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eigen/Eigen/src/LU/arch/InverseSize4.h
Rasmus Munk Larsen 54425a39b2 Make vectorized compute_inverse_size4 compile with AVX. 
(cherry picked from commit 85a76a16ea835fcfa7d4c185a338ae2aef9a272a)
2021-04-22 17:25:25 +00:00

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2001 Intel Corporation
// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// 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/.
//
// The algorithm below is a reimplementation of former \src\LU\Inverse_SSE.h using PacketMath.
// inv(M) = M#/|M|, where inv(M), M# and |M| denote the inverse of M,
// adjugate of M and determinant of M respectively. M# is computed block-wise
// using specific formulae. For proof, see:
// https://lxjk.github.io/2017/09/03/Fast-4x4-Matrix-Inverse-with-SSE-SIMD-Explained.html
// Variable names are adopted from \src\LU\Inverse_SSE.h.
//
// The SSE code for the 4x4 float and double matrix inverse in former (deprecated) \src\LU\Inverse_SSE.h
// comes from the following Intel's library:
// http://software.intel.com/en-us/articles/optimized-matrix-library-for-use-with-the-intel-pentiumr-4-processors-sse2-instructions/
//
// Here is the respective copyright and license statement:
//
// Copyright (c) 2001 Intel Corporation.
//
// Permition is granted to use, copy, distribute and prepare derivative works
// of this library for any purpose and without fee, provided, that the above
// copyright notice and this statement appear in all copies.
// Intel makes no representations about the suitability of this software for
// any purpose, and specifically disclaims all warranties.
// See LEGAL.TXT for all the legal information.
//
// TODO: Unify implementations of different data types (i.e. float and double).
#ifndef EIGEN_INVERSE_SIZE_4_H
#define EIGEN_INVERSE_SIZE_4_H
namespace Eigen
{
namespace internal
{
template <typename MatrixType, typename ResultType>
struct compute_inverse_size4<Architecture::Target, float, MatrixType, ResultType>
{
enum
{
MatrixAlignment = traits<MatrixType>::Alignment,
ResultAlignment = traits<ResultType>::Alignment,
StorageOrdersMatch = (MatrixType::Flags & RowMajorBit) == (ResultType::Flags & RowMajorBit)
};
typedef typename conditional<(MatrixType::Flags & LinearAccessBit), MatrixType const &, typename MatrixType::PlainObject>::type ActualMatrixType;
static void run(const MatrixType &mat, ResultType &result)
{
ActualMatrixType matrix(mat);
const float* data = matrix.data();
const Index stride = matrix.innerStride();
Packet4f _L1 = ploadt<Packet4f,MatrixAlignment>(data);
Packet4f _L2 = ploadt<Packet4f,MatrixAlignment>(data + stride*4);
Packet4f _L3 = ploadt<Packet4f,MatrixAlignment>(data + stride*8);
Packet4f _L4 = ploadt<Packet4f,MatrixAlignment>(data + stride*12);
// Four 2x2 sub-matrices of the input matrix
// input = [[A, B],
// [C, D]]
Packet4f A, B, C, D;
if (!StorageOrdersMatch)
{
A = vec4f_unpacklo(_L1, _L2);
B = vec4f_unpacklo(_L3, _L4);
C = vec4f_unpackhi(_L1, _L2);
D = vec4f_unpackhi(_L3, _L4);
}
else
{
A = vec4f_movelh(_L1, _L2);
B = vec4f_movehl(_L2, _L1);
C = vec4f_movelh(_L3, _L4);
D = vec4f_movehl(_L4, _L3);
}
Packet4f AB, DC;
// AB = A# * B, where A# denotes the adjugate of A, and * denotes matrix product.
