// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2008 Konstantinos Margaritis // // This Source Code Form is subject to the terms of the Mozilla // Public License v. 2.0. If a copy of the MPL was not distributed // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. #ifndef EIGEN_PACKET_MATH_ALTIVEC_H #define EIGEN_PACKET_MATH_ALTIVEC_H namespace Eigen { namespace internal { #ifndef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD #define EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD 4 #endif #ifndef EIGEN_HAS_FUSE_CJMADD #define EIGEN_HAS_FUSE_CJMADD 1 #endif // NOTE Altivec has 32 registers, but Eigen only accepts a value of 8 or 16 #ifndef EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS #define EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS 16 #endif typedef __vector float Packet4f; typedef __vector int Packet4i; typedef __vector unsigned int Packet4ui; typedef __vector __bool int Packet4bi; typedef __vector short int Packet8i; typedef __vector unsigned char Packet16uc; // We don't want to write the same code all the time, but we need to reuse the constants // and it doesn't really work to declare them global, so we define macros instead #define _EIGEN_DECLARE_CONST_FAST_Packet4f(NAME,X) \ Packet4f p4f_##NAME = (Packet4f) vec_splat_s32(X) #define _EIGEN_DECLARE_CONST_FAST_Packet4i(NAME,X) \ Packet4i p4i_##NAME = vec_splat_s32(X) #define _EIGEN_DECLARE_CONST_Packet4f(NAME,X) \ Packet4f p4f_##NAME = pset1(X) #define _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(NAME,X) \ Packet4f p4f_##NAME = vreinterpretq_f32_u32(pset1(X)) #define _EIGEN_DECLARE_CONST_Packet4i(NAME,X) \ Packet4i p4i_##NAME = pset1(X) #define DST_CHAN 1 #define DST_CTRL(size, count, stride) (((size) << 24) | ((count) << 16) | (stride)) // Define global static constants: static Packet4f p4f_COUNTDOWN = { 3.0, 2.0, 1.0, 0.0 }; static Packet4i p4i_COUNTDOWN = { 3, 2, 1, 0 }; static Packet16uc p16uc_REVERSE = {12,13,14,15, 8,9,10,11, 4,5,6,7, 0,1,2,3}; static Packet16uc p16uc_FORWARD = vec_lvsl(0, (float*)0); static Packet16uc p16uc_DUPLICATE = {0,1,2,3, 0,1,2,3, 4,5,6,7, 4,5,6,7}; static _EIGEN_DECLARE_CONST_FAST_Packet4f(ZERO, 0); static _EIGEN_DECLARE_CONST_FAST_Packet4i(ZERO, 0); static _EIGEN_DECLARE_CONST_FAST_Packet4i(ONE,1); static _EIGEN_DECLARE_CONST_FAST_Packet4i(MINUS16,-16); static _EIGEN_DECLARE_CONST_FAST_Packet4i(MINUS1,-1); static Packet4f p4f_ONE = vec_ctf(p4i_ONE, 0); static Packet4f p4f_ZERO_ = (Packet4f) vec_sl((Packet4ui)p4i_MINUS1, (Packet4ui)p4i_MINUS1); template<> struct packet_traits : default_packet_traits { typedef Packet4f type; enum { Vectorizable = 1, AlignedOnScalar = 1, size=4, // FIXME check the Has* HasSin = 0, HasCos = 0, HasLog = 0, HasExp = 0, HasSqrt = 0 }; }; template<> struct packet_traits : default_packet_traits { typedef Packet4i type; enum { // FIXME check the Has* Vectorizable = 1, AlignedOnScalar = 1, size=4 }; }; template<> struct unpacket_traits { typedef float type; enum {size=4}; }; template<> struct unpacket_traits { typedef int type; enum {size=4}; }; /* inline std::ostream & operator <<(std::ostream & s, const Packet4f & v) { union { Packet4f v; float n[4]; } vt; vt.v = v; s << vt.n[0] << ", " << vt.n[1] << ", " << vt.n[2] << ", " << vt.n[3]; return s; } inline std::ostream & operator <<(std::ostream & s, const Packet4i & v) { union { Packet4i v; int n[4]; } vt; vt.v = v; s << vt.n[0] << ", " << vt.n[1] << ", " << vt.n[2] << ", " << vt.n[3]; return s; } inline std::ostream & operator <<(std::ostream & s, const Packet4ui & v) { union { Packet4ui v; unsigned int n[4]; } vt; vt.v = v; s << vt.n[0] << ", " << vt.n[1] << ", " << vt.n[2] << ", " << vt.n[3]; return s; } inline std::ostream & operator <<(std::ostream & s, const Packetbi & v) { union { Packet4bi v; unsigned int n[4]; } vt; vt.v = v; s << vt.n[0] << ", " << vt.n[1] << ", " << vt.n[2] << ", " << vt.n[3]; return s; } */ template<> EIGEN_STRONG_INLINE Packet4f pset1(const float& from) { // Taken from http://developer.apple.com/hardwaredrivers/ve/alignment.html float EIGEN_ALIGN16 af[4]; af[0] = from; Packet4f vc = vec_ld(0, af); vc = vec_splat(vc, 0); return vc; } template<> EIGEN_STRONG_INLINE Packet4i pset1(const int& from) { int EIGEN_ALIGN16 ai[4]; ai[0] = from; Packet4i vc = vec_ld(0, ai); vc = vec_splat(vc, 0); return vc; } template<> EIGEN_STRONG_INLINE Packet4f plset(const float& a) { return vec_add(pset1(a), p4f_COUNTDOWN); } template<> EIGEN_STRONG_INLINE Packet4i plset(const int& a) { return vec_add(pset1(a), p4i_COUNTDOWN); } template<> EIGEN_STRONG_INLINE Packet4f padd(const Packet4f& a, const Packet4f& b) { return vec_add(a,b); } template<> EIGEN_STRONG_INLINE Packet4i padd(const Packet4i& a, const Packet4i& b) { return vec_add(a,b); } template<> EIGEN_STRONG_INLINE Packet4f psub(const Packet4f& a, const Packet4f& b) { return vec_sub(a,b); } template<> EIGEN_STRONG_INLINE Packet4i psub(const Packet4i& a, const Packet4i& b) { return vec_sub(a,b); } template<> EIGEN_STRONG_INLINE Packet4f pnegate(const Packet4f& a) { return psub(p4f_ZERO, a); } template<> EIGEN_STRONG_INLINE Packet4i pnegate(const Packet4i& a) { return psub(p4i_ZERO, a); } template<> EIGEN_STRONG_INLINE Packet4f pconj(const Packet4f& a) { return a; } template<> EIGEN_STRONG_INLINE Packet4i pconj(const Packet4i& a) { return a; } template<> EIGEN_STRONG_INLINE Packet4f pmul(const Packet4f& a, const Packet4f& b) { return vec_madd(a,b,p4f_ZERO); } /* Commented out: it's actually slower than processing it scalar * template<> EIGEN_STRONG_INLINE Packet4i pmul(const Packet4i& a, const Packet4i& b) { // Detailed in: http://freevec.org/content/32bit_signed_integer_multiplication_altivec //Set up constants, variables Packet4i a1, b1, bswap, low_prod, high_prod, prod, prod_, v1sel; // Get the absolute values a1 = vec_abs(a); b1 = vec_abs(b); // Get the signs using xor Packet4bi sgn = (Packet4bi) vec_cmplt(vec_xor(a, b), p4i_ZERO); // Do the multiplication for the asbolute values. bswap = (Packet4i) vec_rl((Packet4ui) b1, (Packet4ui) p4i_MINUS16 ); low_prod = vec_mulo((Packet8i) a1, (Packet8i)b1); high_prod = vec_msum((Packet8i) a1, (Packet8i) bswap, p4i_ZERO); high_prod = (Packet4i) vec_sl((Packet4ui) high_prod, (Packet4ui) p4i_MINUS16); prod = vec_add( low_prod, high_prod ); // NOR the product and select only the negative elements according to the sign mask prod_ = vec_nor(prod, prod); prod_ = vec_sel(p4i_ZERO, prod_, sgn); // Add 1 to the result to get the negative numbers v1sel = vec_sel(p4i_ZERO, p4i_ONE, sgn); prod_ = vec_add(prod_, v1sel); // Merge the results back to the final vector. prod = vec_sel(prod, prod_, sgn); return prod; } */ template<> EIGEN_STRONG_INLINE Packet4f pdiv(const Packet4f& a, const Packet4f& b) { Packet4f t, y_0, y_1, res; // Altivec