Preserve column dim type in CSR * Dense

This is necessary so that CSR * Vector == Vector (before it would
also yield a DMatrix).
This commit is contained in:
Andreas Longva 2021-01-22 17:56:26 +01:00
parent 15c4382fa9
commit 1fa0de92ae

View File

@ -3,8 +3,10 @@ use crate::csc::CscMatrix;
use std::ops::{Add, Div, DivAssign, Mul, MulAssign, Sub, Neg}; use std::ops::{Add, Div, DivAssign, Mul, MulAssign, Sub, Neg};
use crate::ops::serial::{spadd_csr_prealloc, spadd_csc_prealloc, spadd_pattern, spmm_csr_pattern, spmm_csr_prealloc, spmm_csc_prealloc, spmm_csc_dense, spmm_csr_dense, spmm_csc_pattern}; use crate::ops::serial::{spadd_csr_prealloc, spadd_csc_prealloc, spadd_pattern, spmm_csr_pattern, spmm_csr_prealloc, spmm_csc_prealloc, spmm_csc_dense, spmm_csr_dense, spmm_csc_pattern};
use nalgebra::{ClosedAdd, ClosedMul, ClosedSub, ClosedDiv, Scalar, Matrix, Dim, use nalgebra::{ClosedAdd, ClosedMul, ClosedSub, ClosedDiv, Scalar, Matrix, MatrixMN, Dim,
DMatrixSlice, DMatrix, Dynamic}; DMatrixSlice, DMatrixSliceMut, DMatrix, Dynamic, DefaultAllocator, U1};
use nalgebra::allocator::{Allocator};
use nalgebra::constraint::{DimEq, ShapeConstraint};
use num_traits::{Zero, One}; use num_traits::{Zero, One};
use crate::ops::{Op}; use crate::ops::{Op};
use nalgebra::base::storage::Storage; use nalgebra::base::storage::Storage;
@ -265,20 +267,35 @@ macro_rules! impl_spmm_cs_dense {
($matrix_type:ident, $spmm_fn:ident) => { ($matrix_type:ident, $spmm_fn:ident) => {
impl<'a, T, R, C, S> Mul<&'a Matrix<T, R, C, S>> for &'a $matrix_type<T> impl<'a, T, R, C, S> Mul<&'a Matrix<T, R, C, S>> for &'a $matrix_type<T>
where where
&'a Matrix<T, R, C, S>: Into<DMatrixSlice<'a, T>>,
T: Scalar + ClosedMul + ClosedAdd + ClosedSub + ClosedDiv + Neg + Zero + One, T: Scalar + ClosedMul + ClosedAdd + ClosedSub + ClosedDiv + Neg + Zero + One,
R: Dim, R: Dim,
C: Dim, C: Dim,
S: Storage<T, R, C>, S: Storage<T, R, C>,
DefaultAllocator: Allocator<T, Dynamic, C>,
// TODO: Is it possible to simplify these bounds?
ShapeConstraint:
// Bounds so that we can turn MatrixMN<T, Dynamic, C> into a DMatrixSliceMut
DimEq<U1, <<DefaultAllocator as Allocator<T, Dynamic, C>>::Buffer as Storage<T, Dynamic, C>>::RStride>
+ DimEq<C, Dynamic>
+ DimEq<Dynamic, <<DefaultAllocator as Allocator<T, Dynamic, C>>::Buffer as Storage<T, Dynamic, C>>::CStride>
// Bounds so that we can turn &Matrix<T, R, C, S> into a DMatrixSlice
+ DimEq<U1, S::RStride>
+ DimEq<R, Dynamic>
+ DimEq<Dynamic, S::CStride>
{ {
type Output = DMatrix<T>; // We need the column dimension to be generic, so that if RHS is a vector, then
// we also get a vector (and not a matrix)
type Output = MatrixMN<T, Dynamic, C>;
fn mul(self, rhs: &'a Matrix<T, R, C, S>) -> Self::Output { fn mul(self, rhs: &'a Matrix<T, R, C, S>) -> Self::Output {
let rhs = rhs.into(); // let rhs = rhs.into();
let (_, ncols) = rhs.data.shape(); let (_, ncols) = rhs.data.shape();
let nrows = Dynamic::new(self.nrows()); let nrows = Dynamic::new(self.nrows());
let mut result = Matrix::zeros_generic(nrows, ncols); let mut result = MatrixMN::<T, Dynamic, C>::zeros_generic(nrows, ncols);
$spmm_fn(T::zero(), &mut result, T::one(), Op::NoOp(self), Op::NoOp(rhs)); {
// let result: DMatrixSliceMut<_> = (&mut result).into();
$spmm_fn(T::zero(), &mut result, T::one(), Op::NoOp(self), Op::NoOp(rhs));
}
result result
} }
} }