public long MeasurePoolParameter(int minArraySize, int maxPoolSize, int iter, ILArray <double> A, ILArray <double> B)
{
ILMemoryPool.Pool.Collect();
ILMemoryPool.Pool.Reset(minArraySize, maxPoolSize);
ILPerformer mon = new ILPerformer();
ILArray <double> C = ILMath.zeros(A.Dimensions);
ILArray <double> t1, t2;
mon.Tic();
for (int i = 0; i < iter; i++)
{
t1 = A + B;
t2 = C + t1;
t1.Dispose();
C.Dispose();
C = t2;
}
mon.Toc();
return(mon.Duration);
}
public void Test_Basic()
{
int errorCode = 0;
try {
ILMemoryPool.Pool.Reset(100, 200);
ILArray <double> A = ILMath.rand(30, 30);
double[] aArr = A.m_data;
ILArray <double> B = A.C;
A.Dispose();
// A's array should be in pool now - query
double[] retArr = ILMemoryPool.Pool.New <double>(B.Dimensions.NumberOfElements);
ILArray <double> Res = new ILArray <double>(retArr, B.Dimensions);
if (!Res.Equals(B) || aArr != retArr)
{
throw new Exception("the expected array was not returned from pool!");
}
// query again - should return new array
aArr = ILMemoryPool.Pool.New <double>(B.Dimensions.NumberOfElements);
if (aArr == retArr)
{
throw new Exception("after reclaiming array should be removed from pool!");
}
// test if zero cleares everything;
Res.Dispose();
Res = ILMath.zeros(B.Dimensions);
// Res should have the same array, but cleared ?
if (Res.m_data != retArr)
{
throw new Exception("unexpected array returned from pool");
}
B = new ILArray <double>(new double[30 * 30], 30, 30);
if (!Res.Equals(B))
{
throw new Exception("invalid values - ILMath.zeros should return zeros!");
}
Success();
} catch (Exception e) {
Error(errorCode, e.Message);
}
}
/// <summary>
/// Determinant of square matrix
/// </summary>
/// <param name="A">square input matrix</param>
/// <returns>determinant of A</returns>
/// <remarks><para>The determinant is computed by decomposing A into upper and lower triangular part. Therefore LAPACK function ?getrf is used. <br />
/// Due to the properties of determinants, det(a) is the same as det(L) * det(U),where det(L) can easily be extracted from the permutation indices returned from LU decomposition. det(U) - with U beeing an upper triangular matrix - equals the product of the diagonal elements.</para>
/// <para>For scalar A, a plain copy of A is returned.</para></remarks>
/// <example>Creating a nonsingular 4x4 (double) matrix and it's determinant
/// <code>ILArray<double> A = ILMath.counter(1.0,1.0,4,4);
///A[1] = 0.0; // make A nonsingular
///A[14] = 0.0; //(same as: A[2,3] = 0.0;)
/// // A is now:
/// //<Double> [4,4]
/// //(:,:) 1e+001 *
/// // 0,10000 0,50000 0,90000 1,30000
/// // 0,00000 0,60000 1,00000 1,40000
/// // 0,30000 0,70000 1,10000 0,00000
/// // 0,40000 0,80000 1,20000 1,60000
///
///ILMath.det(A) gives:
/// //<Double> -360
///</code></example>
///<exception cref="ILNumerics.Exceptions.ILArgumentException">if A is empty or not a square matrix</exception>
public static /*!HC:inCls1*/ ILArray <double> det(/*!HC:inCls1*/ ILArray <double> A)
{
if (A.IsScalar)
{
return(A.C);
}
if (A.IsEmpty)
{
throw new ILArgumentException("det: A must be a matrix");
}
int m = A.Dimensions[0];
if (m != A.Dimensions[1])
{
throw new ILArgumentException("det: matrix A must be square");
}
/*!HC:inCls1*/ ILArray <double> L = A.C;
int [] pivInd = new int[m];
int info = 0;
/*!HC:lapack_*getrf*/ Lapack.dgetrf(m, m, L.m_data, m, pivInd, ref info);
if (info < 0)
{
throw new ILArgumentException("det: illegal parameter error.");
}
// determine pivoting: number of exchanges
/*!HC:inArr1*/ double retA = /*!HC:unityVal*/ 1.0;
for (int i = 0; i < m;)
{
retA *= L.m_data[i * m + i];
if (pivInd[i] != ++i)
{
retA *= /*!HC:negUnityValNoCmplx*/ -1.0;
}
}
L.Dispose();
return(new /*!HC:inCls1*/ ILArray <double> (retA));