does not offer a divide instruction, we have to do a reciprocal approximation y_0 = vec_re(b); // Do one Newton-Raphson iteration to get the needed accuracy t = vec_nmsub(y_0, b, p4f_ONE); y_1 = vec_madd(y_0, t, y_0); res = vec_madd(a, y_1, p4f_ZERO); return res; } template<> EIGEN_STRONG_INLINE Packet4i pdiv(const Packet4i& /*a*/, const Packet4i& /*b*/) { eigen_assert(false && "packet integer division are not supported by AltiVec"); return pset1(0); } // for some weird raisons, it has to be overloaded for packet of integers template<> EIGEN_STRONG_INLINE Packet4f pmadd(const Packet4f& a, const Packet4f& b, const Packet4f& c) { return vec_madd(a, b, c); } template<> EIGEN_STRONG_INLINE Packet4i pmadd(const Packet4i& a, const Packet4i& b, const Packet4i& c) { return padd(pmul(a,b), c); } template<> EIGEN_STRONG_INLINE Packet4f pmin(const Packet4f& a, const Packet4f& b) { return vec_min(a, b); } template<> EIGEN_STRONG_INLINE Packet4i pmin(const Packet4i& a, const Packet4i& b) { return vec_min(a, b); } template<> EIGEN_STRONG_INLINE Packet4f pmax(const Packet4f& a, const Packet4f& b) { return vec_max(a, b); } template<> EIGEN_STRONG_INLINE Packet4i pmax(const Packet4i& a, const Packet4i& b) { return vec_max(a, b); } // Logical Operations are not supported for float, so we have to reinterpret casts using NEON intrinsics template<> EIGEN_STRONG_INLINE Packet4f pand(const Packet4f& a, const Packet4f& b) { return vec_and(a, b); } template<> EIGEN_STRONG_INLINE Packet4i pand(const Packet4i& a, const Packet4i& b) { return vec_and(a, b); } template<> EIGEN_STRONG_INLINE Packet4f por(const Packet4f& a, const Packet4f& b) { return vec_or(a, b); } template<> EIGEN_STRONG_INLINE Packet4i por(const Packet4i& a, const Packet4i& b) { return vec_or(a, b); } template<> EIGEN_STRONG_INLINE Packet4f pxor(const Packet4f& a, const Packet4f& b) { return vec_xor(a, b); } template<> EIGEN_STRONG_INLINE Packet4i pxor(const Packet4i& a, const Packet4i& b) { return vec_xor(a, b); } template<> EIGEN_STRONG_INLINE Packet4f pandnot(const Packet4f& a, const Packet4f& b) { return vec_and(a, vec_nor(b, b)); } template<> EIGEN_STRONG_INLINE Packet4i pandnot(const Packet4i& a, const Packet4i& b) { return vec_and(a, vec_nor(b, b)); } template<> EIGEN_STRONG_INLINE Packet4f pload(const float* from) { EIGEN_DEBUG_ALIGNED_LOAD return vec_ld(0, from); } template<> EIGEN_STRONG_INLINE Packet4i pload(const int* from) { EIGEN_DEBUG_ALIGNED_LOAD return vec_ld(0, from); } template<> EIGEN_STRONG_INLINE Packet4f ploadu(const float* from) { EIGEN_DEBUG_ALIGNED_LOAD // Taken from http://developer.apple.com/hardwaredrivers/ve/alignment.html Packet16uc MSQ, LSQ; Packet16uc mask; MSQ = vec_ld(0, (unsigned char *)from); // most significant quadword LSQ = vec_ld(15, (unsigned char *)from); // least significant quadword mask = vec_lvsl(0, from); // create the permute mask return (Packet4f) vec_perm(MSQ, LSQ, mask); // align the data } template<> EIGEN_STRONG_INLINE Packet4i ploadu(const int* from) { EIGEN_DEBUG_ALIGNED_LOAD // Taken from http://developer.apple.com/hardwaredrivers/ve/alignment.html Packet16uc MSQ, LSQ; Packet16uc mask; MSQ = vec_ld(0, (unsigned char *)from); // most significant quadword LSQ = vec_ld(15, (unsigned char *)from); // least significant quadword mask = vec_lvsl(0, from); // create the permute mask return (Packet4i) vec_perm(MSQ, LSQ, mask); // align