public DenseVectorAdd(int size, int rounds)
{
_rounds = rounds;
_b = Vector <double> .Build.Random(size);
_a = Vector <double> .Build.Random(size);
_managed.InitializeVerify();
Control.LinearAlgebraProvider = _managed;
#if NATIVE
_mkl.InitializeVerify();
#endif
}
public DenseMatrixProduct(int size, int rounds)
{
_rounds = rounds;
_b = Matrix <double> .Build.Random(size, size);
_a = Matrix <double> .Build.Random(size, size);
_managed.InitializeVerify();
_safeProvider.InitializeVerify();
_unsafeProvider.InitializeVerify();
_experimentalProvider.InitializeVerify();
#if NATIVEMKL
_mkl.InitializeVerify();
#endif
}
public DenseMatrixProduct()
{
foreach (var m in new[] {8, 64, 128})
foreach (var n in new[] {8, 64, 128})
{
var key = Key(m, n);
_data[key] = Matrix<double>.Build.Random(m, n);
}
Control.NativeProviderPath = @"..\..\..\..\out\MKL\Windows\";
_mathnetMkl = new MklLinearAlgebraProvider();
_mathnetManaged = new ManagedLinearAlgebraProvider();
_mathnetExperimental = new ManagedLinearAlgebraProvider(Variation.Experimental);
_mathnetMkl.InitializeVerify();
_mathnetManaged.InitializeVerify();
_mathnetExperimental.InitializeVerify();
}
public DenseMatrixProduct()
{
foreach (var m in new[] { 8, 64, 128 })
{
foreach (var n in new[] { 8, 64, 128 })
{
var key = Key(m, n);
_data[key] = Matrix <double> .Build.Random(m, n);
}
}
Control.NativeProviderPath = @"..\..\..\..\out\MKL\Windows\";
_mathnetMkl = LinearAlgebraControl.CreateNativeMKL();
_mathnetManaged = LinearAlgebraControl.CreateManaged();
//_mathnetExperimental = new ManagedLinearAlgebraProvider(Variation.Experimental);
_mathnetMkl.InitializeVerify();
_mathnetManaged.InitializeVerify();
//_mathnetExperimental.InitializeVerify();
}