mirror of
https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
Merged eigen/eigen into default
This commit is contained in:
@@ -62,7 +62,7 @@ struct default_packet_traits
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HasRsqrt = 0,
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HasExp = 0,
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HasLog = 0,
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HasLog10 = 0,
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HasLog10 = 0,
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HasPow = 0,
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HasSin = 0,
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@@ -71,9 +71,9 @@ struct default_packet_traits
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HasASin = 0,
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HasACos = 0,
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HasATan = 0,
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HasSinh = 0,
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HasCosh = 0,
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HasTanh = 0,
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HasSinh = 0,
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HasCosh = 0,
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HasTanh = 0,
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HasLGamma = 0,
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HasDiGamma = 0,
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HasZeta = 0,
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@@ -705,12 +705,12 @@ typename internal::enable_if<(!internal::is_integral<T>::value)&&(!NumTraits<T>:
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isfinite_impl(const T& x)
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{
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#ifdef __CUDA_ARCH__
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return (isfinite)(x);
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return (::isfinite)(x);
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#elif EIGEN_USE_STD_FPCLASSIFY
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using std::isfinite;
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return isfinite EIGEN_NOT_A_MACRO (x);
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#else
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return x<NumTraits<T>::highest() && x>NumTraits<T>::lowest();
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return x<=NumTraits<T>::highest() && x>=NumTraits<T>::lowest();
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#endif
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}
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@@ -720,7 +720,7 @@ typename internal::enable_if<(!internal::is_integral<T>::value)&&(!NumTraits<T>:
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isinf_impl(const T& x)
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{
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#ifdef __CUDA_ARCH__
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return (isinf)(x);
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return (::isinf)(x);
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#elif EIGEN_USE_STD_FPCLASSIFY
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using std::isinf;
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return isinf EIGEN_NOT_A_MACRO (x);
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@@ -735,7 +735,7 @@ typename internal::enable_if<(!internal::is_integral<T>::value)&&(!NumTraits<T>:
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isnan_impl(const T& x)
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{
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#ifdef __CUDA_ARCH__
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return (isnan)(x);
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return (::isnan)(x);
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#elif EIGEN_USE_STD_FPCLASSIFY
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using std::isnan;
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return isnan EIGEN_NOT_A_MACRO (x);
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@@ -406,6 +406,9 @@ template<> EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half log(const Eigen::ha
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template<> EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half sqrt(const Eigen::half& a) {
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return Eigen::half(::sqrtf(float(a)));
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}
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template<> EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half pow(const Eigen::half& a, const Eigen::half& b) {
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return Eigen::half(::powf(float(a), float(b)));
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}
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template<> EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half floor(const Eigen::half& a) {
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return Eigen::half(::floorf(float(a)));
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}
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@@ -432,6 +435,9 @@ static EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half logh(const Eigen::half&
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static EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half sqrth(const Eigen::half& a) {
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return Eigen::half(::sqrtf(float(a)));
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}
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static EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half powh(const Eigen::half& a, const Eigen::half& b) {
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return Eigen::half(::powf(float(a), float(b)));
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}
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static EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half floorh(const Eigen::half& a) {
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return Eigen::half(::floorf(float(a)));
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}
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@@ -17,7 +17,8 @@
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// we'll use on the host side (SSE, AVX, ...)
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#if defined(__CUDACC__) && defined(EIGEN_USE_GPU)
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#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 300
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// Most of the following operations require arch >= 5.3
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#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530
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namespace Eigen {
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namespace internal {
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@@ -33,14 +34,7 @@ template<> struct packet_traits<half> : default_packet_traits
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AlignedOnScalar = 1,
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size=2,
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HasHalfPacket = 0,
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HasDiv = 1,
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HasLog = 1,
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HasExp = 1,
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HasSqrt = 1,
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HasRsqrt = 1,
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HasBlend = 0,
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HasDiv = 1
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};
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};
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@@ -74,20 +68,12 @@ template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void pstoreu<half>(half* to, co
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template<>
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EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE half2 ploadt_ro<half2, Aligned>(const half* from) {
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#if __CUDA_ARCH__ >= 320
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return __ldg((const half2*)from);
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#else
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return __halves2half2(*(from+0), *(from+1));
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#endif
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}
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template<>
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EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE half2 ploadt_ro<half2, Unaligned>(const half* from) {
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#if __CUDA_ARCH__ >= 320
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return __halves2half2(__ldg(from+0), __ldg(from+1));
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#else
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return __halves2half2(*(from+0), *(from+1));
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#endif
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}
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template<> EIGEN_DEVICE_FUNC inline half2 pgather<half, half2>(const half* from, Index stride) {
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@@ -120,8 +106,6 @@ ptranspose(PacketBlock<half2,2>& kernel) {
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kernel.packet[1] = __halves2half2(a2, b2);
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}
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// The following operations require arch >= 5.3
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#if __CUDA_ARCH__ >= 530
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template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 plset<half2>(const half& a) {
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return __halves2half2(a, __hadd(a, __float2half(1.0f)));
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}
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@@ -197,7 +181,6 @@ template<> EIGEN_DEVICE_FUNC inline half predux_min<half2>(const half2& a) {
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template<> EIGEN_DEVICE_FUNC inline half predux_mul<half2>(const half2& a) {
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return __hmul(__low2half(a), __high2half(a));
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}
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#endif
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} // end namespace internal
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@@ -71,6 +71,7 @@ struct functor_traits<scalar_cast_op<half, float> >
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#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530
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template <>
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struct type_casting_traits<half, float> {
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@@ -82,22 +83,9 @@ struct type_casting_traits<half, float> {
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};
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template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pcast<half2, float4>(const half2& a, const half2& b) {
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#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 300
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float2 r1 = __half22float2(a);
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float2 r2 = __half22float2(b);
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return make_float4(r1.x, r1.y, r2.x, r2.y);
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#else
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half r1;
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r1.x = a.x & 0xFFFF;
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half r2;
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r2.x = (a.x & 0xFFFF0000) >> 16;
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half r3;
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r3.x = b.x & 0xFFFF;
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half r4;
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r4.x = (b.x & 0xFFFF0000) >> 16;
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return make_float4(static_cast<float>(r1), static_cast<float>(r2),
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static_cast<float>(r3), static_cast<float>(r4));
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#endif
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}
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template <>
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@@ -111,19 +99,10 @@ struct type_casting_traits<float, half> {
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template<> EIGEN_STRONG_INLINE half2 pcast<float4, half2>(const float4& a) {
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// Simply discard the second half of the input
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#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 300
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return __float22half2_rn(make_float2(a.x, a.y));
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#else
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half r1 = static_cast<half>(a.x);
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half r2 = static_cast<half>(a.y);
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half2 r;
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r.x = 0;
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r.x |= r1.x;
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r.x |= (static_cast<unsigned int>(r2.x) << 16);
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return r;
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#endif
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}
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#endif
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#endif
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} // end namespace internal
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