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* extended the cache friendly products to support C = alpha * A * M and C += alpha * A * B

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* this allows to optimize xpr like C -= lazy_product, still have to catch "scalar_product_of_lazy_product"
* started to support conjugate in cache friendly products (very useful to evaluate A * B.adjoint() without
  evaluating B.adjoint() into a temporary
* compilation fix
This commit is contained in:
Gael Guennebaud
2009-07-07 11:39:19 +02:00
parent 544888e342
commit 92a35c93b2
8 changed files with 204 additions and 118 deletions
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14
test/product.h
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@@ -121,6 +121,19 @@ template<typename MatrixType> void product(const MatrixType& m)
vcres = vc2;
vcres += (m1.transpose() * v1).lazy();
VERIFY_IS_APPROX(vcres, vc2 + m1.transpose() * v1);
// test optimized operator-= path
res = square;
res -= (m1 * m2.transpose()).lazy();
VERIFY_IS_APPROX(res, square - (m1 * m2.transpose()));
if (NumTraits<Scalar>::HasFloatingPoint && std::min(rows,cols)>1)
{
VERIFY(areNotApprox(res,square - m2 * m1.transpose()));
}
vcres = vc2;
vcres -= (m1.transpose() * v1).lazy();
VERIFY_IS_APPROX(vcres, vc2 - m1.transpose() * v1);
tm1 = m1;
VERIFY_IS_APPROX(tm1.transpose() * v1, m1.transpose() * v1);
VERIFY_IS_APPROX(v1.transpose() * tm1, v1.transpose() * m1);
@@ -142,4 +155,3 @@ template<typename MatrixType> void product(const MatrixType& m)
VERIFY(areNotApprox(res2,square2 + m2.transpose() * m1));
}
}