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-rw-r--r--Eigen/src/Core/MathFunctions.h58
1 files changed, 44 insertions, 14 deletions
diff --git a/Eigen/src/Core/MathFunctions.h b/Eigen/src/Core/MathFunctions.h
index 9934e5601..bf3044b96 100644
--- a/Eigen/src/Core/MathFunctions.h
+++ b/Eigen/src/Core/MathFunctions.h
@@ -459,30 +459,33 @@ struct arg_retval
/****************************************************************************
* Implementation of log1p *
****************************************************************************/
-template<typename Scalar, bool isComplex = NumTraits<Scalar>::IsComplex >
-struct log1p_impl
-{
- static EIGEN_DEVICE_FUNC inline Scalar run(const Scalar& x)
- {
+
+namespace std_fallback {
+ // fallback log1p implementation in case there is no log1p(Scalar) function in namespace of Scalar,
+ // or that there is no suitable std::log1p function available
+ template<typename Scalar>
+ EIGEN_DEVICE_FUNC inline Scalar log1p(const Scalar& x) {
EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar)
typedef typename NumTraits<Scalar>::Real RealScalar;
EIGEN_USING_STD_MATH(log);
Scalar x1p = RealScalar(1) + x;
return ( x1p == Scalar(1) ) ? x : x * ( log(x1p) / (x1p - RealScalar(1)) );
}
-};
+}
-#if EIGEN_HAS_CXX11_MATH && !defined(__CUDACC__)
template<typename Scalar>
-struct log1p_impl<Scalar, false> {
+struct log1p_impl {
static inline Scalar run(const Scalar& x)
{
EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar)
+ #if EIGEN_HAS_CXX11_MATH
using std::log1p;
+ #endif
+ using std_fallback::log1p;
return log1p(x);
}
};
-#endif
+
template<typename Scalar>
struct log1p_retval
@@ -615,16 +618,18 @@ struct random_default_impl<Scalar, false, true>
typedef typename conditional<NumTraits<Scalar>::IsSigned,std::ptrdiff_t,std::size_t>::type ScalarX;
if(y<x)
return x;
+ // the following difference might overflow on a 32 bits system,
+ // but since y>=x the result converted to an unsigned long is still correct.
std::size_t range = ScalarX(y)-ScalarX(x);
std::size_t offset = 0;
// rejection sampling
- std::size_t divisor = (range+RAND_MAX-1)/(range+1);
- std::size_t multiplier = (range+RAND_MAX-1)/std::size_t(RAND_MAX);
-
+ std::size_t divisor = 1;
+ std::size_t multiplier = 1;
+ if(range<RAND_MAX) divisor = (std::size_t(RAND_MAX)+1)/(range+1);
+ else multiplier = 1 + range/(std::size_t(RAND_MAX)+1);
do {
- offset = ( (std::size_t(std::rand()) * multiplier) / divisor );
+ offset = (std::size_t(std::rand()) * multiplier) / divisor;
} while (offset > range);
-
return Scalar(ScalarX(x) + offset);
}
@@ -785,6 +790,8 @@ template<typename T> EIGEN_DEVICE_FUNC bool isfinite_impl(const std::complex<T>&
template<typename T> EIGEN_DEVICE_FUNC bool isnan_impl(const std::complex<T>& x);
template<typename T> EIGEN_DEVICE_FUNC bool isinf_impl(const std::complex<T>& x);
+template<typename T> T generic_fast_tanh_float(const T& a_x);
+
} // end namespace internal
/****************************************************************************
@@ -921,6 +928,14 @@ inline EIGEN_MATHFUNC_RETVAL(log1p, Scalar) log1p(const Scalar& x)
return EIGEN_MATHFUNC_IMPL(log1p, Scalar)::run(x);
}
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float log1p(const float &x) { return ::log1pf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double log1p(const double &x) { return ::log1p(x); }
+#endif
+
template<typename ScalarX,typename ScalarY>
EIGEN_DEVICE_FUNC
inline typename internal::pow_impl<ScalarX,ScalarY>::result_type pow(const ScalarX& x, const ScalarY& y)
@@ -1031,6 +1046,16 @@ float abs(const float &x) { return ::fabsf(x); }
template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
double abs(const double &x) { return ::fabs(x); }
+
+template <> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float abs(const std::complex<float>& x) {
+ return ::hypotf(real(x), imag(x));
+}
+
+template <> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double abs(const std::complex<double>& x) {
+ return ::hypot(real(x), imag(x));
+}
#endif
template<typename T>
@@ -1176,6 +1201,11 @@ T tanh(const T &x) {
return tanh(x);
}
+#if (!defined(__CUDACC__)) && EIGEN_FAST_MATH
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float tanh(float x) { return internal::generic_fast_tanh_float(x); }
+#endif
+
#ifdef __CUDACC__
template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
float tanh(const float &x) { return ::tanhf(x); }