GitHub-Proxy/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-08-11 11:19:02 +08:00
Code Issues Packages Projects Releases Wiki Activity

merge

Browse Source
This commit is contained in:
Gael Guennebaud 2016-09-15 11:22:16 +02:00
commit b33144e4df
10 changed files with 24 additions and 13 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
Eigen/src/Core/Inverse.h
View File

@ -50,7 +50,7 @@ public:
typedef typename internal::ref_selector<Inverse>::type Nested;
typedef typename internal::remove_all<XprType>::type NestedExpression;
explicit Inverse(const XprType &xpr)
explicit EIGEN_DEVICE_FUNC Inverse(const XprType &xpr)
: m_xpr(xpr)
{}

3
Eigen/src/Core/MathFunctions.h
View File

@ -1312,11 +1312,12 @@ template<typename Scalar>
struct scalar_fuzzy_default_impl<Scalar, true, false>
{
typedef typename NumTraits<Scalar>::Real RealScalar;
template<typename OtherScalar>
template<typename OtherScalar> EIGEN_DEVICE_FUNC
static inline bool isMuchSmallerThan(const Scalar& x, const OtherScalar& y, const RealScalar& prec)
{
return numext::abs2(x) <= numext::abs2(y) * prec * prec;
}
EIGEN_DEVICE_FUNC
static inline bool isApprox(const Scalar& x, const Scalar& y, const RealScalar& prec)
{
return numext::abs2(x - y) <= numext::mini(numext::abs2(x), numext::abs2(y)) * prec * prec;

2
Eigen/src/Core/MatrixBase.h
View File

@ -98,7 +98,7 @@ template<typename Derived> class MatrixBase
/** \returns the size of the main diagonal, which is min(rows(),cols()).
* \sa rows(), cols(), SizeAtCompileTime. */
EIGEN_DEVICE_FUNC
inline Index diagonalSize() const { return (std::min)(rows(),cols()); }
inline Index diagonalSize() const { return (numext::mini)(rows(),cols()); }
typedef typename Base::PlainObject PlainObject;

6
Eigen/src/Core/util/DisableStupidWarnings.h
View File

@ -56,7 +56,11 @@
#pragma diag_suppress code_is_unreachable
// Disable the "dynamic initialization in unreachable code" message
#pragma diag_suppress initialization_not_reachable
// Disable the "calling a __host__ function from a __host__ __device__ function is not allowed" messages (yes, there are 4 of them)
// Disable the "invalid error number" message that we get with older versions of nvcc
#pragma diag_suppress 1222
// Disable the "calling a __host__ function from a __host__ __device__ function is not allowed" messages (yes, there are many of them and they seem to change with every version of the compiler)
#pragma diag_suppress 2527
#pragma diag_suppress 2529
#pragma diag_suppress 2651
#pragma diag_suppress 2653
#pragma diag_suppress 2668

4
Eigen/src/Core/util/Macros.h
View File

@ -954,8 +954,8 @@ namespace Eigen {
# define EIGEN_CATCH(X) catch (X)
#else
# ifdef __CUDA_ARCH__
# define EIGEN_THROW_X(X) asm("trap;") return {}
# define EIGEN_THROW asm("trap;"); return {}
# define EIGEN_THROW_X(X) asm("trap;")
# define EIGEN_THROW asm("trap;")
# else
# define EIGEN_THROW_X(X) std::abort()
# define EIGEN_THROW std::abort()

3
Eigen/src/Core/util/Memory.h
View File

@ -275,6 +275,7 @@ template<typename T> EIGEN_DEVICE_FUNC inline T* construct_elements_of_array(T *
destruct_elements_of_array(ptr, i);
EIGEN_THROW;
}
return NULL;
}
/*****************************************************************************
@ -305,6 +306,7 @@ template<typename T> EIGEN_DEVICE_FUNC inline T* aligned_new(size_t size)
aligned_free(result);
EIGEN_THROW;
}
return result;
}
template<typename T, bool Align> EIGEN_DEVICE_FUNC inline T* conditional_aligned_new(size_t size)
@ -320,6 +322,7 @@ template<typename T, bool Align> EIGEN_DEVICE_FUNC inline T* conditional_aligned
conditional_aligned_free<Align>(result);
EIGEN_THROW;
}
return result;
}
/** \internal Deletes objects constructed with aligned_new

