File: dlarfb.go

package info (click to toggle)
golang-gonum-v1-gonum 0.15.1-1
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 18,792 kB
  • sloc: asm: 6,252; fortran: 5,271; sh: 377; ruby: 211; makefile: 98
file content (162 lines) | stat: -rw-r--r-- 4,471 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package testlapack

import (
	"testing"

	"golang.org/x/exp/rand"

	"gonum.org/v1/gonum/blas"
	"gonum.org/v1/gonum/blas/blas64"
	"gonum.org/v1/gonum/floats"
	"gonum.org/v1/gonum/lapack"
)

type Dlarfber interface {
	Dlarfter
	Dlarfb(side blas.Side, trans blas.Transpose, direct lapack.Direct,
		store lapack.StoreV, m, n, k int, v []float64, ldv int, t []float64, ldt int,
		c []float64, ldc int, work []float64, ldwork int)
}

func DlarfbTest(t *testing.T, impl Dlarfber) {
	rnd := rand.New(rand.NewSource(1))
	for _, store := range []lapack.StoreV{lapack.ColumnWise, lapack.RowWise} {
		for _, direct := range []lapack.Direct{lapack.Forward, lapack.Backward} {
			for _, side := range []blas.Side{blas.Left, blas.Right} {
				for _, trans := range []blas.Transpose{blas.Trans, blas.NoTrans} {
					for cas, test := range []struct {
						ma, na, cdim, lda, ldt, ldc int
					}{
						{6, 6, 6, 0, 0, 0},
						{6, 8, 10, 0, 0, 0},
						{6, 10, 8, 0, 0, 0},
						{8, 6, 10, 0, 0, 0},
						{8, 10, 6, 0, 0, 0},
						{10, 6, 8, 0, 0, 0},
						{10, 8, 6, 0, 0, 0},
						{6, 6, 6, 12, 15, 30},
						{6, 8, 10, 12, 15, 30},
						{6, 10, 8, 12, 15, 30},
						{8, 6, 10, 12, 15, 30},
						{8, 10, 6, 12, 15, 30},
						{10, 6, 8, 12, 15, 30},
						{10, 8, 6, 12, 15, 30},
						{6, 6, 6, 15, 12, 30},
						{6, 8, 10, 15, 12, 30},
						{6, 10, 8, 15, 12, 30},
						{8, 6, 10, 15, 12, 30},
						{8, 10, 6, 15, 12, 30},
						{10, 6, 8, 15, 12, 30},
						{10, 8, 6, 15, 12, 30},
					} {
						// Generate a matrix for QR
						ma := test.ma
						na := test.na
						lda := test.lda
						if lda == 0 {
							lda = na
						}
						a := make([]float64, ma*lda)
						for i := 0; i < ma; i++ {
							for j := 0; j < lda; j++ {
								a[i*lda+j] = rnd.Float64()
							}
						}
						k := min(ma, na)

						// H is always ma x ma
						var m, n, rowsWork int
						switch {
						default:
							panic("not implemented")
						case side == blas.Left:
							m = test.ma
							n = test.cdim
							rowsWork = n
						case side == blas.Right:
							m = test.cdim
							n = test.ma
							rowsWork = m
						}

						// Use dgeqr2 to find the v vectors
						tau := make([]float64, k)
						work := make([]float64, na)
						impl.Dgeqr2(ma, k, a, lda, tau, work)

						// Correct the v vectors based on the direct and store
						vMatTmp := extractVMat(ma, na, a, lda, lapack.Forward, lapack.ColumnWise)
						vMat := constructVMat(vMatTmp, store, direct)
						v := vMat.Data
						ldv := vMat.Stride

						// Use dlarft to find the t vector
						ldt := test.ldt
						if ldt == 0 {
							ldt = k
						}
						tm := make([]float64, k*ldt)

						impl.Dlarft(direct, store, ma, k, v, ldv, tau, tm, ldt)

						// Generate c matrix
						ldc := test.ldc
						if ldc == 0 {
							ldc = n
						}
						c := make([]float64, m*ldc)
						for i := 0; i < m; i++ {
							for j := 0; j < ldc; j++ {
								c[i*ldc+j] = rnd.Float64()
							}
						}
						cCopy := make([]float64, len(c))
						copy(cCopy, c)

						ldwork := k
						work = make([]float64, rowsWork*k)

						// Call Dlarfb with this information
						impl.Dlarfb(side, trans, direct, store, m, n, k, v, ldv, tm, ldt, c, ldc, work, ldwork)

						h := constructH(tau, vMat, store, direct)

						cMat := blas64.General{
							Rows:   m,
							Cols:   n,
							Stride: ldc,
							Data:   make([]float64, m*ldc),
						}
						copy(cMat.Data, cCopy)
						ans := blas64.General{
							Rows:   m,
							Cols:   n,
							Stride: ldc,
							Data:   make([]float64, m*ldc),
						}
						copy(ans.Data, cMat.Data)
						switch {
						default:
							panic("not implemented")
						case side == blas.Left && trans == blas.NoTrans:
							blas64.Gemm(blas.NoTrans, blas.NoTrans, 1, h, cMat, 0, ans)
						case side == blas.Left && trans == blas.Trans:
							blas64.Gemm(blas.Trans, blas.NoTrans, 1, h, cMat, 0, ans)
						case side == blas.Right && trans == blas.NoTrans:
							blas64.Gemm(blas.NoTrans, blas.NoTrans, 1, cMat, h, 0, ans)
						case side == blas.Right && trans == blas.Trans:
							blas64.Gemm(blas.NoTrans, blas.Trans, 1, cMat, h, 0, ans)
						}
						if !floats.EqualApprox(ans.Data, c, 1e-14) {
							t.Errorf("Cas %v mismatch. Want %v, got %v.", cas, ans.Data, c)
						}
					}
				}
			}
		}
	}
}