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153 lines
4.2 KiB
C++
153 lines
4.2 KiB
C++
/// @ref core
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/// @file glm/detail/func_exponential.inl
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#include "../vector_relational.hpp"
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#include "_vectorize.hpp"
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#include <limits>
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#include <cmath>
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#include <cassert>
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namespace glm{
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namespace detail
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{
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# if GLM_HAS_CXX11_STL
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using std::log2;
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# else
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template<typename genType>
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genType log2(genType Value)
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{
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return std::log(Value) * static_cast<genType>(1.4426950408889634073599246810019);
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}
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# endif
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template<length_t L, typename T, qualifier Q, bool isFloat, bool Aligned>
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struct compute_log2
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{
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GLM_FUNC_QUALIFIER static vec<L, T, Q> call(vec<L, T, Q> const& v)
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{
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GLM_STATIC_ASSERT(std::numeric_limits<T>::is_iec559, "'log2' only accept floating-point inputs. Include <glm/gtc/integer.hpp> for integer inputs.");
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return detail::functor1<vec, L, T, T, Q>::call(log2, v);
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}
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};
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template<length_t L, typename T, qualifier Q, bool Aligned>
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struct compute_sqrt
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{
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GLM_FUNC_QUALIFIER static vec<L, T, Q> call(vec<L, T, Q> const& x)
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{
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return detail::functor1<vec, L, T, T, Q>::call(std::sqrt, x);
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}
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};
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template<length_t L, typename T, qualifier Q, bool Aligned>
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struct compute_inversesqrt
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{
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GLM_FUNC_QUALIFIER static vec<L, T, Q> call(vec<L, T, Q> const& x)
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{
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return static_cast<T>(1) / sqrt(x);
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}
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};
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template<length_t L, bool Aligned>
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struct compute_inversesqrt<L, float, lowp, Aligned>
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{
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GLM_FUNC_QUALIFIER static vec<L, float, lowp> call(vec<L, float, lowp> const& x)
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{
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vec<L, float, lowp> tmp(x);
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vec<L, float, lowp> xhalf(tmp * 0.5f);
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vec<L, uint, lowp>* p = reinterpret_cast<vec<L, uint, lowp>*>(const_cast<vec<L, float, lowp>*>(&x));
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vec<L, uint, lowp> i = vec<L, uint, lowp>(0x5f375a86) - (*p >> vec<L, uint, lowp>(1));
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vec<L, float, lowp>* ptmp = reinterpret_cast<vec<L, float, lowp>*>(&i);
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tmp = *ptmp;
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tmp = tmp * (1.5f - xhalf * tmp * tmp);
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return tmp;
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}
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};
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}//namespace detail
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// pow
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using std::pow;
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> pow(vec<L, T, Q> const& base, vec<L, T, Q> const& exponent)
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{
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return detail::functor2<vec, L, T, Q>::call(pow, base, exponent);
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}
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// exp
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using std::exp;
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> exp(vec<L, T, Q> const& x)
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{
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return detail::functor1<vec, L, T, T, Q>::call(exp, x);
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}
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// log
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using std::log;
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> log(vec<L, T, Q> const& x)
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{
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return detail::functor1<vec, L, T, T, Q>::call(log, x);
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}
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# if GLM_HAS_CXX11_STL
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using std::exp2;
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# else
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//exp2, ln2 = 0.69314718055994530941723212145818f
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template<typename genType>
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GLM_FUNC_QUALIFIER genType exp2(genType x)
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{
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GLM_STATIC_ASSERT(std::numeric_limits<genType>::is_iec559, "'exp2' only accept floating-point inputs");
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return std::exp(static_cast<genType>(0.69314718055994530941723212145818) * x);
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}
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# endif
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> exp2(vec<L, T, Q> const& x)
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{
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return detail::functor1<vec, L, T, T, Q>::call(exp2, x);
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}
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// log2, ln2 = 0.69314718055994530941723212145818f
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template<typename genType>
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GLM_FUNC_QUALIFIER genType log2(genType x)
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{
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return log2(vec<1, genType>(x)).x;
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}
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> log2(vec<L, T, Q> const& x)
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{
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return detail::compute_log2<L, T, Q, std::numeric_limits<T>::is_iec559, detail::is_aligned<Q>::value>::call(x);
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}
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// sqrt
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using std::sqrt;
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> sqrt(vec<L, T, Q> const& x)
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{
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GLM_STATIC_ASSERT(std::numeric_limits<T>::is_iec559, "'sqrt' only accept floating-point inputs");
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return detail::compute_sqrt<L, T, Q, detail::is_aligned<Q>::value>::call(x);
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}
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// inversesqrt
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template<typename genType>
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GLM_FUNC_QUALIFIER genType inversesqrt(genType x)
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{
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return static_cast<genType>(1) / sqrt(x);
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}
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> inversesqrt(vec<L, T, Q> const& x)
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{
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GLM_STATIC_ASSERT(std::numeric_limits<T>::is_iec559, "'inversesqrt' only accept floating-point inputs");
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return detail::compute_inversesqrt<L, T, Q, detail::is_aligned<Q>::value>::call(x);
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}
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}//namespace glm
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#if GLM_CONFIG_SIMD == GLM_ENABLE
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# include "func_exponential_simd.inl"
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#endif
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