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Extend CUDA support to matrix inversion and selfadjointeigensolver

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This commit is contained in:
Andrea Bocci
2018-06-11 18:33:24 +02:00
parent 0537123953
commit f7124b3e46
27 changed files with 200 additions and 74 deletions
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6
Eigen/src/Core/NumTraits.h
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@@ -21,12 +21,14 @@ template< typename T,
bool is_integer = NumTraits<T>::IsInteger>
struct default_digits10_impl
{
EIGEN_DEVICE_FUNC
static int run() { return std::numeric_limits<T>::digits10; }
};
template<typename T>
struct default_digits10_impl<T,false,false> // Floating point
{
EIGEN_DEVICE_FUNC
static int run() {
using std::log10;
using std::ceil;
@@ -38,6 +40,7 @@ struct default_digits10_impl<T,false,false> // Floating point
template<typename T>
struct default_digits10_impl<T,false,true> // Integer
{
EIGEN_DEVICE_FUNC
static int run() { return 0; }
};
@@ -49,12 +52,14 @@ template< typename T,
bool is_integer = NumTraits<T>::IsInteger>
struct default_digits_impl
{
EIGEN_DEVICE_FUNC
static int run() { return std::numeric_limits<T>::digits; }
};
template<typename T>
struct default_digits_impl<T,false,false> // Floating point
{
EIGEN_DEVICE_FUNC
static int run() {
using std::log;
using std::ceil;
@@ -66,6 +71,7 @@ struct default_digits_impl<T,false,false> // Floating point
template<typename T>
struct default_digits_impl<T,false,true> // Integer
{
EIGEN_DEVICE_FUNC
static int run() { return 0; }
};