📷 A modern, cross-platform, 2D Graphics library for .NET
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// Copyright (c) Six Labors.
// Licensed under the Apache License, Version 2.0.
using System;
using System.Linq;
using System.Numerics;
using System.Runtime.CompilerServices;
#if SUPPORTS_RUNTIME_INTRINSICS
using System.Runtime.Intrinsics.X86;
#endif
using SixLabors.ImageSharp.PixelFormats;
using SixLabors.ImageSharp.Tests.TestUtilities;
using Xunit;
using Xunit.Abstractions;
namespace SixLabors.ImageSharp.Tests.Common
{
public partial class SimdUtilsTests
{
private ITestOutputHelper Output { get; }
public SimdUtilsTests(ITestOutputHelper output)
{
this.Output = output;
}
private static int R(float f) => (int)Math.Round(f, MidpointRounding.AwayFromZero);
private static int Re(float f) => (int)Math.Round(f, MidpointRounding.ToEven);
// TODO: Move this to a proper test class!
[Theory]
[InlineData(0.32, 54.5, -3.5, -4.1)]
[InlineData(5.3, 536.4, 4.5, 8.1)]
public void PseudoRound(float x, float y, float z, float w)
{
var v = new Vector4(x, y, z, w);
Vector4 actual = v.PseudoRound();
Assert.Equal(R(v.X), (int)actual.X);
Assert.Equal(R(v.Y), (int)actual.Y);
Assert.Equal(R(v.Z), (int)actual.Z);
Assert.Equal(R(v.W), (int)actual.W);
}
private static Vector<float> CreateExactTestVector1()
{
var data = new float[Vector<float>.Count];
data[0] = 0.1f;
data[1] = 0.4f;
data[2] = 0.5f;
data[3] = 0.9f;
for (int i = 4; i < Vector<float>.Count; i++)
{
data[i] = data[i - 4] + 100f;
}
return new Vector<float>(data);
}
private static Vector<float> CreateRandomTestVector(int seed, float min, float max)
{
var data = new float[Vector<float>.Count];
var rnd = new Random(seed);
for (int i = 0; i < Vector<float>.Count; i++)
{
float v = ((float)rnd.NextDouble() * (max - min)) + min;
data[i] = v;
}
return new Vector<float>(data);
}
[Fact]
public void FastRound()
{
Vector<float> v = CreateExactTestVector1();
Vector<float> r = v.FastRound();
this.Output.WriteLine(r.ToString());
AssertEvenRoundIsCorrect(r, v);
}
[Theory]
[InlineData(1, 1f)]
[InlineData(1, 10f)]
[InlineData(1, 1000f)]
[InlineData(42, 1f)]
[InlineData(42, 10f)]
[InlineData(42, 1000f)]
public void FastRound_RandomValues(int seed, float scale)
{
Vector<float> v = CreateRandomTestVector(seed, -scale * 0.5f, scale * 0.5f);
Vector<float> r = v.FastRound();
this.Output.WriteLine(v.ToString());
this.Output.WriteLine(r.ToString());
AssertEvenRoundIsCorrect(r, v);
}
private bool SkipOnNonAvx2([CallerMemberName] string testCaseName = null)
{
if (!SimdUtils.HasVector8)
{
this.Output.WriteLine("Skipping AVX2 specific test case: " + testCaseName);
return true;
}
return false;
}
[Theory]
[InlineData(1, 0)]
[InlineData(1, 8)]
[InlineData(2, 16)]
[InlineData(3, 128)]
public void BasicIntrinsics256_BulkConvertNormalizedFloatToByte_WithRoundedData(int seed, int count)
{
if (this.SkipOnNonAvx2())
{
return;
}
float[] orig = new Random(seed).GenerateRandomRoundedFloatArray(count, 0, 256);
float[] normalized = orig.Select(f => f / 255f).ToArray();
var dest = new byte[count];
SimdUtils.BasicIntrinsics256.BulkConvertNormalizedFloatToByte(normalized, dest);
