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Add Dgetrs (compute a solution based on LU factorization) and test.
Responded to PR comments
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@@ -136,3 +136,27 @@ func (impl Implementation) Dgetrf(m, n int, a []float64, lda int, ipiv []int) (o
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}
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return ok
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}
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// Dgetrs solves a system of equations using an LU factorization.
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// The system of equations solved is
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// A * X = B if trans == blas.Trans
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// A^T * X = B if trans == blas.NoTrans
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// A is a general n×n matrix with stride lda. B is a general matrix of size n×nrhs.
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//
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// On entry b contains the elements of the matrix B. On exit, b contains the
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// elements of X, the solution to the system of equations.
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//
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// a and ipiv contain the LU factorization of A and the permutation indices as
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// computed by Dgetrf. ipiv is zero-indexed.
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func (impl Implementation) Dgetrs(trans blas.Transpose, n, nrhs int, a []float64, lda int, ipiv []int, b []float64, ldb int) {
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checkMatrix(n, n, a, lda)
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checkMatrix(n, nrhs, b, ldb)
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if len(ipiv) < n {
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panic(badIpiv)
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}
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ipiv32 := make([]int32, len(ipiv))
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for i, v := range ipiv {
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ipiv32[i] = int32(v) + 1 // Transform to one-indexed.
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}
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clapack.Dgetrs(trans, n, nrhs, a, lda, ipiv32, b, ldb)
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}
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@@ -23,3 +23,7 @@ func TestDgetf2(t *testing.T) {
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func TestDgetrf(t *testing.T) {
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testlapack.DgetrfTest(t, impl)
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}
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func TestDgetrs(t *testing.T) {
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testlapack.DgetrsTest(t, impl)
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}
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51
native/dgetrs.go
Normal file
51
native/dgetrs.go
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@@ -0,0 +1,51 @@
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package native
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import (
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"github.com/gonum/blas"
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"github.com/gonum/blas/blas64"
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)
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// Dgetrs solves a system of equations using an LU factorization.
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// The system of equations solved is
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// A * X = B if trans == blas.Trans
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// A^T * X = B if trans == blas.NoTrans
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// A is a general n×n matrix with stride lda. B is a general matrix of size n×nrhs.
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//
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// On entry b contains the elements of the matrix B. On exit, b contains the
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// elements of X, the solution to the system of equations.
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//
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// a and ipiv contain the LU factorization of A and the permutation indices as
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// computed by Dgetrf. ipiv is zero-indexed.
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func (impl Implementation) Dgetrs(trans blas.Transpose, n, nrhs int, a []float64, lda int, ipiv []int, b []float64, ldb int) {
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checkMatrix(n, n, a, lda)
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checkMatrix(n, nrhs, b, ldb)
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if len(ipiv) < n {
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panic(badIpiv)
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}
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if n == 0 || nrhs == 0 {
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return
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}
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if trans != blas.Trans && trans != blas.NoTrans {
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panic(badTrans)
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}
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bi := blas64.Implementation()
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if trans == blas.NoTrans {
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// Solve A * X = B.
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impl.Dlaswp(nrhs, b, ldb, 0, n-1, ipiv, 1)
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// Solve L * X = B, updating b.
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bi.Dtrsm(blas.Left, blas.Lower, blas.NoTrans, blas.Unit,
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n, nrhs, 1, a, lda, b, ldb)
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// Solve U * X = B, updating b.
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bi.Dtrsm(blas.Left, blas.Upper, blas.NoTrans, blas.NonUnit,
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n, nrhs, 1, a, lda, b, ldb)
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return
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}
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// Solve A^T * X = B.
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// Solve U^T * X = B, updating b.
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bi.Dtrsm(blas.Left, blas.Upper, blas.Trans, blas.NonUnit,
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n, nrhs, 1, a, lda, b, ldb)
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// Solve L^T * X = B, updating b.
