// 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 ( "math/rand" "testing" "github.com/gonum/blas" "github.com/gonum/blas/blas64" "github.com/gonum/floats" "github.com/gonum/lapack" ) type Dormbrer interface { Dormbr(vect lapack.DecompUpdate, side blas.Side, trans blas.Transpose, m, n, k int, a []float64, lda int, tau, c []float64, ldc int, work []float64, lwork int) Dgebrder } func DormbrTest(t *testing.T, impl Dormbrer) { rnd := rand.New(rand.NewSource(1)) bi := blas64.Implementation() for _, vect := range []lapack.DecompUpdate{lapack.ApplyQ, lapack.ApplyP} { for _, side := range []blas.Side{blas.Left, blas.Right} { for _, trans := range []blas.Transpose{blas.NoTrans, blas.Trans} { for _, wl := range []worklen{minimumWork, mediumWork, optimumWork} { for _, test := range []struct { m, n, k, lda, ldc int }{ {3, 4, 5, 0, 0}, {3, 5, 4, 0, 0}, {4, 3, 5, 0, 0}, {4, 5, 3, 0, 0}, {5, 3, 4, 0, 0}, {5, 4, 3, 0, 0}, {3, 4, 5, 10, 12}, {3, 5, 4, 10, 12}, {4, 3, 5, 10, 12}, {4, 5, 3, 10, 12}, {5, 3, 4, 10, 12}, {5, 4, 3, 10, 12}, {150, 140, 130, 0, 0}, } { m := test.m n := test.n k := test.k ldc := test.ldc if ldc == 0 { ldc = n } nq := n nw := m if side == blas.Left { nq = m nw = n } // Compute a decomposition. var ma, na int var a []float64 if vect == lapack.ApplyQ { ma = nq na = k } else { ma = k na = nq } lda := test.lda if lda == 0 { lda = na } a = make([]float64, ma*lda) for i := range a { a[i] = rnd.NormFloat64() } nTau := min(nq, k) tauP := make([]float64, nTau) tauQ := make([]float64, nTau) d := make([]float64, nTau) e := make([]float64, nTau) work := make([]float64, 1) impl.Dgebrd(ma, na, a, lda, d, e, tauQ, tauP, work, -1) work = make([]float64, int(work[0])) impl.Dgebrd(ma, na, a, lda, d, e, tauQ, tauP, work, len(work)) // Apply and compare update. c := make([]float64, m*ldc) for i := range c { c[i] = rnd.NormFloat64() } cCopy := make([]float64, len(c)) copy(cCopy, c) var lwork int switch wl { case minimumWork: lwork = nw case optimumWork: impl.Dormbr(vect, side, trans, m, n, k, a, lda, tauQ, c, ldc, work, -1) lwork = int(work[0]) case mediumWork: work := make([]float64, 1) impl.Dormbr(vect, side, trans, m, n, k, a, lda, tauQ, c, ldc, work, -1) lwork = (int(work[0]) + nw) / 2 } lwork = max(1, lwork) work = make([]float64, lwork) if vect == lapack.ApplyQ { impl.Dormbr(vect, side, trans, m, n, k, a, lda, tauQ, c, ldc, work, lwork) } else { impl.Dormbr(vect, side, trans, m, n, k, a, lda, tauP, c, ldc, work, lwork) } // Check that the multiplication was correct. cOrig := blas64.General{ Rows: m, Cols: n, Stride: ldc, Data: make([]float64, len(cCopy)), } copy(cOrig.Data, cCopy) cAns := blas64.General{ Rows: m, Cols: n, Stride: ldc, Data: make([]float64, len(cCopy)), } copy(cAns.Data, cCopy) nb := min(ma, na) var mulMat blas64.General if vect == lapack.ApplyQ { mulMat = constructQPBidiagonal(lapack.ApplyQ, ma, na, nb, a, lda, tauQ) } else { mulMat = constructQPBidiagonal(lapack.ApplyP, ma, na, nb, a, lda, tauP) } mulTrans := trans if side == blas.Left { bi.Dgemm(mulTrans, blas.NoTrans, m, n, m, 1, mulMat.Data, mulMat.Stride, cOrig.Data, cOrig.Stride, 0, cAns.Data, cAns.Stride) } else { bi.Dgemm(blas.NoTrans, mulTrans, m, n, n, 1, cOrig.Data, cOrig.Stride, mulMat.Data, mulMat.Stride, 0, cAns.Data, cAns.Stride) } if !floats.EqualApprox(cAns.Data, c, 1e-13) { isApplyQ := vect == lapack.ApplyQ isLeft := side == blas.Left isTrans := trans == blas.Trans t.Errorf("C mismatch. isApplyQ: %v, isLeft: %v, isTrans: %v, m = %v, n = %v, k = %v, lda = %v, ldc = %v", isApplyQ, isLeft, isTrans, m, n, k, lda, ldc) } } } } } } }