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bug #986: add support for coefficient-based product with 0 depth.

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This commit is contained in:
Gael Guennebaud
2015-04-01 13:21:47 +02:00
parent 2461531e5a
commit 2e3353634f
2 changed files with 80 additions and 12 deletions
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64
test/product_extra.cpp
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@@ -109,8 +109,67 @@ void mat_mat_scalar_scalar_product()
double det = 6.0, wt = 0.5;
VERIFY_IS_APPROX(dNdxy.transpose()*dNdxy*det*wt, det*wt*dNdxy.transpose()*dNdxy);
}
template <typename MatrixType>
void zero_sized_objects(const MatrixType& m)
{
typedef typename MatrixType::Scalar Scalar;
const int PacketSize = internal::packet_traits<Scalar>::size;
const int PacketSize1 = PacketSize>1 ? PacketSize-1 : 1;
DenseIndex rows = m.rows();
DenseIndex cols = m.cols();
void zero_sized_objects()
{
MatrixType res, a(rows,0), b(0,cols);
VERIFY_IS_APPROX( (res=a*b), MatrixType::Zero(rows,cols) );
VERIFY_IS_APPROX( (res=a*a.transpose()), MatrixType::Zero(rows,rows) );
VERIFY_IS_APPROX( (res=b.transpose()*b), MatrixType::Zero(cols,cols) );
VERIFY_IS_APPROX( (res=b.transpose()*a.transpose()), MatrixType::Zero(cols,rows) );
}
{
MatrixType res, a(rows,cols), b(cols,0);
res = a*b;
VERIFY(res.rows()==rows && res.cols()==0);
b.resize(0,rows);
res = b*a;
VERIFY(res.rows()==0 && res.cols()==cols);
}
{
Matrix<Scalar,PacketSize,0> a;
Matrix<Scalar,0,1> b;
Matrix<Scalar,PacketSize,1> res;
VERIFY_IS_APPROX( (res=a*b), MatrixType::Zero(PacketSize,1) );
VERIFY_IS_APPROX( (res=a.lazyProduct(b)), MatrixType::Zero(PacketSize,1) );
}
{
Matrix<Scalar,PacketSize1,0> a;
Matrix<Scalar,0,1> b;
Matrix<Scalar,PacketSize1,1> res;
VERIFY_IS_APPROX( (res=a*b), MatrixType::Zero(PacketSize1,1) );
VERIFY_IS_APPROX( (res=a.lazyProduct(b)), MatrixType::Zero(PacketSize1,1) );
}
{
Matrix<Scalar,PacketSize,Dynamic> a(PacketSize,0);
Matrix<Scalar,Dynamic,1> b(0,1);
Matrix<Scalar,PacketSize,1> res;
VERIFY_IS_APPROX( (res=a*b), MatrixType::Zero(PacketSize,1) );
VERIFY_IS_APPROX( (res=a.lazyProduct(b)), MatrixType::Zero(PacketSize,1) );
}
{
Matrix<Scalar,PacketSize1,Dynamic> a(PacketSize1,0);
Matrix<Scalar,Dynamic,1> b(0,1);
Matrix<Scalar,PacketSize1,1> res;
VERIFY_IS_APPROX( (res=a*b), MatrixType::Zero(PacketSize1,1) );
VERIFY_IS_APPROX( (res=a.lazyProduct(b)), MatrixType::Zero(PacketSize1,1) );
}
}
void bug_127()
{
// Bug 127
//
@@ -171,7 +230,8 @@ void test_product_extra()
CALL_SUBTEST_2( mat_mat_scalar_scalar_product() );
CALL_SUBTEST_3( product_extra(MatrixXcf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2), internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2))) );
CALL_SUBTEST_4( product_extra(MatrixXcd(internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2), internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2))) );
CALL_SUBTEST_1( zero_sized_objects(MatrixXf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
}
CALL_SUBTEST_5( zero_sized_objects() );
CALL_SUBTEST_5( bug_127() );
CALL_SUBTEST_6( unaligned_objects() );
}