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bi.Dtrsm(blas.Left, blas.Lower, blas.Trans, blas.Unit,
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n, nrhs, 1, a, lda, b, ldb)
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impl.Dlaswp(nrhs, b, ldb, 0, n-1, ipiv, -1)
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}
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@@ -40,6 +40,10 @@ func TestDgetrf(t *testing.T) {
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testlapack.DgetrfTest(t, impl)
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}
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func TestDgetrs(t *testing.T) {
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testlapack.DgetrsTest(t, impl)
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}
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func TestDlange(t *testing.T) {
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testlapack.DlangeTest(t, impl)
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}
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116
testlapack/dgetrs.go
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116
testlapack/dgetrs.go
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@@ -0,0 +1,116 @@
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package testlapack
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import (
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"math/rand"
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"testing"
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"github.com/gonum/blas"
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"github.com/gonum/blas/blas64"
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"github.com/gonum/floats"
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)
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type Dgetrser interface {
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Dgetrfer
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Dgetrs(trans blas.Transpose, n, nrhs int, a []float64, lda int, ipiv []int, b []float64, ldb int)
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}
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func DgetrsTest(t *testing.T, impl Dgetrser) {
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for _, trans := range []blas.Transpose{blas.NoTrans, blas.Trans} {
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for _, test := range []struct {
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n, nrhs, lda, ldb int
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tol float64
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}{
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{3, 3, 0, 0, 1e-14},
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{3, 3, 0, 0, 1e-14},
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{3, 5, 0, 0, 1e-14},
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{3, 5, 0, 0, 1e-14},
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{5, 3, 0, 0, 1e-14},
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{5, 3, 0, 0, 1e-14},
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{3, 3, 8, 10, 1e-14},
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{3, 3, 8, 10, 1e-14},
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{3, 5, 8, 10, 1e-14},
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{3, 5, 8, 10, 1e-14},
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{5, 3, 8, 10, 1e-14},
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{5, 3, 8, 10, 1e-14},
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{300, 300, 0, 0, 1e-10},
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{300, 300, 0, 0, 1e-10},
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{300, 500, 0, 0, 1e-10},
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{300, 500, 0, 0, 1e-10},
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{500, 300, 0, 0, 1e-10},
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{500, 300, 0, 0, 1e-10},
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{300, 300, 700, 600, 1e-10},
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{300, 300, 700, 600, 1e-10},
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{300, 500, 700, 600, 1e-10},
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{300, 500, 700, 600, 1e-10},
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{500, 300, 700, 600, 1e-10},
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{500, 300, 700, 600, 1e-10},
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} {
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n := test.n
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nrhs := test.nrhs
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lda := test.lda
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if lda == 0 {
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lda = n
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}
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ldb := test.ldb
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if ldb == 0 {
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ldb = nrhs
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}
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a := make([]float64, n*lda)
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for i := range a {
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a[i] = rand.Float64()
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}
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b := make([]float64, n*ldb)
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for i := range b {
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b[i] = rand.Float64()
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}
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aCopy := make([]float64, len(a))
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copy(aCopy, a)
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bCopy := make([]float64, len(b))
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copy(bCopy, b)
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ipiv := make([]int, n)
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for i := range ipiv {
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ipiv[i] = rand.Int()
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}
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// Compute the LU factorization.
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impl.Dgetrf(n, n, a, lda, ipiv)
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// Solve the system of equations given the result.
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impl.Dgetrs(trans, n, nrhs, a, lda, ipiv, b, ldb)
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// Check that the system of equations holds.
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A := blas64.General{
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Rows: n,
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Cols: n,
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Stride: lda,
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Data: aCopy,
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}
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B := blas64.General{
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Rows: n,
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Cols: nrhs,
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Stride: ldb,
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Data: bCopy,
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}
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X := blas64.General{
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Rows: n,
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Cols: nrhs,
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Stride: ldb,
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Data: b,
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}
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tmp := blas64.General{
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Rows: n,
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Cols: nrhs,
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Stride: ldb,
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Data: make([]float64, n*ldb),
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}
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copy(tmp.Data, bCopy)
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blas64.Gemm(trans, blas.NoTrans, 1, A, X, 0, B)
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if !floats.EqualApprox(tmp.Data, bCopy, test.tol) {
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t.Errorf("Linear solve mismatch. trans = %v, n = %v, nrhs = %v, lda = %v, ldb = %v", trans, n, nrhs, lda, ldb)
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}
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}
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}
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}
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