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// Copyright ©2020 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 (
"fmt"
"math"
"testing"
"golang.org/x/exp/rand"
"gonum.org/v1/gonum/blas"
"gonum.org/v1/gonum/lapack"
)
func DlantbBenchmark(b *testing.B, impl Dlantber) {
var result float64
rnd := rand.New(rand.NewSource(1))
for _, bm := range []struct {
n, k int
}{
{n: 10000, k: 1},
{n: 10000, k: 2},
{n: 10000, k: 100},
} {
n := bm.n
k := bm.k
lda := k + 1
for _, norm := range []lapack.MatrixNorm{lapack.MaxAbs, lapack.MaxRowSum, lapack.MaxColumnSum, lapack.Frobenius} {
var work []float64
if norm == lapack.MaxColumnSum {
work = make([]float64, n)
}
for _, uplo := range []blas.Uplo{blas.Lower, blas.Upper} {
for _, diag := range []blas.Diag{blas.NonUnit, blas.Unit} {
name := fmt.Sprintf("%v%v%vN=%vK=%v", normToString(norm), uploToString(uplo), diagToString(diag), n, k)
b.Run(name, func(b *testing.B) {
for i := 0; i < b.N; i++ {
b.StopTimer()
a := make([]float64, n*lda)
for i := range a {
a[i] = rnd.NormFloat64()
}
b.StartTimer()
result = impl.Dlantb(norm, uplo, diag, bm.n, bm.k, a, lda, work)
}
})
}
}
}
}
if math.IsNaN(result) {
b.Error("unexpected NaN result")
}
}
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