Add support for NVCC5: most of the Core and part of LU are callable from CUDA code.

Still a lot to do.
This commit is contained in:
Gael Guennebaud
2013-02-07 19:06:14 +01:00
parent e4ec63aee7
commit 5adcc6c7b4
36 changed files with 550 additions and 137 deletions

View File

@@ -62,18 +62,21 @@ template<typename MatrixType> class Transpose
typedef typename TransposeImpl<MatrixType,typename internal::traits<MatrixType>::StorageKind>::Base Base;
EIGEN_GENERIC_PUBLIC_INTERFACE(Transpose)
EIGEN_DEVICE_FUNC
inline Transpose(MatrixType& a_matrix) : m_matrix(a_matrix) {}
EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Transpose)
inline Index rows() const { return m_matrix.cols(); }
inline Index cols() const { return m_matrix.rows(); }
EIGEN_DEVICE_FUNC inline Index rows() const { return m_matrix.cols(); }
EIGEN_DEVICE_FUNC inline Index cols() const { return m_matrix.rows(); }
/** \returns the nested expression */
EIGEN_DEVICE_FUNC
const typename internal::remove_all<typename MatrixType::Nested>::type&
nestedExpression() const { return m_matrix; }
/** \returns the nested expression */
EIGEN_DEVICE_FUNC
typename internal::remove_all<typename MatrixType::Nested>::type&
nestedExpression() { return m_matrix.const_cast_derived(); }
@@ -105,8 +108,8 @@ template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
typedef typename internal::TransposeImpl_base<MatrixType>::type Base;
EIGEN_DENSE_PUBLIC_INTERFACE(Transpose<MatrixType>)
inline Index innerStride() const { return derived().nestedExpression().innerStride(); }
inline Index outerStride() const { return derived().nestedExpression().outerStride(); }
EIGEN_DEVICE_FUNC inline Index innerStride() const { return derived().nestedExpression().innerStride(); }
EIGEN_DEVICE_FUNC inline Index outerStride() const { return derived().nestedExpression().outerStride(); }
typedef typename internal::conditional<
internal::is_lvalue<MatrixType>::value,
@@ -117,33 +120,39 @@ template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
inline ScalarWithConstIfNotLvalue* data() { return derived().nestedExpression().data(); }
inline const Scalar* data() const { return derived().nestedExpression().data(); }
EIGEN_DEVICE_FUNC
inline ScalarWithConstIfNotLvalue& coeffRef(Index rowId, Index colId)
{
EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
return derived().nestedExpression().const_cast_derived().coeffRef(colId, rowId);
}
EIGEN_DEVICE_FUNC
inline ScalarWithConstIfNotLvalue& coeffRef(Index index)
{
EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
return derived().nestedExpression().const_cast_derived().coeffRef(index);
}
EIGEN_DEVICE_FUNC
inline const Scalar& coeffRef(Index rowId, Index colId) const
{
return derived().nestedExpression().coeffRef(colId, rowId);
}
EIGEN_DEVICE_FUNC
inline const Scalar& coeffRef(Index index) const
{
return derived().nestedExpression().coeffRef(index);
}
EIGEN_DEVICE_FUNC
inline CoeffReturnType coeff(Index rowId, Index colId) const
{
return derived().nestedExpression().coeff(colId, rowId);
}
EIGEN_DEVICE_FUNC
inline CoeffReturnType coeff(Index index) const
{
return derived().nestedExpression().coeff(index);