github.com/gopherd/gonum@v0.0.4/lapack/testlapack/dgehrd.go (about) 1 // Copyright ©2016 The Gonum Authors. All rights reserved. 2 // Use of this source code is governed by a BSD-style 3 // license that can be found in the LICENSE file. 4 5 package testlapack 6 7 import ( 8 "fmt" 9 "math" 10 "testing" 11 12 "math/rand" 13 14 "github.com/gopherd/gonum/blas" 15 "github.com/gopherd/gonum/blas/blas64" 16 ) 17 18 type Dgehrder interface { 19 Dgehrd(n, ilo, ihi int, a []float64, lda int, tau, work []float64, lwork int) 20 21 Dorgqr(m, n, k int, a []float64, lda int, tau, work []float64, lwork int) 22 } 23 24 func DgehrdTest(t *testing.T, impl Dgehrder) { 25 rnd := rand.New(rand.NewSource(1)) 26 27 // Randomized tests for small matrix sizes that will most likely 28 // use the unblocked algorithm. 29 for _, n := range []int{1, 2, 3, 4, 5, 10, 34} { 30 for _, extra := range []int{0, 13} { 31 for _, optwork := range []bool{true, false} { 32 for cas := 0; cas < 10; cas++ { 33 ilo := rnd.Intn(n) 34 ihi := rnd.Intn(n) 35 if ilo > ihi { 36 ilo, ihi = ihi, ilo 37 } 38 testDgehrd(t, impl, n, ilo, ihi, extra, optwork, rnd) 39 } 40 } 41 } 42 } 43 44 // These are selected tests for larger matrix sizes to test the blocked 45 // algorithm. Use sizes around several powers of two because that is 46 // where the blocked path will most likely start to be taken. For 47 // example, at present the blocked algorithm is used for sizes larger 48 // than 129. 49 for _, test := range []struct { 50 n, ilo, ihi int 51 }{ 52 {0, 0, -1}, 53 54 {68, 0, 63}, 55 {68, 0, 64}, 56 {68, 0, 65}, 57 {68, 0, 66}, 58 {68, 0, 67}, 59 60 {132, 2, 129}, 61 {132, 1, 129}, // Size = 129, unblocked. 62 {132, 0, 129}, // Size = 130, blocked. 63 {132, 1, 130}, 64 {132, 0, 130}, 65 {132, 1, 131}, 66 {132, 0, 131}, 67 68 {260, 2, 257}, 69 {260, 1, 257}, 70 {260, 0, 257}, 71 {260, 0, 258}, 72 {260, 0, 259}, 73 } { 74 for _, extra := range []int{0, 13} { 75 for _, optwork := range []bool{true, false} { 76 testDgehrd(t, impl, test.n, test.ilo, test.ihi, extra, optwork, rnd) 77 } 78 } 79 } 80 } 81 82 func testDgehrd(t *testing.T, impl Dgehrder, n, ilo, ihi, extra int, optwork bool, rnd *rand.Rand) { 83 const tol = 1e-13 84 85 a := randomGeneral(n, n, n+extra, rnd) 86 aCopy := a 87 aCopy.Data = make([]float64, len(a.Data)) 88 copy(aCopy.Data, a.Data) 89 90 var tau []float64 91 if n > 1 { 92 tau = nanSlice(n - 1) 93 } 94 95 var work []float64 96 if optwork { 97 work = nanSlice(1) 98 impl.Dgehrd(n, ilo, ihi, a.Data, a.Stride, tau, work, -1) 99 work = nanSlice(int(work[0])) 100 } else { 101 work = nanSlice(max(1, n)) 102 } 103 104 impl.Dgehrd(n, ilo, ihi, a.Data, a.Stride, tau, work, len(work)) 105 106 if n == 0 { 107 // Just make sure there is no panic. 