);
eT* B_rowdata = tmp.memptr();
for(uword row_B=0; row_B < B_n_rows; ++row_B)
{
tmp.copy_row(B, row_B);
for(uword col_A=0; col_A < A_n_cols; ++col_A)
{
const eT acc = op_dot::direct_dot_arma(A_n_rows, B_rowdata, A.colptr(col_A));
if( (use_alpha == false) && (use_beta == false) ) { C.at(col_A,row_B) = acc; }
else if( (use_alpha == true ) && (use_beta == false) ) { C.at(col_A,row_B) = alpha*acc; }
//.........这里部分代码省略.........