AB = pmul(vec4f_swizzle2(A, A, 3, 3, 0, 0), B);
AB = psub(AB, pmul(vec4f_swizzle2(A, A, 1, 1, 2, 2), vec4f_swizzle2(B, B, 2, 3, 0, 1)));
// DC = D#*C
DC = pmul(vec4f_swizzle2(D, D, 3, 3, 0, 0), C);
DC = psub(DC, pmul(vec4f_swizzle2(D, D, 1, 1, 2, 2), vec4f_swizzle2(C, C, 2, 3, 0, 1)));
// determinants of the sub-matrices
Packet4f dA, dB, dC, dD;
dA = pmul(vec4f_swizzle2(A, A, 3, 3, 1, 1), A);
dA = psub(dA, vec4f_movehl(dA, dA));
dB = pmul(vec4f_swizzle2(B, B, 3, 3, 1, 1), B);
dB = psub(dB, vec4f_movehl(dB, dB));
dC = pmul(vec4f_swizzle2(C, C, 3, 3, 1, 1), C);
dC = psub(dC, vec4f_movehl(dC, dC));
dD = pmul(vec4f_swizzle2(D, D, 3, 3, 1, 1), D);
dD = psub(dD, vec4f_movehl(dD, dD));
Packet4f d, d1, d2;
d = pmul(vec4f_swizzle2(DC, DC, 0, 2, 1, 3), AB);
d = padd(d, vec4f_movehl(d, d));
d = padd(d, vec4f_swizzle2(d, d, 1, 0, 0, 0));
d1 = pmul(dA, dD);
d2 = pmul(dB, dC);
// determinant of the input matrix, det = |A||D| + |B||C| - trace(A#*B*D#*C)
Packet4f det = vec4f_duplane(psub(padd(d1, d2), d), 0);
// reciprocal of the determinant of the input matrix, rd = 1/det
Packet4f rd = pdiv(pset1<Packet4f>(1.0f), det);
// Four sub-matrices of the inverse
Packet4f iA, iB, iC, iD;
// iD = D*|A| - C*A#*B
iD = pmul(vec4f_swizzle2(C, C, 0, 0, 2, 2), vec4f_movelh(AB, AB));
iD = padd(iD, pmul(vec4f_swizzle2(C, C, 1, 1, 3, 3), vec4f_movehl(AB, AB)));
iD = psub(pmul(D, vec4f_duplane(dA, 0)), iD);
// iA = A*|D| - B*D#*C
iA = pmul(vec4f_swizzle2(B, B, 0, 0, 2, 2), vec4f_movelh(DC, DC));
iA = padd(iA, pmul(vec4f_swizzle2(B, B, 1, 1, 3, 3), vec4f_movehl(DC, DC)));
iA = psub(pmul(A, vec4f_duplane(dD, 0)), iA);
// iB = C*|B| - D * (A#B)# = C*|B| - D*B#*A
iB = pmul(D, vec4f_swizzle2(AB, AB, 3, 0, 3, 0));
iB = psub(iB, pmul(vec4f_swizzle2(D, D, 1, 0, 3, 2), vec4f_swizzle2(AB, AB, 2, 1, 2, 1)));
iB = psub(pmul(C, vec4f_duplane(dB, 0)), iB);
// iC = B*|C| - A * (D#C)# = B*|C| - A*C#*D
iC = pmul(A, vec4f_swizzle2(DC, DC, 3, 0, 3, 0));
iC = psub(iC, pmul(vec4f_swizzle2(A, A, 1, 0, 3, 2), vec4f_swizzle2(DC, DC, 2, 1, 2, 1)));
iC = psub(pmul(B, vec4f_duplane(dC, 0)), iC);
const float sign_mask[4] = {0.0f, -0.0f, -0.0f, 0.0f};
const Packet4f p4f_sign_PNNP = pset<Packet4f>(sign_mask);
rd = pxor(rd, p4f_sign_PNNP);
iA = pmul(iA, rd);
iB = pmul(iB, rd);
iC = pmul(iC, rd);
iD = pmul(iD, rd);
Index res_stride = result.outerStride();
float *res = result.data();
pstoret<float, Packet4f, ResultAlignment>(res + 0, vec4f_swizzle2(iA, iB, 3, 1, 3, 1));
pstoret<float, Packet4f, ResultAlignment>(res + res_stride, vec4f_swizzle2(iA, iB, 2, 0, 2, 0));
pstoret<float, Packet4f, ResultAlignment>(res + 2 * res_stride, vec4f_swizzle2(iC, iD, 3, 1, 3, 1));
pstoret<float, Packet4f, ResultAlignment>(res + 3 * res_stride, vec4f_swizzle2(iC, iD, 2, 0, 2, 0));
}
};
#if !(defined EIGEN_VECTORIZE_NEON && !(EIGEN_ARCH_ARM64 && !EIGEN_APPLE_DOUBLE_NEON_BUG))
// same algorithm as above, except that each operand is split into
// halves for two registers to hold.