byte[] expected = orig.Select(f => (byte)f).ToArray();
Assert.Equal(expected, dest);
}
[Theory]
[InlineData(1, 0)]
[InlineData(1, 8)]
[InlineData(2, 16)]
[InlineData(3, 128)]
public void BasicIntrinsics256_BulkConvertNormalizedFloatToByte_WithNonRoundedData(int seed, int count)
{
if (this.SkipOnNonAvx2())
{
return;
}
float[] source = new Random(seed).GenerateRandomFloatArray(count, 0, 1f);
var dest = new byte[count];
SimdUtils.BasicIntrinsics256.BulkConvertNormalizedFloatToByte(source, dest);
byte[] expected = source.Select(f => (byte)Math.Round(f * 255f)).ToArray();
Assert.Equal(expected, dest);
}
public static readonly TheoryData<int> ArraySizesDivisibleBy8 = new TheoryData<int> { 0, 8, 16, 1024 };
public static readonly TheoryData<int> ArraySizesDivisibleBy4 = new TheoryData<int> { 0, 4, 8, 28, 1020 };
public static readonly TheoryData<int> ArraySizesDivisibleBy3 = new TheoryData<int> { 0, 3, 9, 36, 957 };
public static readonly TheoryData<int> ArraySizesDivisibleBy32 = new TheoryData<int> { 0, 32, 512 };
public static readonly TheoryData<int> ArbitraryArraySizes =
new TheoryData<int>
{
0, 1, 2, 3, 4, 7, 8, 9, 15, 16, 17, 63, 64, 255, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520,
};
[Theory]
[MemberData(nameof(ArraySizesDivisibleBy4))]
public void FallbackIntrinsics128_BulkConvertByteToNormalizedFloat(int count)
{
TestImpl_BulkConvertByteToNormalizedFloat(
count,
(s, d) => SimdUtils.FallbackIntrinsics128.ByteToNormalizedFloat(s.Span, d.Span));
}
[Theory]
[MemberData(nameof(ArraySizesDivisibleBy8))]
public void BasicIntrinsics256_BulkConvertByteToNormalizedFloat(int count)
{
if (this.SkipOnNonAvx2())
{
return;
}
TestImpl_BulkConvertByteToNormalizedFloat(
count,
(s, d) => SimdUtils.BasicIntrinsics256.ByteToNormalizedFloat(s.Span, d.Span));
}
[Theory]
[MemberData(nameof(ArraySizesDivisibleBy32))]
public void ExtendedIntrinsics_BulkConvertByteToNormalizedFloat(int count)
{
TestImpl_BulkConvertByteToNormalizedFloat(
count,
(s, d) => SimdUtils.ExtendedIntrinsics.ByteToNormalizedFloat(s.Span, d.Span));
}
#if SUPPORTS_RUNTIME_INTRINSICS
[Theory]
[MemberData(nameof(ArraySizesDivisibleBy32))]
public void HwIntrinsics_BulkConvertByteToNormalizedFloat(int count)
{
static void RunTest(string serialized)
{
TestImpl_BulkConvertByteToNormalizedFloat(
FeatureTestRunner.Deserialize<int>(serialized),
(s, d) => SimdUtils.HwIntrinsics.ByteToNormalizedFloat(s.Span, d.Span));
}
FeatureTestRunner.RunWithHwIntrinsicsFeature(
RunTest,
count,
HwIntrinsics.AllowAll | HwIntrinsics.DisableAVX2 | HwIntrinsics.DisableSSE41);
}
#endif
[Theory]
[MemberData(nameof(ArbitraryArraySizes))]
public void BulkConvertByteToNormalizedFloat(int count)
{
TestImpl_BulkConvertByteToNormalizedFloat(
count,
(s, d) => SimdUtils.ByteToNormalizedFloat(s.Span, d.Span));
}
private static void TestImpl_BulkConvertByteToNormalizedFloat(
int count,
Action<Memory<byte>, Memory<float>> convert)
{
byte[] source = new Random(count).GenerateRandomByteArray(count);
var result = new float[count];
float[] expected = source.Select(b => (float)b / 255f).ToArray();
