private void MatMulTranAnyDimensionTest(int col, int row)
{
float[] mat = new float[col * row];
Random rand = new Random(DefaultSeed);
for (int i = 0; i < col * row; i++)
{
mat[i] = rand.Next(0, 10);
}
float[] src = new float[row];
for (int i = 0; i < row; i++)
{
src[i] = rand.Next(0, 10);
}
float[] dst = new float[col];
float[] expected = new float[col];
for (int i = 0; i < dst.Length; i++)
{
float dotProduct = 0;
for (int j = 0; j < row; j++)
{
dotProduct += mat[j * dst.Length + i] * src[j];
}
expected[i] = dotProduct;
}
CpuMathUtils.MatrixTimesSource(true, mat, src, dst, row);
Assert.Equal(expected, dst, _matMulComparer);
}
public void MatTimesSrcSparseTest(string mode, string matTest, string srcTest, string dstTest, Dictionary <string, string> environmentVariables)
{
RemoteExecutor.RemoteInvoke((arg0, arg1, arg2, arg3) =>
{
CheckProperFlag(arg0);
AlignedArray mat = _testMatrices[int.Parse(arg1)];
AlignedArray src = _testSrcVectors[int.Parse(arg2)];
AlignedArray dst = _testDstVectors[int.Parse(arg3)];
int[] idx = _testIndexArray;
float[] expected = new float[dst.Size];
int limit = (int.Parse(arg2) == 0) ? 4 : 9;
for (int i = 0; i < dst.Size; i++)
{
float dotProduct = 0;
for (int j = 0; j < limit; j++)
{
int col = idx[j];
dotProduct += mat[i * src.Size + col] * src[col];
}
expected[i] = dotProduct;
}
CpuMathUtils.MatrixTimesSource(mat, idx, src, 0, 0, limit, dst, dst.Size);
float[] actual = new float[dst.Size];
dst.CopyTo(actual, 0, dst.Size);
Assert.Equal(expected, actual, _matMulComparer);
return(RemoteExecutor.SuccessExitCode);
}, mode, matTest, srcTest, dstTest, new RemoteInvokeOptions(environmentVariables));
}
/// <summary>
/// Matrix multiplication:
/// dst = mat * src
/// </summary>
/// <param name="mat">The multiplier matrix</param>
/// <param name="src">The source vector</param>
/// <param name="dst">The destination vector</param>
public static void MatTimesSrc(ICpuFullMatrix mat, ICpuVector src, ICpuVector dst)
{
bool colMajor = typeof(TMatrix) == typeof(CpuAlignedMatrixCol);
AssertCompatible(mat, src, dst);
var m = A(mat);
CpuMathUtils.MatrixTimesSource(colMajor, m.Items, A(src).Items, A(dst).Items, m.RunCnt);
}
public void MatMulTranTest(int matTest, int srcTest, int dstTest, float[] expected)
{
AlignedArray mat = _testMatrices[matTest];
AlignedArray src = _testSrcVectors[srcTest];
AlignedArray dst = _testDstVectors[dstTest];
CpuMathUtils.MatrixTimesSource(true, mat, src, dst, src.Size);
float[] actual = new float[dst.Size];
dst.CopyTo(actual, 0, dst.Size);
Assert.Equal(expected, actual, _matMulComparer);
}
public void MatMulTest(int matTest, int srcTest, int dstTest, float[] expected)
{
float[] mat = _testMatrices[matTest];
float[] src = _testSrcVectors[srcTest];
float[] dst = _testDstVectors[dstTest];
CpuMathUtils.MatrixTimesSource(false, mat, src, dst, dst.Length);
float[] actual = new float[dst.Length];
Array.Copy(dst, actual, dst.Length);
Assert.Equal(expected, actual, _matMulComparer);
}
public void MatTimesSrcSparseTest(int matTest, int srcTest, int dstTest, float[] expected)
{
float[] mat = _testMatrices[matTest];
float[] src = _testSrcVectors[srcTest];
float[] dst = _testDstVectors[dstTest];
int[] idx = _testIndexArray;
CpuMathUtils.MatrixTimesSource(mat, idx, src, 0, 0, (srcTest == 0) ? 4 : 9, dst, dst.Length);
float[] actual = new float[dst.Length];
Array.Copy(dst, actual, dst.Length);
Assert.Equal(expected, actual, _matMulComparer);
}
public void MatTimesSrcSparseTest(int matTest, int srcTest, int dstTest, float[] expected)
{
AlignedArray mat = _testMatrices[matTest];
AlignedArray src = _testSrcVectors[srcTest];
AlignedArray dst = _testDstVectors[dstTest];
int[] idx = _testIndexArray;
CpuMathUtils.MatrixTimesSource(mat, idx, src, 0, 0, (srcTest == 0) ? 4 : 9, dst, dst.Size);
float[] actual = new float[dst.Size];
dst.CopyTo(actual, 0, dst.Size);
Assert.Equal(expected, actual, _matMulComparer);
}