8
Eigen/src/LU/FullPivLU.h
View File

@ -156,7 +156,7 @@ template<typename _MatrixType> class FullPivLU
*
* \sa permutationQ()
*/
inline const PermutationPType& permutationP() const
EIGEN_DEVICE_FUNC inline const PermutationPType& permutationP() const
{
eigen_assert(m_isInitialized && "LU is not initialized.");
return m_p;
@ -406,8 +406,8 @@ template<typename _MatrixType> class FullPivLU
MatrixType reconstructedMatrix() const;
inline Index rows() const { return m_lu.rows(); }
inline Index cols() const { return m_lu.cols(); }
EIGEN_DEVICE_FUNC inline Index rows() const { return m_lu.rows(); }
EIGEN_DEVICE_FUNC inline Index cols() const { return m_lu.cols(); }
#ifndef EIGEN_PARSED_BY_DOXYGEN
template<typename RhsType, typename DstType>
@ -879,7 +879,7 @@ struct Assignment<DstXprType, Inverse<FullPivLU<MatrixType> >, internal::assign_
*
* \sa class FullPivLU
*/
template<typename Derived>
template<typename Derived> EIGEN_DEVICE_FUNC
inline const FullPivLU<typename MatrixBase<Derived>::PlainObject>
MatrixBase<Derived>::fullPivLu() const
{

2
Eigen/src/LU/InverseImpl.h
View File

@ -327,7 +327,7 @@ struct Assignment<DstXprType, Inverse<XprType>, internal::assign_op<typename Dst
*
* \sa computeInverseAndDetWithCheck()
*/
template<typename Derived>
template<typename Derived> EIGEN_DEVICE_FUNC
inline const Inverse<Derived> MatrixBase<Derived>::inverse() const
{
EIGEN_STATIC_ASSERT(!NumTraits<Scalar>::IsInteger,THIS_FUNCTION_IS_NOT_FOR_INTEGER_NUMERIC_TYPES)

4
Eigen/src/LU/PartialPivLU.h
View File

@ -584,7 +584,7 @@ struct Assignment<DstXprType, Inverse<PartialPivLU<MatrixType> >, internal::assi
*
* \sa class PartialPivLU
*/
template<typename Derived>
template<typename Derived> EIGEN_DEVICE_FUNC
inline const PartialPivLU<typename MatrixBase<Derived>::PlainObject>
MatrixBase<Derived>::partialPivLu() const
{
@ -599,7 +599,7 @@ MatrixBase<Derived>::partialPivLu() const
*
* \sa class PartialPivLU
*/
template<typename Derived>
template<typename Derived> EIGEN_DEVICE_FUNC
inline const PartialPivLU<typename MatrixBase<Derived>::PlainObject>
MatrixBase<Derived>::lu() const
{

3
unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h
View File

@ -51,12 +51,15 @@ class TensorOpCost {
internal::scalar_cast_op<SrcType, TargetType> >::Cost;
}
EIGEN_DEVICE_FUNC
TensorOpCost() : bytes_loaded_(0), bytes_stored_(0), compute_cycles_(0) {}
EIGEN_DEVICE_FUNC
TensorOpCost(double bytes_loaded, double bytes_stored, double compute_cycles)
: bytes_loaded_(bytes_loaded),
bytes_stored_(bytes_stored),
compute_cycles_(compute_cycles) {}
EIGEN_DEVICE_FUNC
TensorOpCost(double bytes_loaded, double bytes_stored, double compute_cycles,
bool vectorized, double packet_size)
: bytes_loaded_(bytes_loaded),