示例#1
0
func _TestMultSymmLowerSmall(t *testing.T) {
	//bM := 5
	bN := 7
	bP := 7
	Adata := [][]float64{
		[]float64{1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 0.0, 0.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 4.0, 0.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 4.0, 5.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0}}

	A := matrix.FloatMatrixFromTable(Adata, matrix.RowOrder)
	B := matrix.FloatNormal(bN, bP)
	C0 := matrix.FloatZeros(bN, bP)
	C1 := matrix.FloatZeros(bN, bP)

	Ar := A.FloatArray()
	Br := B.FloatArray()
	C1r := C1.FloatArray()

	blas.SymmFloat(A, B, C0, 1.0, 1.0, linalg.OptLower, linalg.OptRight)

	DMultSymm(C1r, Ar, Br, 1.0, 1.0, LOWER|RIGHT, bN, A.LeadingIndex(), bN,
		bN, 0, bP, 0, bN, 2, 2, 2)
	ok := C0.AllClose(C1)
	t.Logf("C0 == C1: %v\n", ok)
	if !ok {
		t.Logf("A=\n%v\n", A)
		t.Logf("blas: C=A*B\n%v\n", C0)
		t.Logf("C1: C1 = A*X\n%v\n", C1)
	}
}
示例#2
0
func CTestBlasUp(m, n, p int) (fnc func(), A, B, C *matrix.FloatMatrix) {
	A = matrix.FloatNormalSymmetric(m, matrix.Lower)
	B = matrix.FloatNormal(m, n)
	C = matrix.FloatZeros(m, n)
	fnc = func() {
		blas.SymmFloat(A, B, C, 1.0, 1.0, linalg.OptUpper)
	}
	return fnc, A, B, C
}
示例#3
0
func _TestMultSymmLower(t *testing.T) {
	//bM := 5
	bN := 100 * N
	bP := 100 * P
	A := matrix.FloatNormalSymmetric(bN, matrix.Lower)
	B := matrix.FloatNormal(bN, bP)
	C0 := matrix.FloatZeros(bN, bP)
	C1 := matrix.FloatZeros(bN, bP)

	Ar := A.FloatArray()
	Br := B.FloatArray()
	C1r := C1.FloatArray()

	blas.SymmFloat(A, B, C0, 1.0, 1.0, linalg.OptLower)

	DMultSymm(C1r, Ar, Br, 1.0, 1.0, LOWER|LEFT, bN, A.LeadingIndex(), bN,
		bN, 0, bP, 0, bN, 32, 32, 32)
	t.Logf("C0 == C1: %v\n", C0.AllClose(C1))
}
示例#4
0
func CheckLower(A, B, C *matrix.FloatMatrix) {
	blas.SymmFloat(A, B, C, 1.0, 1.0, linalg.OptLower)
}
示例#5
0
func CheckNormal(A, B, C *matrix.FloatMatrix) {
	blas.SymmFloat(A, B, C, 1.0, 1.0, linalg.OptUpper)
}