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[bytom/vapor.git] / vendor / gonum.org / v1 / gonum / lapack / testlapack / dlarfb.go
1 // Copyright ©2015 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         "testing"
9
10         "golang.org/x/exp/rand"
11
12         "gonum.org/v1/gonum/blas"
13         "gonum.org/v1/gonum/blas/blas64"
14         "gonum.org/v1/gonum/floats"
15         "gonum.org/v1/gonum/lapack"
16 )
17
18 type Dlarfber interface {
19         Dlarfter
20         Dlarfb(side blas.Side, trans blas.Transpose, direct lapack.Direct,
21                 store lapack.StoreV, m, n, k int, v []float64, ldv int, t []float64, ldt int,
22                 c []float64, ldc int, work []float64, ldwork int)
23 }
24
25 func DlarfbTest(t *testing.T, impl Dlarfber) {
26         rnd := rand.New(rand.NewSource(1))
27         for _, store := range []lapack.StoreV{lapack.ColumnWise, lapack.RowWise} {
28                 for _, direct := range []lapack.Direct{lapack.Forward, lapack.Backward} {
29                         for _, side := range []blas.Side{blas.Left, blas.Right} {
30                                 for _, trans := range []blas.Transpose{blas.Trans, blas.NoTrans} {
31                                         for cas, test := range []struct {
32                                                 ma, na, cdim, lda, ldt, ldc int
33                                         }{
34                                                 {6, 6, 6, 0, 0, 0},
35                                                 {6, 8, 10, 0, 0, 0},
36                                                 {6, 10, 8, 0, 0, 0},
37                                                 {8, 6, 10, 0, 0, 0},
38                                                 {8, 10, 6, 0, 0, 0},
39                                                 {10, 6, 8, 0, 0, 0},
40                                                 {10, 8, 6, 0, 0, 0},
41                                                 {6, 6, 6, 12, 15, 30},
42                                                 {6, 8, 10, 12, 15, 30},
43                                                 {6, 10, 8, 12, 15, 30},
44                                                 {8, 6, 10, 12, 15, 30},
45                                                 {8, 10, 6, 12, 15, 30},
46                                                 {10, 6, 8, 12, 15, 30},
47                                                 {10, 8, 6, 12, 15, 30},
48                                                 {6, 6, 6, 15, 12, 30},
49                                                 {6, 8, 10, 15, 12, 30},
50                                                 {6, 10, 8, 15, 12, 30},
51                                                 {8, 6, 10, 15, 12, 30},
52                                                 {8, 10, 6, 15, 12, 30},
53                                                 {10, 6, 8, 15, 12, 30},
54                                                 {10, 8, 6, 15, 12, 30},
55                                         } {
56                                                 // Generate a matrix for QR
57                                                 ma := test.ma
58                                                 na := test.na
59                                                 lda := test.lda
60                                                 if lda == 0 {
61                                                         lda = na
62                                                 }
63                                                 a := make([]float64, ma*lda)
64                                                 for i := 0; i < ma; i++ {
65                                                         for j := 0; j < lda; j++ {
66                                                                 a[i*lda+j] = rnd.Float64()
67                                                         }
68                                                 }
69                                                 k := min(ma, na)
70
71                                                 // H is always ma x ma
72                                                 var m, n, rowsWork int
73                                                 switch {
74                                                 default:
75                                                         panic("not implemented")
76                                                 case side == blas.Left:
77                                                         m = test.ma
78                                                         n = test.cdim
79                                                         rowsWork = n
80                                                 case side == blas.Right:
81                                                         m = test.cdim
82                                                         n = test.ma
83                                                         rowsWork = m
84                                                 }
85
86                                                 // Use dgeqr2 to find the v vectors
87                                                 tau := make([]float64, na)
88                                                 work := make([]float64, na)
89                                                 impl.Dgeqr2(ma, k, a, lda, tau, work)
90
91                                                 // Correct the v vectors based on the direct and store
92                                                 vMatTmp := extractVMat(ma, na, a, lda, lapack.Forward, lapack.ColumnWise)
93                                                 vMat := constructVMat(vMatTmp, store, direct)
94                                                 v := vMat.Data
95                                                 ldv := vMat.Stride
96
97                                                 // Use dlarft to find the t vector
98                                                 ldt := test.ldt
99                                                 if ldt == 0 {
100                                                         ldt = k
101                                                 }
102                                                 tm := make([]float64, k*ldt)
103
104                                                 impl.Dlarft(direct, store, ma, k, v, ldv, tau, tm, ldt)
105
106                                                 // Generate c matrix
107                                                 ldc := test.ldc
108                                                 if ldc == 0 {
109                                                         ldc = n
110                                                 }
111                                                 c := make([]float64, m*ldc)
112                                                 for i := 0; i < m; i++ {
113                                                         for j := 0; j < ldc; j++ {
114                                                                 c[i*ldc+j] = rnd.Float64()
115                                                         }
116                                                 }
117                                                 cCopy := make([]float64, len(c))
118                                                 copy(cCopy, c)
119
120                                                 ldwork := k
121                                                 work = make([]float64, rowsWork*k)
122
123                                                 // Call Dlarfb with this information
124                                                 impl.Dlarfb(side, trans, direct, store, m, n, k, v, ldv, tm, ldt, c, ldc, work, ldwork)
125
126                                                 h := constructH(tau, vMat, store, direct)
127
128                                                 cMat := blas64.General{
129                                                         Rows:   m,
130                                                         Cols:   n,
131                                                         Stride: ldc,
132                                                         Data:   make([]float64, m*ldc),
133                                                 }
134                                                 copy(cMat.Data, cCopy)
135                                                 ans := blas64.General{
136                                                         Rows:   m,
137                                                         Cols:   n,
138                                                         Stride: ldc,
139                                                         Data:   make([]float64, m*ldc),
140                                                 }
141                                                 copy(ans.Data, cMat.Data)
142                                                 switch {
143                                                 default:
144                                                         panic("not implemented")
145                                                 case side == blas.Left && trans == blas.NoTrans:
146                                                         blas64.Gemm(blas.NoTrans, blas.NoTrans, 1, h, cMat, 0, ans)
147                                                 case side == blas.Left && trans == blas.Trans:
148                                                         blas64.Gemm(blas.Trans, blas.NoTrans, 1, h, cMat, 0, ans)
149                                                 case side == blas.Right && trans == blas.NoTrans:
150                                                         blas64.Gemm(blas.NoTrans, blas.NoTrans, 1, cMat, h, 0, ans)
151                                                 case side == blas.Right && trans == blas.Trans:
152                                                         blas64.Gemm(blas.NoTrans, blas.Trans, 1, cMat, h, 0, ans)
153                                                 }
154                                                 if !floats.EqualApprox(ans.Data, c, 1e-14) {
155                                                         t.Errorf("Cas %v mismatch. Want %v, got %v.", cas, ans.Data, c)
156                                                 }
157                                         }
158                                 }
159                         }
160                 }
161         }
162 }