gonum.org/v1/gonum@v0.14.0/lapack/testlapack/dorgql.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 "testing" 10 11 "golang.org/x/exp/rand" 12 13 "gonum.org/v1/gonum/blas" 14 "gonum.org/v1/gonum/blas/blas64" 15 ) 16 17 type Dorgqler interface { 18 Dorgql(m, n, k int, a []float64, lda int, tau, work []float64, lwork int) 19 20 Dlarfger 21 } 22 23 func DorgqlTest(t *testing.T, impl Dorgqler) { 24 const tol = 1e-14 25 26 type Dorg2ler interface { 27 Dorg2l(m, n, k int, a []float64, lda int, tau, work []float64) 28 } 29 dorg2ler, hasDorg2l := impl.(Dorg2ler) 30 31 rnd := rand.New(rand.NewSource(1)) 32 for _, m := range []int{0, 1, 2, 3, 4, 5, 7, 10, 15, 30, 50, 150} { 33 for _, extra := range []int{0, 11} { 34 for _, wl := range []worklen{minimumWork, mediumWork, optimumWork} { 35 var k int 36 if m >= 129 { 37 // For large matrices make sure that k 38 // is large enough to trigger blocked 39 // path. 40 k = 129 + rnd.Intn(m-129+1) 41 } else { 42 k = rnd.Intn(m + 1) 43 } 44 n := k + rnd.Intn(m-k+1) 45 if m == 0 || n == 0 { 46 m = 0 47 n = 0 48 k = 0 49 } 50 51 // Generate k elementary reflectors in the last 52 // k columns of A. 53 a := nanGeneral(m, n, n+extra) 54 tau := make([]float64, k) 55 for l := 0; l < k; l++ { 56 jj := m - k + l 57 v := randomSlice(jj, rnd) 58 _, tau[l] = impl.Dlarfg(len(v)+1, rnd.NormFloat64(), v, 1) 59 j := n - k + l 60 for i := 0; i < jj; i++ { 61 a.Data[i*a.Stride+j] = v[i] 62 } 63 } 64 aCopy := cloneGeneral(a) 65 66 // Compute the full matrix Q by forming the 67 // Householder reflectors explicitly. 68 q := eye(m, m) 69 qCopy := eye(m, m) 70 for l := 0; l < k; l++ { 71 h := eye(m, m) 72 jj := m - k + l 73 j := n - k + l 74 v := blas64.Vector{Data: make([]float64, m), Inc: 1} 75 for i := 0; i < jj; i++ { 76 v.Data[i] = a.Data[i*a.Stride+j] 77 } 78 v.Data[jj] = 1 79 blas64.Ger(-tau[l], v, v, h) 80 copy(qCopy.Data, q.Data) 81 blas64.Gemm(blas.NoTrans, blas.NoTrans, 1, h, qCopy, 0, q) 82 } 83 // View the last n columns of Q as 'want'. 84 want := blas64.General{ 85 Rows: m, 86 Cols: n, 87 Stride: q.Stride, 88 Data: q.Data[m-n:], 89 } 90 91 var lwork int 92 switch wl { 93 case minimumWork: 94 lwork = max(1, n) 95 case mediumWork: 96 work := make([]float64, 1) 97 impl.Dorgql(m, n, k, a.Data, a.Stride, tau, work, -1) 98 lwork = (int(work[0]) + n) / 2 99 lwork = max(1, lwork) 100 case optimumWork: 101 work := make([]float64, 1) 102 impl.Dorgql(m, n, k, a.Data, a.Stride, tau, work, -1) 103 lwork = int(work[0]) 104 } 105 work := make([]float64, lwork) 106 107 // Compute the last n columns of Q by a call to 108 // Dorgql. 109 impl.Dorgql(m, n, k, a.Data, a.Stride, tau, work, len(work)) 110 111 prefix := fmt.Sprintf("Case m=%v,n=%v,k=%v,wl=%v", m, n, k, wl) 112 if !generalOutsideAllNaN(a) { 113 t.Errorf("%v: out-of-range write to A", prefix) 114 } 115 if !equalApproxGeneral(want, a, tol) { 116 t.Errorf("%v: unexpected Q", prefix) 117 } 118 119 // Compute the last n columns of Q by a call to 120 // Dorg2l and check that we get the same result. 121 if !hasDorg2l { 122 continue 123 } 124 dorg2ler.Dorg2l(m, n, k, aCopy.Data, aCopy.Stride, tau, work) 125 if !equalApproxGeneral(aCopy, a, tol) { 126 t.Errorf("%v: mismatch between Dorgql and Dorg2l", prefix) 127 } 128 } 129 } 130 } 131 }