M-Labs
/
nalgebra
3
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Mul trait goes to faster kernel, pattern is correct

This commit is contained in:
Saurabh 2022-03-21 16:56:51 -06:00
parent f795f0f872
commit d1674d7577
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
nalgebra-sparse/src/ops/impl_std_ops.rs
View File

@ -3,7 +3,7 @@ use crate::csr::CsrMatrix;
use crate::ops::serial::{
spadd_csc_prealloc, spadd_csr_prealloc, spadd_pattern, spmm_csc_dense, spmm_csc_pattern,
spmm_csc_prealloc, spmm_csr_dense, spmm_csr_pattern, spmm_csr_prealloc,
spmm_csc_prealloc_unchecked, spmm_csr_dense, spmm_csr_pattern, spmm_csr_prealloc_unchecked,
};
use crate::ops::Op;
use nalgebra::allocator::Allocator;
@ -112,9 +112,9 @@ macro_rules! impl_spmm {
}
}
impl_spmm!(CsrMatrix, spmm_csr_pattern, spmm_csr_prealloc);
impl_spmm!(CsrMatrix, spmm_csr_pattern, spmm_csr_prealloc_unchecked);
// Need to switch order of operations for CSC pattern
impl_spmm!(CscMatrix, spmm_csc_pattern, spmm_csc_prealloc);
impl_spmm!(CscMatrix, spmm_csc_pattern, spmm_csc_prealloc_unchecked);
/// Implements Scalar * Matrix operations for *concrete* scalar types. The reason this is necessary
/// is that we are not able to implement Mul<Matrix<T>> for all T generically due to orphan rules.