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Use multiple CPU cores #29

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bc49727
Use multiple CPU cores
aalmada Apr 25, 2024
392cd8b
One more iteration
aalmada Apr 26, 2024
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14 changes: 7 additions & 7 deletions src/NetFabric.Numerics.Tensors.Benchmarks/AddBenchmarks.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ public class AddBenchmarks
float[]? sourceFloat, otherFloat, resultFloat;
double[]? sourceDouble, otherDouble, resultDouble;

[Params(100)]
[Params(1_000)]
public int Count { get; set; }

[GlobalSetup]
Expand Down Expand Up @@ -75,7 +75,7 @@ public void System_Short()
[BenchmarkCategory("Short")]
[Benchmark]
public void NetFabric_Short()
=> TensorOperations.Add<short>(sourceShort!, otherShort!, resultShort!);
=> TensorOperations.Add(sourceShort!, otherShort!, resultShort!);

[BenchmarkCategory("Int")]
[Benchmark(Baseline = true)]
Expand All @@ -90,7 +90,7 @@ public void System_Int()
[BenchmarkCategory("Int")]
[Benchmark]
public void NetFabric_Int()
=> TensorOperations.Add<int>(sourceInt!, otherInt!, resultInt!);
=> TensorOperations.Add(sourceInt!, otherInt!, resultInt!);

[BenchmarkCategory("Long")]
[Benchmark(Baseline = true)]
Expand All @@ -105,7 +105,7 @@ public void System_Long()
[BenchmarkCategory("Long")]
[Benchmark]
public void NetFabric_Long()
=> TensorOperations.Add<long>(sourceLong!, otherLong!, resultLong!);
=> TensorOperations.Add(sourceLong!, otherLong!, resultLong!);

[BenchmarkCategory("Half")]
[Benchmark(Baseline = true)]
Expand All @@ -120,7 +120,7 @@ public void System_Half()
[BenchmarkCategory("Half")]
[Benchmark]
public void NetFabric_Half()
=> TensorOperations.Add<Half>(sourceHalf!, otherHalf!, resultHalf!);
=> TensorOperations.Add(sourceHalf!, otherHalf!, resultHalf!);

[BenchmarkCategory("Float")]
[Benchmark(Baseline = true)]
Expand All @@ -135,7 +135,7 @@ public void System_Float()
[BenchmarkCategory("Float")]
[Benchmark]
public void NetFabric_Float()
=> TensorOperations.Add<float>(sourceFloat!, otherFloat!, resultFloat!);
=> TensorOperations.Add(sourceFloat!, otherFloat!, resultFloat!);

[BenchmarkCategory("Double")]
[Benchmark(Baseline = true)]
Expand All @@ -150,5 +150,5 @@ public void System_Double()
[BenchmarkCategory("Double")]
[Benchmark]
public void NetFabric_Double()
=> TensorOperations.Add<double>(sourceDouble!, otherDouble!, resultDouble!);
=> TensorOperations.Add(sourceDouble!, otherDouble!, resultDouble!);
}
154 changes: 77 additions & 77 deletions src/NetFabric.Numerics.Tensors.Benchmarks/NegateBenchmarks.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ public class NegateBenchmarks
float[]? sourceFloat, resultFloat;
double[]? sourceDouble, resultDouble;

[Params(100)]
[Params(1_000)]
public int Count { get; set; }

[GlobalSetup]
Expand Down Expand Up @@ -63,80 +63,80 @@ public void System_Short()
[BenchmarkCategory("Short")]
[Benchmark]
public void NetFabric_Short()
=> TensorOperations.Negate<short>(sourceShort!, resultShort!);

[BenchmarkCategory("Int")]
[Benchmark(Baseline = true)]
public void Baseline_Int()
=> Baseline.Negate<int>(sourceInt!, resultInt!);

[BenchmarkCategory("Int")]
[Benchmark]
public void System_Int()
=> TensorPrimitives.Negate<int>(sourceInt!, resultInt!);

[BenchmarkCategory("Int")]
[Benchmark]
public void NetFabric_Int()
=> TensorOperations.Negate<int>(sourceInt!, resultInt!);

[BenchmarkCategory("Long")]
[Benchmark(Baseline = true)]
public void Baseline_Long()
=> Baseline.Negate<long>(sourceLong!, resultLong!);

[BenchmarkCategory("Long")]
[Benchmark]
public void System_Long()
=> TensorPrimitives.Negate<long>(sourceLong!, resultLong!);

[BenchmarkCategory("Long")]
[Benchmark]
public void NetFabric_Long()
=> TensorOperations.Negate<long>(sourceLong!, resultLong!);

[BenchmarkCategory("Half")]
[Benchmark(Baseline = true)]
public void Baseline_Half()
=> Baseline.Negate<Half>(sourceHalf!, resultHalf!);

[BenchmarkCategory("Half")]
[Benchmark]
public void System_Half()
=> TensorPrimitives.Negate<Half>(sourceHalf!, resultHalf!);