the data } template<> EIGEN_STRONG_INLINE Packet4f ploaddup(const float* from) { Packet4f p; if((ptrdiff_t(&from) % 16) == 0) p = pload(from); else p = ploadu(from); return vec_perm(p, p, p16uc_DUPLICATE); } template<> EIGEN_STRONG_INLINE Packet4i ploaddup(const int* from) { Packet4i p; if((ptrdiff_t(&from) % 16) == 0) p = pload(from); else p = ploadu(from); return vec_perm(p, p, p16uc_DUPLICATE); } template<> EIGEN_STRONG_INLINE void pstore(float* to, const Packet4f& from) { EIGEN_DEBUG_ALIGNED_STORE vec_st(from, 0, to); } template<> EIGEN_STRONG_INLINE void pstore(int* to, const Packet4i& from) { EIGEN_DEBUG_ALIGNED_STORE vec_st(from, 0, to); } template<> EIGEN_STRONG_INLINE void pstoreu(float* to, const Packet4f& from) { EIGEN_DEBUG_UNALIGNED_STORE // Taken from http://developer.apple.com/hardwaredrivers/ve/alignment.html // Warning: not thread safe! Packet16uc MSQ, LSQ, edges; Packet16uc edgeAlign, align; MSQ = vec_ld(0, (unsigned char *)to); // most significant quadword LSQ = vec_ld(15, (unsigned char *)to); // least significant quadword edgeAlign = vec_lvsl(0, to); // permute map to extract edges edges=vec_perm(LSQ,MSQ,edgeAlign); // extract the edges align = vec_lvsr( 0, to ); // permute map to misalign data MSQ = vec_perm(edges,(Packet16uc)from,align); // misalign the data (MSQ) LSQ = vec_perm((Packet16uc)from,edges,align); // misalign the data (LSQ) vec_st( LSQ, 15, (unsigned char *)to ); // Store the LSQ part first vec_st( MSQ, 0, (unsigned char *)to ); // Store the MSQ part } template<> EIGEN_STRONG_INLINE void pstoreu(int* to, const Packet4i& from) { EIGEN_DEBUG_UNALIGNED_STORE // Taken from http://developer.apple.com/hardwaredrivers/ve/alignment.html // Warning: not thread safe! Packet16uc MSQ, LSQ, edges; Packet16uc edgeAlign, align; MSQ = vec_ld(0, (unsigned char *)to); // most significant quadword LSQ = vec_ld(15, (unsigned char *)to); // least significant quadword edgeAlign = vec_lvsl(0, to); // permute map to extract edges edges=vec_perm(LSQ, MSQ, edgeAlign); // extract the edges align = vec_lvsr( 0, to ); // permute map to misalign data MSQ = vec_perm(edges, (Packet16uc) from, align); // misalign the data (MSQ) LSQ = vec_perm((Packet16uc) from, edges, align); // misalign the data (LSQ) vec_st( LSQ, 15, (unsigned char *)to ); // Store the LSQ part first vec_st( MSQ, 0, (unsigned char *)to ); // Store the MSQ part } template<> EIGEN_STRONG_INLINE void prefetch(const float* addr) { vec_dstt(addr, DST_CTRL(2,2,32), DST_CHAN); } template<> EIGEN_STRONG_INLINE void prefetch(const int* addr) { vec_dstt(addr, DST_CTRL(2,2,32), DST_CHAN); } template<> EIGEN_STRONG_INLINE float pfirst(const Packet4f& a) { float EIGEN_ALIGN16 x[4]; vec_st(a, 0, x); return x[0]; } template<> EIGEN_STRONG_INLINE int pfirst(const Packet4i& a) { int EIGEN_ALIGN16 x[4]; vec_st(a, 0, x); return x[0]; } template<> EIGEN_STRONG_INLINE Packet4f preverse(const Packet4f& a) { return (Packet4f)vec_perm((Packet16uc)a,(Packet16uc)a, p16uc_REVERSE); } template<> EIGEN_STRONG_INLINE Packet4i preverse(const Packet4i& a) { return (Packet4i)vec_perm((Packet16uc)a,(Packet16uc)a, p16uc_REVERSE); } template<> EIGEN_STRONG_INLINE Packet4f pabs(const Packet4f& a) { return vec_abs(a); } template<> EIGEN_STRONG_INLINE Packet4i pabs(const Packet4i& a) { return vec_abs(a); } template<> EIGEN_STRONG_INLINE float predux(const Packet4f& a) { Packet4f b, sum; b = (Packet4f) vec_sld(a, a, 8); sum = vec_add(a, b); b = (Packet4f) vec_sld(sum, sum, 4); sum = vec_add(sum, b); return pfirst(sum); } template<> EIGEN_STRONG_INLINE Packet4f preduxp(const Packet4f* vecs) { Packet4f v[4], sum[4]; // It's easier and faster to transpose then add as columns // Check: http://www.freevec.org/function/matrix_4x4_transpose_floats for explanation // Do the transpose, first set of moves v[0] = vec_mergeh(vecs[0], vecs[2]); v[1] = vec_mergel(vecs[0], vecs[2]); v[2] = vec_mergeh(vecs[1], vecs[3]); v[3] = vec_mergel(vecs[1], vecs[3]); // Get the resulting vectors sum[0] = vec_mergeh(v[0], v[2]); sum[1] = vec_mergel(v[0], v[2]); sum[2] = vec_mergeh(v[1], v[3]); sum[3] = vec_mergel(v[1], v[3]); // Now do the summation: // Lines 0+1 sum[0] = vec_add(sum[0], sum[1]); // Lines 2+3 sum[1] = vec_add(sum[2], sum[3]); // Add the results sum[0] = vec_add(sum[0], sum[1]); return sum[0]; } template<> EIGEN_STRONG_INLINE int predux(const Packet4i& a) { Packet4i sum; sum = vec_sums(a, p4i_ZERO); sum = vec_sld(sum, p4i_ZERO, 12); return pfirst(sum); } template<> EIGEN_STRONG_INLINE Packet4i preduxp(const Packet4i* vecs) { Packet4i v[4], sum[4]; // It's easier and faster to transpose then add as columns // Check: http://www.freevec.org/function/matrix_4x4_transpose_floats for explanation // Do the transpose, first set of moves v[0] = vec_mergeh(vecs[0], vecs[2]); v[1] = vec_mergel(vecs[0], vecs[2]); v[2] = vec_mergeh(vecs[1], vecs[3]); v[3] = vec_mergel(vecs[1], vecs[3]); // Get the resulting vectors sum[0] = vec_mergeh(v[0], v[2]); sum[1] = vec_mergel(v[0], v[2]); sum[2] = vec_mergeh(v[1], v[3]); sum[3] = vec_mergel(v[1], v[3]); // Now do the summation: // Lines 0+1 sum[0] = vec_add(sum[0], sum[1]); // Lines 2+3 sum[1] = vec_add(sum[2], sum[3]); // Add the results sum[0] = vec_add(sum[0], sum[1]); return sum[0]; } // Other reduction functions: // mul template<> EIGEN_STRONG_INLINE float predux_mul(const Packet4f& a) { Packet4f prod; prod = pmul(a, (Packet4f)vec_sld(a, a, 8)); return pfirst(pmul(prod, (Packet4f)vec_sld(prod, prod, 4))); } template<> EIGEN_STRONG_INLINE int predux_mul(const Packet4i& a) { EIGEN_ALIGN16 int aux[4]; pstore(aux, a); return aux[0] * aux[1] * aux[2] * aux[3]; } // min template<> EIGEN_STRONG_INLINE float predux_min(const Packet4f& a) { Packet4f b, res; b = vec_min(a, vec_sld(a, a, 8)); res = vec_min(b, vec_sld(b, b, 4)); return pfirst(res); } template<> EIGEN_STRONG_INLINE int predux_min(const Packet4i& a) { Packet4i b, res; b = vec_min(a, vec_sld(a, a, 8)); res = vec_min(b, vec_sld(b, b, 4)); return pfirst(res); } // max template<> EIGEN_STRONG_INLINE float predux_max(const Packet4f& a) { Packet4f b, res; b = vec_max(a, vec_sld(a, a, 8)); res = vec_max(b, vec_sld(b, b, 4)); return pfirst(res); } template<> EIGEN_STRONG_INLINE int predux_max(const Packet4i& a) { Packet4i b, res; b = vec_max(a, vec_sld(a, a, 8)); res = vec_max(b, vec_sld(b, b, 4)); return pfirst(res); } template struct palign_impl { static EIGEN_STRONG_INLINE void run(Packet4f& first, const Packet4f& second) { if (Offset!=0) first = vec_sld(first, second, Offset*4); } }; template struct palign_impl { static EIGEN_STRONG_INLINE void run(Packet4i& first, const Packet4i& second) { if (Offset!=0) first = vec_sld(first, second, Offset*4); } }; } // end namespace internal } // end namespace Eigen #endif // EIGEN_PACKET_MATH_ALTIVEC_H