`ops.rs` works too now!
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@ -6,7 +6,7 @@
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//! that return an owned matrix that would otherwise result from setting a
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//! parameter to zero in the other methods.
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use crate::{OMatrix, SimdComplexField};
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use crate::SimdComplexField;
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#[cfg(feature = "std")]
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use matrixmultiply;
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use num::{One, Zero};
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@ -923,7 +923,7 @@ where
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csc as isize,
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);
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return ;
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return;
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}
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}
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}
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@ -647,7 +647,7 @@ where
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SB: Storage<T, R2, C1>,
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SA: ContiguousStorageMut<T, R1, C1> + Clone,
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ShapeConstraint: AreMultipliable<R1, C1, R2, C1>,
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DefaultAllocator: InnerAllocator<T, R1, C1, Buffer = SA>,
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DefaultAllocator: Allocator<T, R1, C1> + InnerAllocator<T, R1, C1, Buffer = SA>,
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{
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#[inline]
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fn mul_assign(&mut self, rhs: Matrix<T, R2, C1, SB>) {
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@ -663,7 +663,7 @@ where
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SA: ContiguousStorageMut<T, R1, C1> + Clone,
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ShapeConstraint: AreMultipliable<R1, C1, R2, C1>,
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// TODO: this is too restrictive. See comments for the non-ref version.
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DefaultAllocator: InnerAllocator<T, R1, C1, Buffer = SA>,
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DefaultAllocator: Allocator<T, R1, C1> + InnerAllocator<T, R1, C1, Buffer = SA>,
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{
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#[inline]
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fn mul_assign(&mut self, rhs: &'b Matrix<T, R2, C1, SB>) {
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@ -818,9 +818,7 @@ where
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let (nrows1, ncols1) = self.data.shape();
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let (nrows2, ncols2) = rhs.data.shape();
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let mut res = unsafe {
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crate::unimplemented_or_uninitialized_generic!(nrows1.mul(nrows2), ncols1.mul(ncols2))
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};
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let mut res = Matrix::new_uninitialized_generic(nrows1.mul(nrows2), ncols1.mul(ncols2));
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{
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let mut data_res = res.data.ptr_mut();
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@ -832,8 +830,10 @@ where
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let coeff = self.get_unchecked((i1, j1)).inlined_clone();
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for i2 in 0..nrows2.value() {
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*data_res = coeff.inlined_clone()
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* rhs.get_unchecked((i2, j2)).inlined_clone();
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*data_res = MaybeUninit::new(
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coeff.inlined_clone()
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* rhs.get_unchecked((i2, j2)).inlined_clone(),
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);
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data_res = data_res.offset(1);
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}
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}
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@ -842,7 +842,7 @@ where
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}
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}
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res
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unsafe { res.assume_init() }
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}
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}
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