Benchmarks for #123610 (Copilot) #603
Description
Processing dotnet/runtime#123610 (comment) command:
Command
-x64 -arm
using System;
using System.Numerics.Tensors;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Running;
BenchmarkSwitcher.FromAssembly(typeof(Bench).Assembly).Run(args);
[MemoryDiagnoser]
public class Bench
{
private float[] _floatData = default!;
private double[] _doubleData = default!;
private Half[] _halfData = default!;
[Params(512)]
public int Count { get; set; }
[GlobalSetup]
public void Setup()
{
var random = new Random(42);
_floatData = new float[Count];
_doubleData = new double[Count];
_halfData = new Half[Count];
for (int i = 0; i < Count; i++)
{
_floatData[i] = (float)(random.NextDouble() * 1000 - 500);
_doubleData[i] = random.NextDouble() * 1000 - 500;
_halfData[i] = (Half)_floatData[i];
}
}
[Benchmark]
public void BitIncrement_Single()
{
TensorPrimitives.BitIncrement(_floatData, _floatData);
}
[Benchmark]
public void BitIncrement_Double()
{
TensorPrimitives.BitIncrement(_doubleData, _doubleData);
}
[Benchmark]
public void BitIncrement_Half()
{
TensorPrimitives.BitIncrement(_halfData, _halfData);
}
[Benchmark]
public void BitDecrement_Single()
{
TensorPrimitives.BitDecrement(_floatData, _floatData);
}
[Benchmark]
public void BitDecrement_Double()
{
TensorPrimitives.BitDecrement(_doubleData, _doubleData);
}
[Benchmark]
public void BitDecrement_Half()
{
TensorPrimitives.BitDecrement(_halfData, _halfData);
}
}This will benchmark all three types (float, double, Half) for both BitIncrement and BitDecrement operations on x64 and ARM architectures, comparing the PR changes against the base branch.
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