public Matrix Uniform(float a)
{
float a2 = 2 * a;
float an = -a;
ThreadSafeFastRandom.NextFloats(Data.AsSpan());
SIMD.Multiply(Data.AsSpan(), a2);
SIMD.Add(Data.AsSpan(), an);
return(this);
}
public Matrix Uniform(float a)
{
float a2 = 2 * a;
float an = -a;
Parallel.For(0, Rows, (i) =>
{
ThreadSafeFastRandom.NextFloats(Data[i]);
SIMD.Multiply(ref Data[i], a2);
SIMD.Add(ref Data[i], an);
});
return(this);
}
public void ResizeAndFillRows(int newRows, float a)
{
float a2 = 2 * a;
float an = -a;
Array.Resize(ref Data, newRows * Columns);
var toFill = Data.AsSpan().Slice(Rows * Columns);
ThreadSafeFastRandom.NextFloats(toFill);
SIMD.Multiply(toFill, a2);
SIMD.Add(toFill, an);
Rows = newRows;
}
public unsafe void Can_Add_Scalar_To_Vector()
{
var mem = Marshal.AllocHGlobal(16 * sizeof(float));
var ptr = (float *)mem.ToPointer();
for (var i = 0; i < 8; ++i)
{
*ptr++ = i;
}
SIMD.Add((ptr - 8), 10, ptr, 8);
for (var i = 0; i < 8; ++i)
{
Assert.AreEqual((i + 10.0f).ToString(), (*ptr++).ToString());
}
}
public void AddToRow(ref float[] vec, int i)
{
SIMD.Add(ref Data[i], ref vec);
}
public void AddToRow(ReadOnlySpan <float> vec, int i)
{
SIMD.Add(Data.AsSpan().Slice(i * Columns, Columns), vec);
}
public void AddToRow(float[] vec, int i)
{
SIMD.Add(Data[i], vec);
}
