GRK_Room/dependencies/glm/detail/func_exponential.inl

147 lines
4.7 KiB
Plaintext
Raw Permalink Normal View History

2023-01-14 12:00:59 +01:00
/// @ref core
/// @file glm/detail/func_exponential.inl
#include "func_vector_relational.hpp"
#include "_vectorize.hpp"
#include <limits>
#include <cmath>
#include <cassert>
namespace glm{
namespace detail
{
# if GLM_HAS_CXX11_STL
using std::log2;
# else
template <typename genType>
genType log2(genType Value)
{
return std::log(Value) * static_cast<genType>(1.4426950408889634073599246810019);
}
# endif
template <typename T, precision P, template <class, precision> class vecType, bool isFloat, bool Aligned>
struct compute_log2
{
GLM_FUNC_QUALIFIER static vecType<T, P> call(vecType<T, P> const & vec)
{
return detail::functor1<T, T, P, vecType>::call(log2, vec);
}
};
template <template <class, precision> class vecType, typename T, precision P, bool Aligned>
struct compute_sqrt
{
GLM_FUNC_QUALIFIER static vecType<T, P> call(vecType<T, P> const & x)
{
return detail::functor1<T, T, P, vecType>::call(std::sqrt, x);
}
};
template <template <class, precision> class vecType, typename T, precision P, bool Aligned>
struct compute_inversesqrt
{
GLM_FUNC_QUALIFIER static vecType<T, P> call(vecType<T, P> const & x)
{
return static_cast<T>(1) / sqrt(x);
}
};
template <template <class, precision> class vecType, bool Aligned>
struct compute_inversesqrt<vecType, float, lowp, Aligned>
{
GLM_FUNC_QUALIFIER static vecType<float, lowp> call(vecType<float, lowp> const & x)
{
vecType<float, lowp> tmp(x);
vecType<float, lowp> xhalf(tmp * 0.5f);
vecType<uint, lowp>* p = reinterpret_cast<vecType<uint, lowp>*>(const_cast<vecType<float, lowp>*>(&x));
vecType<uint, lowp> i = vecType<uint, lowp>(0x5f375a86) - (*p >> vecType<uint, lowp>(1));
vecType<float, lowp>* ptmp = reinterpret_cast<vecType<float, lowp>*>(&i);
tmp = *ptmp;
tmp = tmp * (1.5f - xhalf * tmp * tmp);
return tmp;
}
};
}//namespace detail
// pow
using std::pow;
template <typename T, precision P, template <typename, precision> class vecType>
GLM_FUNC_QUALIFIER vecType<T, P> pow(vecType<T, P> const & base, vecType<T, P> const & exponent)
{
return detail::functor2<T, P, vecType>::call(pow, base, exponent);
}
// exp
using std::exp;
template <typename T, precision P, template <typename, precision> class vecType>
GLM_FUNC_QUALIFIER vecType<T, P> exp(vecType<T, P> const & x)
{
return detail::functor1<T, T, P, vecType>::call(exp, x);
}
// log
using std::log;
template <typename T, precision P, template <typename, precision> class vecType>
GLM_FUNC_QUALIFIER vecType<T, P> log(vecType<T, P> const & x)
{
return detail::functor1<T, T, P, vecType>::call(log, x);
}
//exp2, ln2 = 0.69314718055994530941723212145818f
template <typename genType>
GLM_FUNC_QUALIFIER genType exp2(genType x)
{
GLM_STATIC_ASSERT(std::numeric_limits<genType>::is_iec559, "'exp2' only accept floating-point inputs");
return std::exp(static_cast<genType>(0.69314718055994530941723212145818) * x);
}
template <typename T, precision P, template <typename, precision> class vecType>
GLM_FUNC_QUALIFIER vecType<T, P> exp2(vecType<T, P> const & x)
{
return detail::functor1<T, T, P, vecType>::call(exp2, x);
}
// log2, ln2 = 0.69314718055994530941723212145818f
template <typename genType>
GLM_FUNC_QUALIFIER genType log2(genType x)
{
return log2(tvec1<genType>(x)).x;
}
template <typename T, precision P, template <typename, precision> class vecType>
GLM_FUNC_QUALIFIER vecType<T, P> log2(vecType<T, P> const & x)
{
return detail::compute_log2<T, P, vecType, std::numeric_limits<T>::is_iec559, detail::is_aligned<P>::value>::call(x);
}
// sqrt
using std::sqrt;
template <typename T, precision P, template <typename, precision> class vecType>
GLM_FUNC_QUALIFIER vecType<T, P> sqrt(vecType<T, P> const & x)
{
GLM_STATIC_ASSERT(std::numeric_limits<T>::is_iec559, "'sqrt' only accept floating-point inputs");
return detail::compute_sqrt<vecType, T, P, detail::is_aligned<P>::value>::call(x);
}
// inversesqrt
template <typename genType>
GLM_FUNC_QUALIFIER genType inversesqrt(genType x)
{
return static_cast<genType>(1) / sqrt(x);
}
template <typename T, precision P, template <typename, precision> class vecType>
GLM_FUNC_QUALIFIER vecType<T, P> inversesqrt(vecType<T, P> const & x)
{
GLM_STATIC_ASSERT(std::numeric_limits<T>::is_iec559, "'inversesqrt' only accept floating-point inputs");
return detail::compute_inversesqrt<vecType, T, P, detail::is_aligned<P>::value>::call(x);
}
}//namespace glm
#if GLM_ARCH != GLM_ARCH_PURE && GLM_HAS_UNRESTRICTED_UNIONS
# include "func_exponential_simd.inl"
#endif