convert(source, result);
Assert.Equal(expected, result, new ApproximateFloatComparer(1e-5f));
}
[Theory]
[MemberData(nameof(ArraySizesDivisibleBy4))]
public void FallbackIntrinsics128_BulkConvertNormalizedFloatToByteClampOverflows(int count)
{
TestImpl_BulkConvertNormalizedFloatToByteClampOverflows(
count,
(s, d) => SimdUtils.FallbackIntrinsics128.NormalizedFloatToByteSaturate(s.Span, d.Span));
}
[Theory]
[MemberData(nameof(ArraySizesDivisibleBy8))]
public void BasicIntrinsics256_BulkConvertNormalizedFloatToByteClampOverflows(int count)
{
if (this.SkipOnNonAvx2())
{
return;
}
TestImpl_BulkConvertNormalizedFloatToByteClampOverflows(count, (s, d) => SimdUtils.BasicIntrinsics256.NormalizedFloatToByteSaturate(s.Span, d.Span));
}
[Theory]
[MemberData(nameof(ArraySizesDivisibleBy32))]
public void ExtendedIntrinsics_BulkConvertNormalizedFloatToByteClampOverflows(int count)
{
TestImpl_BulkConvertNormalizedFloatToByteClampOverflows(
count,
(s, d) => SimdUtils.ExtendedIntrinsics.NormalizedFloatToByteSaturate(s.Span, d.Span));
}
[Theory]
[InlineData(1234)]
public void ExtendedIntrinsics_ConvertToSingle(short scale)
{
int n = Vector<float>.Count;
short[] sData = new Random(scale).GenerateRandomInt16Array(2 * n, (short)-scale, scale);
float[] fData = sData.Select(u => (float)u).ToArray();
var source = new Vector<short>(sData);
var expected1 = new Vector<float>(fData, 0);
var expected2 = new Vector<float>(fData, n);
// Act:
SimdUtils.ExtendedIntrinsics.ConvertToSingle(source, out Vector<float> actual1, out Vector<float> actual2);
// Assert:
Assert.Equal(expected1, actual1);
Assert.Equal(expected2, actual2);
}
#if SUPPORTS_RUNTIME_INTRINSICS
[Theory]
[MemberData(nameof(ArraySizesDivisibleBy32))]
public void HwIntrinsics_BulkConvertNormalizedFloatToByteClampOverflows(int count)
{
static void RunTest(string serialized)
{
TestImpl_BulkConvertNormalizedFloatToByteClampOverflows(
FeatureTestRunner.Deserialize<int>(serialized),
(s, d) => SimdUtils.HwIntrinsics.NormalizedFloatToByteSaturate(s.Span, d.Span));
}
FeatureTestRunner.RunWithHwIntrinsicsFeature(
RunTest,
count,
HwIntrinsics.AllowAll | HwIntrinsics.DisableAVX2);
}
#endif
[Theory]
[MemberData(nameof(ArbitraryArraySizes))]
public void BulkConvertNormalizedFloatToByteClampOverflows(int count)
{
TestImpl_BulkConvertNormalizedFloatToByteClampOverflows(count, (s, d) => SimdUtils.NormalizedFloatToByteSaturate(s.Span, d.Span));
// For small values, let's stress test the implementation a bit:
if (count > 0 && count < 10)
{
for (int i = 0; i < 20; i++)
{
TestImpl_BulkConvertNormalizedFloatToByteClampOverflows(
count,
(s, d) => SimdUtils.NormalizedFloatToByteSaturate(s.Span, d.Span),
i + 42);
}
}
}
[Theory]
[MemberData(nameof(ArbitraryArraySizes))]
public void PackFromRgbPlanes_Rgb24(int count)
{
TestPackFromRgbPlanes<Rgb24>(
count,
(r, g, b, actual) =>
SimdUtils.PackFromRgbPlanes(Configuration.Default, r, g, b, actual));
}
[Theory]
[MemberData(nameof(ArbitraryArraySizes))]
public void PackFromRgbPlanes_Rgba32(int count)
{
TestPackFromRgbPlanes<Rgba32>(
count,
(r, g, b, actual) =>