108 return 109 } 110 111 prefix := fmt.Sprintf("Case n=%v, ilo=%v, ihi=%v, extra=%v", n, ilo, ihi, extra) 112 113 // Check any invalid modifications of a. 114 if !generalOutsideAllNaN(a) { 115 t.Errorf("%v: out-of-range write to A\n%v", prefix, a.Data) 116 } 117 for i := ilo; i <= ihi; i++ { 118 for j := 0; j < min(ilo, i); j++ { 119 if a.Data[i*a.Stride+j] != aCopy.Data[i*aCopy.Stride+j] { 120 t.Errorf("%v: unexpected modification of A[%v,%v]", prefix, i, j) 121 } 122 } 123 } 124 for i := ihi + 1; i < n; i++ { 125 for j := 0; j < i; j++ { 126 if a.Data[i*a.Stride+j] != aCopy.Data[i*aCopy.Stride+j] { 127 t.Errorf("%v: unexpected modification of A[%v,%v]", prefix, i, j) 128 } 129 } 130 } 131 for i := 0; i <= ilo; i++ { 132 for j := i; j < ilo+1; j++ { 133 if a.Data[i*a.Stride+j] != aCopy.Data[i*aCopy.Stride+j] { 134 t.Errorf("%v: unexpected modification at A[%v,%v]", prefix, i, j) 135 } 136 } 137 for j := ihi + 1; j < n; j++ { 138 if a.Data[i*a.Stride+j] != aCopy.Data[i*aCopy.Stride+j] { 139 t.Errorf("%v: unexpected modification at A[%v,%v]", prefix, i, j) 140 } 141 } 142 } 143 for i := ihi + 1; i < n; i++ { 144 for j := i; j < n; j++ { 145 if a.Data[i*a.Stride+j] != aCopy.Data[i*aCopy.Stride+j] { 146 t.Errorf("%v: unexpected modification at A[%v,%v]", prefix, i, j) 147 } 148 } 149 } 150 151 // Check that tau has been assigned properly. 152 for i, v := range tau { 153 if math.IsNaN(v) { 154 t.Errorf("%v: unexpected NaN at tau[%v]", prefix, i) 155 } 156 } 157 158 // Extract Q and check that it is orthogonal. 159 q := eye(n, n) 160 if ilo != ihi { 161 for i := ilo + 2; i <= ihi; i++ { 162 for j := ilo + 1; j < ihi; j++ { 163 q.Data[i*q.Stride+j] = a.Data[i*a.Stride+j-1] 164 } 165 } 166 nh := ihi - ilo 167 impl.Dorgqr(nh, nh, nh, q.Data[(ilo+1)*q.Stride+ilo+1:], q.Stride, tau[ilo:ihi], work, len(work)) 168 } 169 if resid := residualOrthogonal(q, false); resid > tol { 170 t.Errorf("%v: Q is not orthogonal; resid=%v, want<=%v", prefix, resid, tol) 171 } 172 173 // Construct Qᵀ * AOrig * Q and check that it is upper Hessenberg. 174 aq := blas64.General{ 175 Rows: n, 176 Cols: n, 177 Stride: n, 178 Data: make([]float64, n*n), 179 } 180 blas64.Gemm(blas.NoTrans, blas.NoTrans, 1, aCopy, q, 0, aq) 181 qaq := blas64.General{ 182 Rows: n, 183 Cols: n, 184 Stride: n, 185 Data: make([]float64, n*n), 186 } 187 blas64.Gemm(blas.Trans, blas.NoTrans, 1, q, aq, 0, qaq) 188 for i := 0; i <= ilo; i++ { 189 for j := ilo + 1; j <= ihi; j++ { 190 qaqij := qaq.Data[i*qaq.Stride+j] 191 diff := qaqij - a.Data[i*a.Stride+j] 192 if math.Abs(diff) > tol { 193 t.Errorf("%v: Qᵀ*AOrig*Q and A are not equal, diff at [%v,%v]=%v", prefix, i, j, diff) 194 } 195 } 196 } 197 for i := ilo + 1; i <= ihi; i++ { 198 for j := ilo; j < n; j++ { 199 qaqij := qaq.Data[i*qaq.Stride+j] 200 if j < i-1 { 201 if math.Abs(qaqij) > tol { 202 t.Errorf("%v: Qᵀ*AOrig*Q is not upper Hessenberg, [%v,%v]=%v", prefix, i, j, qaqij) 203 } 204 continue 205 } 206 diff := qaqij - a.Data[i*a.Stride+j] 207 if math.Abs(diff) > tol { 208 t.Errorf("%v: Qᵀ*AOrig*Q and A are not equal, diff at [%v,%v]=%v", prefix, i, j, diff) 209 } 210 } 211 } 212 }