forked from M-Labs/nalgebra
Minor refactoring for sp* ops
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66cbd26702
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@ -31,6 +31,23 @@ where
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assert_compatible_spmm_dims!(c, a, b);
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match a {
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Op::NoOp(ref a) => {
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for j in 0..c.ncols() {
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let mut c_col_j = c.column_mut(j);
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for (c_ij, a_row_i) in c_col_j.iter_mut().zip(a.row_iter()) {
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let mut dot_ij = T::zero();
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for (&k, a_ik) in a_row_i.col_indices().iter().zip(a_row_i.values()) {
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let b_contrib =
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match b {
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Op::NoOp(ref b) => b.index((k, j)),
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Op::Transpose(ref b) => b.index((j, k))
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};
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dot_ij += a_ik.inlined_clone() * b_contrib.inlined_clone();
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}
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*c_ij = beta.inlined_clone() * c_ij.inlined_clone() + alpha.inlined_clone() * dot_ij;
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}
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}
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},
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Op::Transpose(ref a) => {
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// In this case, we have to pre-multiply C by beta
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c *= beta;
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@ -57,23 +74,6 @@ where
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}
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}
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},
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Op::NoOp(ref a) => {
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for j in 0..c.ncols() {
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let mut c_col_j = c.column_mut(j);
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for (c_ij, a_row_i) in c_col_j.iter_mut().zip(a.row_iter()) {
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let mut dot_ij = T::zero();
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for (&k, a_ik) in a_row_i.col_indices().iter().zip(a_row_i.values()) {
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let b_contrib =
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match b {
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Op::NoOp(ref b) => b.index((k, j)),
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Op::Transpose(ref b) => b.index((j, k))
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};
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dot_ij += a_ik.inlined_clone() * b_contrib.inlined_clone();
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}
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*c_ij = beta.inlined_clone() * c_ij.inlined_clone() + alpha.inlined_clone() * dot_ij;
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}
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}
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}
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}
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}
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@ -107,46 +107,48 @@ where
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}
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Ok(())
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} else {
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if let Op::Transpose(a) = a
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{
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if beta != T::one() {
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for c_ij in c.values_mut() {
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*c_ij *= beta.inlined_clone();
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}
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}
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match a {
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Op::NoOp(a) => {
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for (mut c_row_i, a_row_i) in c.row_iter_mut().zip(a.row_iter()) {
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if beta != T::one() {
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for c_ij in c_row_i.values_mut() {
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*c_ij *= beta.inlined_clone();
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}
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}
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for (i, a_row_i) in a.row_iter().enumerate() {
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for (&j, a_val) in a_row_i.col_indices().iter().zip(a_row_i.values()) {
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let a_val = a_val.inlined_clone();
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let alpha = alpha.inlined_clone();
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match c.index_entry_mut(j, i) {
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SparseEntryMut::NonZero(c_ji) => { *c_ji += alpha * a_val }
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SparseEntryMut::Zero => return Err(spadd_csr_unexpected_entry()),
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let (mut c_cols, mut c_vals) = c_row_i.cols_and_values_mut();
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let (a_cols, a_vals) = (a_row_i.col_indices(), a_row_i.values());
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for (a_col, a_val) in a_cols.iter().zip(a_vals) {
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// TODO: Use exponential search instead of linear search.
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// If C has substantially more entries in the row than A, then a line search
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// will needlessly visit many entries in C.
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let (c_idx, _) = c_cols.iter()
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.enumerate()
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.find(|(_, c_col)| *c_col == a_col)
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.ok_or_else(spadd_csr_unexpected_entry)?;
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c_vals[c_idx] += alpha.inlined_clone() * a_val.inlined_clone();
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c_cols = &c_cols[c_idx ..];
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c_vals = &mut c_vals[c_idx ..];
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}
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}
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}
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} else if let Op::NoOp(a) = a {
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for (mut c_row_i, a_row_i) in c.row_iter_mut().zip(a.row_iter()) {
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Op::Transpose(a) => {
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if beta != T::one() {
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for c_ij in c_row_i.values_mut() {
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for c_ij in c.values_mut() {
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*c_ij *= beta.inlined_clone();
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}
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}
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let (mut c_cols, mut c_vals) = c_row_i.cols_and_values_mut();
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let (a_cols, a_vals) = (a_row_i.col_indices(), a_row_i.values());
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for (a_col, a_val) in a_cols.iter().zip(a_vals) {
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// TODO: Use exponential search instead of linear search.
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// If C has substantially more entries in the row than A, then a line search
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// will needlessly visit many entries in C.
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let (c_idx, _) = c_cols.iter()
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.enumerate()
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.find(|(_, c_col)| *c_col == a_col)
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.ok_or_else(spadd_csr_unexpected_entry)?;
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c_vals[c_idx] += alpha.inlined_clone() * a_val.inlined_clone();
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c_cols = &c_cols[c_idx ..];
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c_vals = &mut c_vals[c_idx ..];
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for (i, a_row_i) in a.row_iter().enumerate() {
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for (&j, a_val) in a_row_i.col_indices().iter().zip(a_row_i.values()) {
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let a_val = a_val.inlined_clone();
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let alpha = alpha.inlined_clone();
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match c.index_entry_mut(j, i) {
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SparseEntryMut::NonZero(c_ji) => { *c_ji += alpha * a_val }
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SparseEntryMut::Zero => return Err(spadd_csr_unexpected_entry()),
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}
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}
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}
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}
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}
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