}
/// <summary>
/// Determinant of square matrix
/// </summary>
/// <param name="A">square input matrix</param>
/// <returns>determinant of A</returns>
/// <remarks><para>The determinant is computed by decomposing A into upper and lower triangular part. Therefore LAPACK function ?getrf is used. <br />
/// Due to the properties of determinants, det(a) is the same as det(L) * det(U),where det(L) can easily be extracted from the permutation indices returned from LU decomposition. det(U) - with U beeing an upper triangular matrix - equals the product of the diagonal elements.</para>
/// <para>For scalar A, a plain copy of A is returned.</para></remarks>
/// <example>Creating a nonsingular 4x4 (double) matrix and it's determinant
/// <code>ILArray<double> A = ILMath.counter(1.0,1.0,4,4);
///A[1] = 0.0; // make A nonsingular
///A[14] = 0.0; //(same as: A[2,3] = 0.0;)
/// // A is now:
/// //<Double> [4,4]
/// //(:,:) 1e+001 *
/// // 0,10000 0,50000 0,90000 1,30000
/// // 0,00000 0,60000 1,00000 1,40000
/// // 0,30000 0,70000 1,10000 0,00000
/// // 0,40000 0,80000 1,20000 1,60000
///
///ILMath.det(A) gives:
/// //<Double> -360
///</code></example>
///<exception cref="ILNumerics.Exceptions.ILArgumentException">if A is empty or not a square matrix</exception>
public static ILArray <complex> det(ILArray <complex> A)
{
if (A.IsScalar)
{
return(A.C);
}
if (A.IsEmpty)
{
throw new ILArgumentException("det: A must be a matrix");
}
int m = A.Dimensions[0];
if (m != A.Dimensions[1])
{
throw new ILArgumentException("det: matrix A must be square");
}
ILArray <complex> L = A.C;
int [] pivInd = new int[m];
int info = 0;
Lapack.zgetrf(m, m, L.m_data, m, pivInd, ref info);
if (info < 0)
{
throw new ILArgumentException("det: illegal parameter error.");
}
// determine pivoting: number of exchanges
complex retA = new complex(1.0, 0.0);
for (int i = 0; i < m;)
{
retA *= L.m_data[i * m + i];
if (pivInd[i] != ++i)
{
retA *= -1.0;
}
}
L.Dispose();
return(new ILArray <complex> (retA));
}
public void Test_Sum() {
int errorCode = 0;
try {
double[] data = new double[120];
for (int i = 0; i < data.Length; i++)
data[i] = i+1;
ILArray<double> A = new ILArray<double>(data, 6, 5, 4);
ILArray<double> Res = new ILArray<double>(new double[20] {
21,57,93,129,165,201,237,273,309,345,381,417,453,489,525,561,597,633,669,705}, 1, 5, 4);
ILArray<double> S = ILMath.sum(A);
ILPerformer p = new ILPerformer();
if (S.Dimensions.NonSingletonDimensions != 2)
throw new Exception("Wrong size of Sum result! ");
if (S.Dimensions.NumberOfDimensions != 3)
throw new Exception("Wrong size of Sum result! ");
if (S.Dimensions[0] != 1)
throw new Exception("Wrong size of leading Dimension of Sum result! ");
if (S.Dimensions[1] != 5)
throw new Exception("Wrong size of 2. Dimension of Sum result! ");
if (S.Dimensions[2] != 4)
throw new Exception("Wrong size of 3. Dimension of Sum result! ");
if (S.Dimensions.NumberOfElements != 20)
throw new Exception("Wrong number of elements of Sum result! ");
if (! Res.Equals(S))
throw new Exception("Wrong values of Sum result! ");
ILArray<double> B = (ILArray<double>)A[1,"1:end;1:end;2"];
double [] data2 = new double[4] { 350,380,410,440 };
Res = new ILArray<double>(data2, 4, 1);
if (!Res.Equals(ILMath.sum(B,1)))
throw new Exception("Wrong values of Sum result! ");
errorCode = 1;
// test non-matrix, reference case
A = (ILArray<double>)ILMath.counter(4,3,2).CreateReference();
if (!A.IsReference)
throw new Exception("sum: test data creation failed: A should be reference array!");
Res = new double[,]{{15,18,21,24},{51,54,57,60}};
Res = ILMath.reshape(Res ,4,1,2);
B = ILMath.sum(A,1);
if (!Res.Equals(B))
throw new Exception("sum: invalid result (n-d, reference)");
