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stgsharp/StgSharp.Mathematics/Numeric/Linear/Matrix.Create.cs
T

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C#

//-----------------------------------------------------------------------
// -----------------------------------------------------------------------
// file="Matrix.Create"
// Project: StgSharp
// AuthorGroup: Nitload
// Copyright (c) Nitload. All rights reserved.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in all
// copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
// SOFTWARE.
//
// -----------------------------------------------------------------------
// -----------------------------------------------------------------------
using StgSharp.HighPerformance.Memory;
using StgSharp.Mathematics;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Runtime.CompilerServices;
using System.Text;
using System.Threading.Tasks;
using Tlsf = global::StgSharp.HighPerformance.Memory.TwoLayerSegregatedFitAllocator;
namespace StgSharp.Mathematics.Numeric
{
public unsafe partial class Matrix<T>
{
private const int KernelSideLength = 4;
public static Matrix<T> Create(
int columnLength,
int rowLength,
MatrixLayout layout,
TwoLayerSegregatedFitAllocator allocator
)
{
ArgumentNullException.ThrowIfNull(allocator);
ArgumentOutOfRangeException.ThrowIfNegativeOrZero(columnLength);
ArgumentOutOfRangeException.ThrowIfNegativeOrZero(rowLength);
int kernelColumns = DivideRoundUp(columnLength, KernelSideLength);
int kernelRows = DivideRoundUp(rowLength, KernelSideLength);
if (layout is MatrixLayout.UpperTriangle or MatrixLayout.LowerTriangle)
{
if (kernelColumns != kernelRows) {
throw new ArgumentException("Triangular layouts require square matrices.");
}
}
long kernelCount = layout switch
{
MatrixLayout.DenseRectangle => (long)kernelColumns * kernelRows,
MatrixLayout.UpperTriangle => TriangularKernelCount(kernelColumns),
MatrixLayout.LowerTriangle => TriangularKernelCount(kernelRows),
_ => throw new ArgumentOutOfRangeException(nameof(layout))
};
long requiredBytes = kernelCount * MatrixKernel<T>.Size;
ArgumentOutOfRangeException.ThrowIfNegativeOrZero(requiredBytes, nameof(requiredBytes));
Tlsf.Handle handle = allocator.Alloc((uint)requiredBytes);
MatrixStorageHLSF<T> storage = new MatrixStorageHLSF<T>(allocator, handle);
Matrix<T> matrix = new Matrix<T>(MatrixKernelBoarder.Create(layout), new MatrixSize(columnLength,
rowLength,
kernelColumns,
kernelRows), storage);
return matrix;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static int DivideRoundUp(
int value,
int divisor
)
{
return (value + (divisor - 1)) / divisor;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static long TriangularKernelCount(
int order
)
{
long n = order;
return (n * (n + 1L)) / 2L;
}
}
}