[BenchmarkCategory("Half")]
[Benchmark]
public void NetFabric_Half()
=> TensorOperations.Negate<Half>(sourceHalf!, resultHalf!);

[BenchmarkCategory("Float")]
[Benchmark(Baseline = true)]
public void Baseline_Float()
=> Baseline.Negate<float>(sourceFloat!, resultFloat!);

[BenchmarkCategory("Float")]
[Benchmark]
public void System_Float()
=> TensorPrimitives.Negate(sourceFloat!, resultFloat!);

[BenchmarkCategory("Float")]
[Benchmark]
public void NetFabric_Float()
=> TensorOperations.Negate<float>(sourceFloat!, resultFloat!);

[BenchmarkCategory("Double")]
[Benchmark(Baseline = true)]
public void Baseline_Double()
=> Baseline.Negate<double>(sourceDouble!, resultDouble!);

[BenchmarkCategory("Double")]
[Benchmark]
public void System_Double()
=> TensorPrimitives.Negate<double>(sourceDouble!, resultDouble!);

[BenchmarkCategory("Double")]
[Benchmark]
public void NetFabric_Double()
=> TensorOperations.Negate<double>(sourceDouble!, resultDouble!);
=> TensorOperations.Negate(sourceShort!, resultShort!);

// [BenchmarkCategory("Int")]
// [Benchmark(Baseline = true)]
// public void Baseline_Int()
// => Baseline.Negate<int>(sourceInt!, resultInt!);

// [BenchmarkCategory("Int")]
// [Benchmark]
// public void System_Int()
// => TensorPrimitives.Negate<int>(sourceInt!, resultInt!);

// [BenchmarkCategory("Int")]
// [Benchmark]
// public void NetFabric_Int()
// => TensorOperations.Negate(sourceInt!, resultInt!);

// [BenchmarkCategory("Long")]
// [Benchmark(Baseline = true)]
// public void Baseline_Long()
// => Baseline.Negate<long>(sourceLong!, resultLong!);

// [BenchmarkCategory("Long")]
// [Benchmark]
// public void System_Long()
// => TensorPrimitives.Negate<long>(sourceLong!, resultLong!);

// [BenchmarkCategory("Long")]
// [Benchmark]
// public void NetFabric_Long()
// => TensorOperations.Negate(sourceLong!, resultLong!);

// [BenchmarkCategory("Half")]
// [Benchmark(Baseline = true)]
// public void Baseline_Half()
// => Baseline.Negate<Half>(sourceHalf!, resultHalf!);

// [BenchmarkCategory("Half")]
// [Benchmark]
// public void System_Half()
// => TensorPrimitives.Negate<Half>(sourceHalf!, resultHalf!);

// [BenchmarkCategory("Half")]
// [Benchmark]
// public void NetFabric_Half()
// => TensorOperations.Negate(sourceHalf!, resultHalf!);

// [BenchmarkCategory("Float")]
// [Benchmark(Baseline = true)]
// public void Baseline_Float()
// => Baseline.Negate<float>(sourceFloat!, resultFloat!);

// [BenchmarkCategory("Float")]
// [Benchmark]
// public void System_Float()
// => TensorPrimitives.Negate(sourceFloat!, resultFloat!);

// [BenchmarkCategory("Float")]
// [Benchmark]
// public void NetFabric_Float()
// => TensorOperations.Negate(sourceFloat!, resultFloat!);

// [BenchmarkCategory("Double")]
// [Benchmark(Baseline = true)]
// public void Baseline_Double()
// => Baseline.Negate<double>(sourceDouble!, resultDouble!);

// [BenchmarkCategory("Double")]
// [Benchmark]
// public void System_Double()
// => TensorPrimitives.Negate<double>(sourceDouble!, resultDouble!);

// [BenchmarkCategory("Double")]
// [Benchmark]
// public void NetFabric_Double()
// => TensorOperations.Negate(sourceDouble!, resultDouble!);
}
13 changes: 7 additions & 6 deletions src/NetFabric.Numerics.Tensors.UnitTests/AddTests.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
public class AddTests
{
public static TheoryData<int> AddData
=> new() { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 };
=> new() { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 1_001 };

static void Add_Should_Succeed<T>(int count)
where T : struct, INumber<T>
Expand All @@ -16,14 +16,15 @@ static void Add_Should_Succeed<T>(int count)
var random = new Random(42);
for (var index = 0; index < count; index++)
{
var value = random.Next(100);
x[index] = T.CreateChecked(value);
y[index] = T.CreateChecked(value + 1);
expected[index] = T.CreateChecked(value + value + 1);
var value1 = random.Next(100);
var value2 = random.Next(100);
x[index] = T.CreateChecked(value1);
y[index] = T.CreateChecked(value2);
expected[index] = T.CreateChecked(value1 + value2);
}

// act
TensorOperations.Add<T>(x, y, result);
TensorOperations.Add(x, y, result);

// assert
Assert.Equal(expected, result);
Expand Down
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