124 lines
5.7 KiB
C#
124 lines
5.7 KiB
C#
//-----------------------------------------------------------------------
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// -----------------------------------------------------------------------
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// file="MatrixCompute"
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// Project: StgSharp
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// AuthorGroup: Nitload
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// Copyright (c) Nitload. All rights reserved.
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//
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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// of this software and associated documentation files (the "Software"), to deal
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// in the Software without restriction, including without limitation the rights
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// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the Software is
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// furnished to do so, subject to the following conditions:
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//
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// The above copyright notice and this permission notice shall be included in all
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// copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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// SOFTWARE.
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//
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// -----------------------------------------------------------------------
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// -----------------------------------------------------------------------
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using StgSharp.HighPerformance;
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using StgSharp.Internal;
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Numerics;
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using System.Runtime.CompilerServices;
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using System.Text;
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using System.Threading.Tasks;
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namespace StgSharp.Mathematics.Numeric
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{
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public partial class MatrixCompute
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{
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internal static unsafe void ComputeFmaPanelF32(
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MatrixParallelTaskPackage* p
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)
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{
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int f32 = (int)MatrixElementType.F32;
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MatrixKernel* leftBuffer = (MatrixKernel*)p->Left;
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MatrixKernel* rightBuffer = (MatrixKernel*)p->Right;
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MatrixKernel* ansBuffer = (MatrixKernel*)p->Answer;
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ref long offsetRef = ref Unsafe.As<int, long>(ref p->PrimTileOffset);
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ref long lengthRef = ref Unsafe.As<int, long>(ref p->PrimCount);
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int ansWidth = p->AnsPrimOffset;
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int ansHeight = p->AnsSecOffset;
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int commonK = p->LeftPrimOffset;
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// int blocksPerRow = ansWidth / size;
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// in this occasion size must be 1
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for (long c = offsetRef; c < offsetRef + lengthRef; c++)
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{
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int i = (int)(c / ansWidth);
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int j = (int)(c % ansWidth);
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for (int k = 0; k < commonK; k++) {
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NativeIntrinsic.Context
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.mat[f32].kernel_fma(
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(MatrixPanel*)GetKernelAddressUnsafe((MatrixKernel<float>*)leftBuffer,
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ansHeight, k, j),
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(MatrixPanel*)GetKernelAddressUnsafe((MatrixKernel<float>*)rightBuffer,
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commonK, j, k),
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(MatrixPanel*)GetKernelAddressUnsafe((MatrixKernel<float>*)ansBuffer,
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ansHeight, i, j));
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}
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}
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}
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internal static unsafe void ComputeFmaPanelF64(
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MatrixParallelTaskPackage* p
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)
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{
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int f64 = (int)MatrixElementType.F64;
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// int size = 1;
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MatrixKernel* leftBuffer = (MatrixKernel*)p->Left;
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MatrixKernel* rightBuffer = (MatrixKernel*)p->Right;
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MatrixKernel* ansBuffer = (MatrixKernel*)p->Answer;
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ref long offsetRef = ref Unsafe.As<int, long>(ref p->PrimTileOffset);
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ref long lengthRef = ref Unsafe.As<int, long>(ref p->PrimCount);
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int ansWidth = p->AnsPrimOffset;
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int ansHeight = p->AnsSecOffset;
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int commonK = p->LeftPrimOffset;
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// in this occasion size must be 1
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for (long c = offsetRef; c < offsetRef + lengthRef; c++)
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{
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int i = (int)(c / ansWidth);
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int j = (int)(c % ansWidth);
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for (int k = 0; k < commonK; k += 1) {
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NativeIntrinsic.Context
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.mat[f64].kernel_fma(
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(MatrixPanel*)GetKernelAddressUnsafe((MatrixKernel<double>*)leftBuffer,
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ansHeight, k, j),
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(MatrixPanel*)GetKernelAddressUnsafe((MatrixKernel<double>*)rightBuffer,
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commonK, j, k),
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(MatrixPanel*)GetKernelAddressUnsafe((MatrixKernel<double>*)ansBuffer,
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ansHeight, i, j));
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}
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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internal static unsafe MatrixKernel<T>* GetKernelAddressUnsafe<T>(
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MatrixKernel<T>* buffer,
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int colLength,
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int x,
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int y
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) where T : unmanaged, INumber<T>
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{
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return buffer + (colLength * x + y);
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}
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}
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}
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