diff_op_col_naive_matrix
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@ -572,6 +572,82 @@ pub(crate) fn diff_op_col_naive(
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}
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}
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#[inline(always)]
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#[allow(unused)]
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pub(crate) fn diff_op_col_naive_matrix<const M: usize, const N: usize, const D: usize>(
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block: &Matrix<Float, M, N>,
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blockend: &Matrix<Float, M, N>,
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diag: &RowVector<Float, D>,
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optype: OperatorType,
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prev: ArrayView2<Float>,
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mut fut: ArrayViewMut2<Float>,
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) {
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assert_eq!(prev.shape(), fut.shape());
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let nx = prev.shape()[1];
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let ny = prev.shape()[0];
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assert!(nx >= 2 * M);
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assert_eq!(prev.strides()[0], 1);
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assert_eq!(fut.strides()[0], 1);
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let dx = if optype == OperatorType::H2 {
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1.0 / (nx - 2) as Float
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} else {
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1.0 / (nx - 1) as Float
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};
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let idx = 1.0 / dx;
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fut.fill(0.0);
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let (mut fut0, mut futmid, mut futn) = fut.multi_slice_mut((
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ndarray::s![.., ..M],
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ndarray::s![.., M..nx - M],
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ndarray::s![.., nx - M..],
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));
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// First block
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for (bl, mut fut) in block.iter_rows().zip(fut0.axis_iter_mut(ndarray::Axis(1))) {
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debug_assert_eq!(fut.len(), prev.shape()[0]);
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for (&bl, prev) in bl.iter().zip(prev.axis_iter(ndarray::Axis(1))) {
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if bl == 0.0 {
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continue;
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}
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debug_assert_eq!(prev.len(), fut.len());
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fut.scaled_add(idx * bl, &prev);
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}
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}
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let window_elems_to_skip = M - ((D - 1) / 2);
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// Diagonal entries
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for (mut fut, id) in futmid
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.axis_iter_mut(ndarray::Axis(1))
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.zip(prev.windows((ny, D)).into_iter().skip(window_elems_to_skip))
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{
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for (&d, id) in diag.iter().zip(id.axis_iter(ndarray::Axis(1))) {
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if d == 0.0 {
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continue;
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}
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fut.scaled_add(idx * d, &id)
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}
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}
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// End block
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let prev = prev.slice(ndarray::s!(.., nx - N..));
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for (bl, mut fut) in blockend
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.iter_rows()
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.zip(futn.axis_iter_mut(ndarray::Axis(1)))
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{
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fut.fill(0.0);
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for (&bl, prev) in bl.iter().zip(prev.axis_iter(ndarray::Axis(1))) {
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if bl == 0.0 {
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continue;
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}
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fut.scaled_add(idx * bl, &prev);
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}
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}
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}
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#[inline(always)]
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pub(crate) fn diff_op_col(
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block: &'static [&'static [Float]],
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@ -106,7 +106,7 @@ fn diff_op_row_local(prev: ndarray::ArrayView2<Float>, mut fut: ndarray::ArrayVi
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}
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fn diff_op_col_local(prev: ndarray::ArrayView2<Float>, fut: ndarray::ArrayViewMut2<Float>) {
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let optype = super::OperatorType::Normal;
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super::diff_op_col_matrix(
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super::diff_op_col_naive_matrix(
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&SBP4::BLOCK_MATRIX,
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&SBP4::BLOCKEND_MATRIX,
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&SBP4::DIAG_MATRIX,
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