SimdUtils.PackFromRgbPlanes(Configuration.Default, r, g, b, actual));
}
#if SUPPORTS_RUNTIME_INTRINSICS
[Fact]
public void PackFromRgbPlanesAvx2Reduce_Rgb24()
{
if (!Avx2.IsSupported)
{
return;
}
byte[] r = Enumerable.Range(0, 32).Select(x => (byte)x).ToArray();
byte[] g = Enumerable.Range(100, 32).Select(x => (byte)x).ToArray();
byte[] b = Enumerable.Range(200, 32).Select(x => (byte)x).ToArray();
const int padding = 4;
Rgb24[] d = new Rgb24[32 + padding];
ReadOnlySpan<byte> rr = r.AsSpan();
ReadOnlySpan<byte> gg = g.AsSpan();
ReadOnlySpan<byte> bb = b.AsSpan();
Span<Rgb24> dd = d.AsSpan();
SimdUtils.HwIntrinsics.PackFromRgbPlanesAvx2Reduce(ref rr, ref gg, ref bb, ref dd);
for (int i = 0; i < 32; i++)
{
Assert.Equal(i, d[i].R);
Assert.Equal(i + 100, d[i].G);
Assert.Equal(i + 200, d[i].B);
}
Assert.Equal(0, rr.Length);
Assert.Equal(0, gg.Length);
Assert.Equal(0, bb.Length);
Assert.Equal(padding, dd.Length);
}
[Fact]
public void PackFromRgbPlanesAvx2Reduce_Rgba32()
{
if (!Avx2.IsSupported)
{
return;
}
byte[] r = Enumerable.Range(0, 32).Select(x => (byte)x).ToArray();
byte[] g = Enumerable.Range(100, 32).Select(x => (byte)x).ToArray();
byte[] b = Enumerable.Range(200, 32).Select(x => (byte)x).ToArray();
Rgba32[] d = new Rgba32[32];
ReadOnlySpan<byte> rr = r.AsSpan();
ReadOnlySpan<byte> gg = g.AsSpan();
ReadOnlySpan<byte> bb = b.AsSpan();
Span<Rgba32> dd = d.AsSpan();
SimdUtils.HwIntrinsics.PackFromRgbPlanesAvx2Reduce(ref rr, ref gg, ref bb, ref dd);
for (int i = 0; i < 32; i++)
{
Assert.Equal(i, d[i].R);
Assert.Equal(i + 100, d[i].G);
Assert.Equal(i + 200, d[i].B);
Assert.Equal(255, d[i].A);
}
Assert.Equal(0, rr.Length);
Assert.Equal(0, gg.Length);
Assert.Equal(0, bb.Length);
Assert.Equal(0, dd.Length);
}
#endif
internal static void TestPackFromRgbPlanes<TPixel>(int count, Action<byte[], byte[], byte[], TPixel[]> packMethod)
where TPixel : unmanaged, IPixel<TPixel>
{
Random rnd = new Random(42);
byte[] r = rnd.GenerateRandomByteArray(count);
byte[] g = rnd.GenerateRandomByteArray(count);
byte[] b = rnd.GenerateRandomByteArray(count);
TPixel[] expected = new TPixel[count];
for (int i = 0; i < count; i++)
{
expected[i].FromRgb24(new Rgb24(r[i], g[i], b[i]));
}
TPixel[] actual = new TPixel[count + 3]; // padding for Rgb24 AVX2
packMethod(r, g, b, actual);
Assert.True(expected.AsSpan().SequenceEqual(actual.AsSpan().Slice(0, count)));
}
private static void TestImpl_BulkConvertNormalizedFloatToByteClampOverflows(
int count,
Action<Memory<float>,
Memory<byte>> convert,
int seed = -1)
{
seed = seed > 0 ? seed : count;
float[] source = new Random(seed).GenerateRandomFloatArray(count, -0.2f, 1.2f);
byte[] expected = source.Select(NormalizedFloatToByte).ToArray();
var actual = new byte[count];
convert(source, actual);
Assert.Equal(expected, actual);
}
private static byte NormalizedFloatToByte(float f) => (byte)Math.Min(255f, Math.Max(0f, (f * 255f) + 0.5f));
private static void AssertEvenRoundIsCorrect(Vector<float> r, Vector<float> v)
{
for (int i = 0; i < Vector<float>.Count; i++)
{
int actual = (int)r[i];
int expected = Re(v[i]);
Assert.Equal(expected, actual);
}
}
}
}