//----------------------------------------------------------------------- // ----------------------------------------------------------------------- // file="MatrixTest" // 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.Mathematics.Memory; using StgSharp.Mathematics.Numeric; using System; using System.Collections.Generic; using System.Linq; using System.Numerics; using System.Text; using System.Threading.Tasks; using T = float; namespace StgSharp { internal static partial class Program { private const long size = 1024L * 1024L * 1024L * 4L; private static int sideLength = 1000; internal static unsafe void TestMatrix( ) { // TestRender(); /**/ HybridLayerSegregatedFitAllocator hlsf; unchecked { hlsf = new((nuint)size, 32, size); } Matrix m = Matrix.Create(sideLength, sideLength, MatrixLayout.DenseRectangle, hlsf); // MatrixCompute.Fill(m, 1.0f); Matrix n = Matrix.Create(sideLength, sideLength, MatrixLayout.DenseRectangle, hlsf); // MatrixCompute.Fill(n, 1.0f); Matrix p = Matrix.Create(sideLength, sideLength, MatrixLayout.DenseRectangle, hlsf); // MatrixCompute.Fill(p, 0.0f); /* for (int j = 0; j < 20; j++) { for (int k = 0; k < 10; k++) { Console.Write($"{m[j, k]:0.0E+00}\t"); } Console.WriteLine(); } /**/ Console.WriteLine("==================================================="); // MatrixCompute.Mul(n, m, p); /**/ for (int i = 0; i < 20; i++) { if (i % 4 == 0) { Console.WriteLine(); } for (int j = 0; j < 20; j++) { string extra = j % 4 == 3 ? " " : ","; T value = p[j, i]; // value = T.Abs(value) < 1e-6 ? 0 : value; // Console.Write($"{p.GetElementOffset(j,i)}{extra}"); Console.Write($"{value:000}{extra}"); } Console.WriteLine(); } Console.WriteLine("==================================================="); /**/ } } }