public void SumUTest(int test, float expected)
{
float[] src = (float[])testArrays[test].Clone();
var actual = CpuMathUtils.Sum(src, src.Length);
Assert.Equal(expected, actual, 2);
}
/// <summary>
/// Returns sum of elements in array
/// </summary>
public static Float Sum(Float[] a)
{
if (a == null || a.Length == 0)
{
return(0);
}
return(CpuMathUtils.Sum(a));
}
private static Float Mean(Float[] src, int count, int length)
{
if (length == 0 || count == 0)
{
return(0);
}
return(CpuMathUtils.Sum(src, 0, count) / length);
}
public void SumTest(string mode, string test, Dictionary <string, string> environmentVariables)
{
RemoteExecutor.RemoteInvoke((arg0, arg1) =>
{
CheckProperFlag(arg0);
float[] src = (float[])_testArrays[int.Parse(arg1)].Clone();
float expected = 0;
for (int i = 0; i < src.Length; i++)
{
expected += src[i];
}
var actual = CpuMathUtils.Sum(src);
Assert.Equal(expected, actual, 2);
return(RemoteExecutor.SuccessExitCode);
}, mode, test, new RemoteInvokeOptions(environmentVariables));
}
/// <summary>
/// Compute Standard Deviation. In case of both subMean and useStd are true, we technically need to compute variance
/// based on centered values (i.e. after subtracting the mean). But since the centered
/// values mean is approximately zero, we can use variance of non-centered values.
/// </summary>
private static Float StdDev(Float[] values, int count, int length)
{
Contracts.Assert(0 <= count && count <= length);
if (count == 0)
{
return(0);
}
// We need a mean to compute variance.
Float tmpMean = CpuMathUtils.Sum(values, 0, count) / length;
Float sumSq = 0;
if (count != length && tmpMean != 0)
{
// Sparse representation.
Float meanSq = tmpMean * tmpMean;
sumSq = (length - count) * meanSq;
}
sumSq += CpuMathUtils.SumSq(tmpMean, values, 0, count);
return(MathUtils.Sqrt(sumSq / length));
}
public float Simple() => CpuMathUtils.Sum(Enumerable.Range(0, 1024).Select(Convert.ToSingle).ToArray());
public float Sum() => CpuMathUtils.Sum(new Span <float>(src, 0, _smallInputLength));
public float ManagedSumUPerf() => CpuMathUtils.Sum(src, LEN);