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lapack/testlapack: add implementation comment to Dlarfx test
This commit is contained in:
committed by
Vladimír Chalupecký
parent
9868dba4c8
commit
1c98c3150f
@@ -21,6 +21,7 @@ type Dlarfxer interface {
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func DlarfxTest(t *testing.T, impl Dlarfxer) {
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rnd := rand.New(rand.NewSource(1))
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for _, side := range []blas.Side{blas.Right, blas.Left} {
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// For m and n greater than 10 we are testing Dlarf, so avoid unnecessary work.
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for m := 1; m < 12; m++ {
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for n := 1; n < 12; n++ {
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for _, extra := range []int{0, 1, 11} {
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@@ -36,22 +37,28 @@ func DlarfxTest(t *testing.T, impl Dlarfxer) {
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func testDlarfx(t *testing.T, impl Dlarfxer, side blas.Side, m, n, extra int, rnd *rand.Rand) {
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const tol = 1e-13
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c := randomGeneral(m, n, n+extra, rnd)
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cWant := randomGeneral(m, n, n+extra, rnd)
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tau := rnd.NormFloat64()
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var (
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v []float64
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h blas64.General
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)
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// Generate random input data.
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var v []float64
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if side == blas.Left {
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v = randomSlice(m, rnd)
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h = eye(m, m+extra)
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} else {
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v = randomSlice(n, rnd)
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}
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tau := rnd.NormFloat64()
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ldc := n + extra
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c := randomGeneral(m, n, ldc, rnd)
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// Compute the matrix H explicitly as H := I - tau * v * v^T.
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var h blas64.General
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if side == blas.Left {
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h = eye(m, m+extra)
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} else {
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h = eye(n, n+extra)
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}
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blas64.Ger(-tau, blas64.Vector{Inc: 1, Data: v}, blas64.Vector{Inc: 1, Data: v}, h)
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// Compute the product H * C or C * H explicitly.
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cWant := nanGeneral(m, n, ldc)
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if side == blas.Left {
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blas64.Gemm(blas.NoTrans, blas.NoTrans, 1, h, c, 0, cWant)
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} else {
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