template <typename MatrixType, typename ResultType>
struct compute_inverse_size4<Architecture::Target, double, MatrixType, ResultType>
{
enum
{
MatrixAlignment = traits<MatrixType>::Alignment,
ResultAlignment = traits<ResultType>::Alignment,
StorageOrdersMatch = (MatrixType::Flags & RowMajorBit) == (ResultType::Flags & RowMajorBit)
};
typedef typename conditional<(MatrixType::Flags & LinearAccessBit),
MatrixType const &,
typename MatrixType::PlainObject>::type
ActualMatrixType;
static void run(const MatrixType &mat, ResultType &result)
{
ActualMatrixType matrix(mat);
// Four 2x2 sub-matrices of the input matrix, each is further divided into upper and lower
// row e.g. A1, upper row of A, A2, lower row of A
// input = [[A, B], = [[[A1, [B1,
// [C, D]] A2], B2]],
// [[C1, [D1,
// C2], D2]]]
Packet2d A1, A2, B1, B2, C1, C2, D1, D2;
const double* data = matrix.data();
const Index stride = matrix.innerStride();
if (StorageOrdersMatch)
{
A1 = ploadt<Packet2d,MatrixAlignment>(data + stride*0);
B1 = ploadt<Packet2d,MatrixAlignment>(data + stride*2);
A2 = ploadt<Packet2d,MatrixAlignment>(data + stride*4);
B2 = ploadt<Packet2d,MatrixAlignment>(data + stride*6);
C1 = ploadt<Packet2d,MatrixAlignment>(data + stride*8);
D1 = ploadt<Packet2d,MatrixAlignment>(data + stride*10);
C2 = ploadt<Packet2d,MatrixAlignment>(data + stride*12);
D2 = ploadt<Packet2d,MatrixAlignment>(data + stride*14);
}
else
{
Packet2d temp;
A1 = ploadt<Packet2d,MatrixAlignment>(data + stride*0);
C1 = ploadt<Packet2d,MatrixAlignment>(data + stride*2);
A2 = ploadt<Packet2d,MatrixAlignment>(data + stride*4);
C2 = ploadt<Packet2d,MatrixAlignment>(data + stride*6);
temp = A1;
A1 = vec2d_unpacklo(A1, A2);
A2 = vec2d_unpackhi(temp, A2);
temp = C1;
C1 = vec2d_unpacklo(C1, C2);
C2 = vec2d_unpackhi(temp, C2);
B1 = ploadt<Packet2d,MatrixAlignment>(data + stride*8);
D1 = ploadt<Packet2d,MatrixAlignment>(data + stride*10);
B2 = ploadt<Packet2d,MatrixAlignment>(data + stride*12);
D2 = ploadt<Packet2d,MatrixAlignment>(data + stride*14);
temp = B1;
B1 = vec2d_unpacklo(B1, B2);
B2 = vec2d_unpackhi(temp, B2);
temp = D1;
D1 = vec2d_unpacklo(D1, D2);
D2 = vec2d_unpackhi(temp, D2);
}
// determinants of the sub-matrices
Packet2d dA, dB, dC, dD;
dA = vec2d_swizzle2(A2, A2, 1);
dA = pmul(A1, dA);
dA = psub(dA, vec2d_duplane(dA, 1));
dB = vec2d_swizzle2(B2, B2, 1);
dB = pmul(B1, dB);
dB = psub(dB, vec2d_duplane(dB, 1));
dC = vec2d_swizzle2(C2, C2, 1);
dC = pmul(C1, dC);
dC = psub(dC, vec2d_duplane(dC, 1));
dD = vec2d_swizzle2(D2, D2, 1);
dD = pmul(D1, dD);
dD = psub(dD, vec2d_duplane(dD, 1));
Packet2d DC1, DC2, AB1, AB2;
// AB = A# * B, where A# denotes the adjugate of A, and * denotes matrix product.