ILArray<double> C = new ILArray<double>(data, 1, 1, 4, 5, 6);
Res = new ILArray<double>(new double[30] {
10,26,42,58,74,90,106,122,138,154,170,186,202,218,234,250,266
,282,298,314,330,346,362,378,394,410,426,442,458,474},1,1,1,5,6);
p.Tic();
S = ILMath.sum(C,2);
p.Toc();
if (!Res.Equals(S))
throw new Exception("Wrong values of Sum result! ");
Info("Sum(1x1x4x5x6)[phy] needed: " + p.ToString());
p.Tic();
ILMath.sum(C);
p.Toc();
Info("Sum(1x1x4x5x6)[phy ohne Zuweisung] needed: " + p.ToString());
errorCode = 2;
C = (ILArray<double>)A.T;
p.Tic();
B = ILMath.sum(C);
p.Toc();
Info("Sum(5x4x6)[Ref] needed: " + p.ToString());
p.Tic();
ILMath.sum(C);
p.Toc();
Info("Sum(5x4x6)[Ref ohne Zuweisung] needed: " + p.ToString());
data = new double[8]{15,51,18,54,21,57,24,60};
Res = new ILArray<double>(data,1,2,4);
if (!Res.Equals(B))
throw new Exception("Wrong values of Sum result! ");
errorCode = 3;
// big array:
data = new double[1000 * 1000 * 10];
A = new ILArray<double>(data,1000,1000,10);
p.Tic();
C = ILMath.sum(A);
p.Toc();
Info("Sum(1000x1000x10) [phy] needed: " + p.ToString());
p.Tic();
ILMath.sum(A);
p.Toc();
Info("Sum(1000x1000x10) [phy ohne Zuweisung] needed: " + p.ToString());
errorCode = 4;
data = new double[1000 * 1000 * 10];
A = new ILArray<double>(data, 1000000, 10);
p.Tic();
C = ILMath.sum(A);
p.Toc();
Info("Sum(1000000x10) [phy] needed: " + p.ToString());
p.Tic();
ILMath.sum(A);
p.Toc();
Info("Sum(1000000x10) [phy ohne Zuweisung] needed: " + p.ToString());
errorCode = 5;
data = new double[10 * 1000000];
A = new ILArray<double>(data, 10, 1000000);
p.Tic();
C = ILMath.sum(A);
p.Toc();
Info("Sum(10 x 1000000) [Phy] needed: " + p.ToString());
p.Tic();
ILMath.sum(A);
p.Toc();
Info("Sum(10 x 1000000) [Phy ohne Zuweisung] needed: " + p.ToString());
errorCode = 6;
data = new double[1000 * 1000 * 10];
data[1] = 1.0;
A = (ILArray<double>)A.T;
p.Tic();
C = ILMath.sum(A);
p.Toc();
Info("Sum(1000000 x 10) [Ref] needed: " + p.ToString());
p.Tic();
ILMath.sum(A);
p.Toc();
Info("Sum(1000000 x 10) [Ref ohne Zuweisung] needed: " + p.ToString());
errorCode = 7;
data = new double[120];
for (int i = 0; i < data.Length; i++)
data[i] = i + 1;
A = new ILArray<double>(data, 6, 5, 4);
data = new double[24]{65,70,75,80,85,90,215,220,225,230,235,240,365
,370,375,380,385,390,515,520,525,530,535,540};
Res = new ILArray<double>(data, 6, 1, 4);
p.Tic();
C = ILMath.sum(A,1);
p.Toc();
Info("Sum(6, 5, 4) [phy, dim 2] needed: " + p.ToString());
p.Tic();
ILMath.sum(A,1);
p.Toc();
Info("Sum(6, 5, 4) [phy ohne Zuweisung] needed: " + p.ToString());
if (!Res.Equals(C))
throw new Exception("Wrong values of Sum result! ");
errorCode = 8;
//data = new double[20000000];
//for (int i = 0; i < data.Length; i++)
// data[i] = 2;
A = ILMath.zeros(1,20000000) + 2.0;
Res = 4.0e+07;
p.Tic();
C = ILMath.sum(A);
p.Toc();
Info("Sum(20000000,1) [phy] needed: " + p.ToString());
if (!Res.Equals(C))
throw new Exception("Wrong values of Sum result! ");
p.Tic();
ILMath.sum(A);
p.Toc();
Info("Sum(20000000,1) [phy ohne Zuw.] needed: " + p.ToString());
errorCode = 9;
A.MinimumRefDimensions = 2;
A.Dispose();
A = new ILArray<double>(ILMemoryPool.Pool.New<double>(20000000),1,20000000).R;
p.Tic();
C = ILMath.sum(A);
p.Toc();
Info("Sum(2,10000000) [ref 'vector'] needed: " + p.ToString());
p.Tic();
ILMath.sum(A);
p.Toc();
Info("Sum(1,20000000) [ref vector ohne Zuw.] needed: " + p.ToString());
A = null;
B = null;
C = null;
Res = null;
errorCode = 10;
Success("Test_Sum successfull");
} catch (SerializationException e) {
Error("Test_Sum failed at errorCode: "+errorCode +" Reason: " + e.Message);
} catch (Exception e) {
Error("Test_Sum failed at errorCode: " + errorCode + " Reason: " + e.Message);
}
}