AB1 = pmul(B1, vec2d_duplane(A2, 1));
AB2 = pmul(B2, vec2d_duplane(A1, 0));
AB1 = psub(AB1, pmul(B2, vec2d_duplane(A1, 1)));
AB2 = psub(AB2, pmul(B1, vec2d_duplane(A2, 0)));
// DC = D#*C
DC1 = pmul(C1, vec2d_duplane(D2, 1));
DC2 = pmul(C2, vec2d_duplane(D1, 0));
DC1 = psub(DC1, pmul(C2, vec2d_duplane(D1, 1)));
DC2 = psub(DC2, pmul(C1, vec2d_duplane(D2, 0)));
Packet2d d1, d2;
// determinant of the input matrix, det = |A||D| + |B||C| - trace(A#*B*D#*C)
Packet2d det;
// reciprocal of the determinant of the input matrix, rd = 1/det
Packet2d rd;
d1 = pmul(AB1, vec2d_swizzle2(DC1, DC2, 0));
d2 = pmul(AB2, vec2d_swizzle2(DC1, DC2, 3));
rd = padd(d1, d2);
rd = padd(rd, vec2d_duplane(rd, 1));
d1 = pmul(dA, dD);
d2 = pmul(dB, dC);
det = padd(d1, d2);
det = psub(det, rd);
det = vec2d_duplane(det, 0);
rd = pdiv(pset1<Packet2d>(1.0), det);
// rows of four sub-matrices of the inverse
Packet2d iA1, iA2, iB1, iB2, iC1, iC2, iD1, iD2;
// iD = D*|A| - C*A#*B
iD1 = pmul(AB1, vec2d_duplane(C1, 0));
iD2 = pmul(AB1, vec2d_duplane(C2, 0));
iD1 = padd(iD1, pmul(AB2, vec2d_duplane(C1, 1)));
iD2 = padd(iD2, pmul(AB2, vec2d_duplane(C2, 1)));
dA = vec2d_duplane(dA, 0);
iD1 = psub(pmul(D1, dA), iD1);
iD2 = psub(pmul(D2, dA), iD2);
// iA = A*|D| - B*D#*C
iA1 = pmul(DC1, vec2d_duplane(B1, 0));
iA2 = pmul(DC1, vec2d_duplane(B2, 0));
iA1 = padd(iA1, pmul(DC2, vec2d_duplane(B1, 1)));
iA2 = padd(iA2, pmul(DC2, vec2d_duplane(B2, 1)));
dD = vec2d_duplane(dD, 0);
iA1 = psub(pmul(A1, dD), iA1);
iA2 = psub(pmul(A2, dD), iA2);
// iB = C*|B| - D * (A#B)# = C*|B| - D*B#*A
iB1 = pmul(D1, vec2d_swizzle2(AB2, AB1, 1));
iB2 = pmul(D2, vec2d_swizzle2(AB2, AB1, 1));
iB1 = psub(iB1, pmul(vec2d_swizzle2(D1, D1, 1), vec2d_swizzle2(AB2, AB1, 2)));
iB2 = psub(iB2, pmul(vec2d_swizzle2(D2, D2, 1), vec2d_swizzle2(AB2, AB1, 2)));
dB = vec2d_duplane(dB, 0);
iB1 = psub(pmul(C1, dB), iB1);
iB2 = psub(pmul(C2, dB), iB2);
// iC = B*|C| - A * (D#C)# = B*|C| - A*C#*D
iC1 = pmul(A1, vec2d_swizzle2(DC2, DC1, 1));
iC2 = pmul(A2, vec2d_swizzle2(DC2, DC1, 1));
iC1 = psub(iC1, pmul(vec2d_swizzle2(A1, A1, 1), vec2d_swizzle2(DC2, DC1, 2)));
iC2 = psub(iC2, pmul(vec2d_swizzle2(A2, A2, 1), vec2d_swizzle2(DC2, DC1, 2)));
dC = vec2d_duplane(dC, 0);
iC1 = psub(pmul(B1, dC), iC1);
iC2 = psub(pmul(B2, dC), iC2);
const double sign_mask1[2] = {0.0, -0.0};
const double sign_mask2[2] = {-0.0, 0.0};
const Packet2d sign_PN = pset<Packet2d>(sign_mask1);
const Packet2d sign_NP = pset<Packet2d>(sign_mask2);
d1 = pxor(rd, sign_PN);
d2 = pxor(rd, sign_NP);
Index res_stride = result.outerStride();
double *res = result.data();
pstoret<double, Packet2d, ResultAlignment>(res + 0, pmul(vec2d_swizzle2(iA2, iA1, 3), d1));
pstoret<double, Packet2d, ResultAlignment>(res + res_stride, pmul(vec2d_swizzle2(iA2, iA1, 0), d2));
pstoret<double, Packet2d, ResultAlignment>(res + 2, pmul(vec2d_swizzle2(iB2, iB1, 3), d1));
pstoret<double, Packet2d, ResultAlignment>(res + res_stride + 2, pmul(vec2d_swizzle2(iB2, iB1, 0), d2));
pstoret<double, Packet2d, ResultAlignment>(res + 2 * res_stride, pmul(vec2d_swizzle2(iC2, iC1, 3), d1));
pstoret<double, Packet2d, ResultAlignment>(res + 3 * res_stride, pmul(vec2d_swizzle2(iC2, iC1, 0), d2));
pstoret<double, Packet2d, ResultAlignment>(res + 2 * res_stride + 2, pmul(vec2d_swizzle2(iD2, iD1, 3), d1));
pstoret<double, Packet2d, ResultAlignment>(res + 3 * res_stride + 2, pmul(vec2d_swizzle2(iD2, iD1, 0), d2));
}
};
#endif
} // namespace internal
} // namespace Eigen
#endif
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