Skip to content

Commit

Permalink
Consolidate some TensorPrimitivesTests logic around special values (#…
Browse files Browse the repository at this point in the history 
…92982)
  • Loading branch information
@stephentoub
stephentoub authored Oct 4, 2023
1 parent 2702df3 commit 5a68b1e
Showing 1 changed file with 66 additions and 92 deletions.
158 changes: 66 additions & 92 deletions src/libraries/System.Numerics.Tensors/tests/TensorPrimitivesTests.cs
View file
Original file line number Diff line number Diff line change
Expand Up @@ -57,6 +57,66 @@ private static unsafe float MathFMinMagnitude(float x, float y)
float ax = MathF.Abs(x), ay = MathF.Abs(y);
return (ax < ay) || float.IsNaN(ax) || (ax == ay && *(int*)&x < 0) ? x : y;
}

private static unsafe int SingleToInt32(float f) => *(int*)&f;

private static unsafe float Int32ToSingle(int i) => *(float*)&i;

private static float AnotherSingleNaN = Int32ToSingle(-8388607);

/// <summary>Loads a variety of special values (e.g. NaN) into random positions in <paramref name="x"/>.</summary>
private static void SetSpecialValues(Span<float> x)
{
// NaN
x[s_random.Next(x.Length)] = float.NaN;
x[s_random.Next(x.Length)] = AnotherSingleNaN;

// +Infinity, -Infinity
x[s_random.Next(x.Length)] = float.PositiveInfinity;
x[s_random.Next(x.Length)] = float.NegativeInfinity;

// +Zero, -Zero
x[s_random.Next(x.Length)] = +0.0f;
x[s_random.Next(x.Length)] = -0.0f;

// +Epsilon, -Epsilon
x[s_random.Next(x.Length)] = +float.Epsilon;
x[s_random.Next(x.Length)] = -float.Epsilon;
}

/// <summary>
/// Loads a variety of special values (e.g. NaN) into random positions in <paramref name="x"/>
/// and related values into the corresponding positions in <paramref name="y"/>.
/// </summary>
private static void SetSpecialValues(Span<float> x, Span<float> y)
{
int pos;

// NaNs
pos = s_random.Next(x.Length);
x[pos] = float.NaN;
y[pos] = AnotherSingleNaN;

// +Infinity, -Infinity
pos = s_random.Next(x.Length);
x[pos] = float.PositiveInfinity;
y[pos] = float.NegativeInfinity;

// +Zero, -Zero
pos = s_random.Next(x.Length);
x[pos] = +0.0f;
y[pos] = -0.0f;

// +Epsilon, -Epsilon
pos = s_random.Next(x.Length);
x[pos] = +float.Epsilon;
y[pos] = -float.Epsilon;

// Same magnitude, opposite sign
pos = s_random.Next(x.Length);
x[pos] = +5.0f;
y[pos] = -5.0f;
}
#endregion

#region Abs
Expand Down Expand Up @@ -1013,26 +1073,7 @@ public static void Log_SpecialValues(int tensorLength)
using BoundedMemory<float> x = CreateAndFillTensor(tensorLength);
using BoundedMemory<float> destination = CreateTensor(tensorLength);

// NaN
x[s_random.Next(x.Length)] = float.NaN;

// +Infinity
x[s_random.Next(x.Length)] = float.PositiveInfinity;

// -Infinity
x[s_random.Next(x.Length)] = float.NegativeInfinity;

// +Zero
x[s_random.Next(x.Length)] = +0.0f;

// -Zero
x[s_random.Next(x.Length)] = -0.0f;

// +Epsilon
x[s_random.Next(x.Length)] = +float.Epsilon;

// -Epsilon
x[s_random.Next(x.Length)] = -float.Epsilon;
SetSpecialValues(x);

TensorPrimitives.Log(x, destination);
for (int i = 0; i < tensorLength; i++)
Expand Down Expand Up @@ -1098,26 +1139,7 @@ public static void Log2_SpecialValues(int tensorLength)
using BoundedMemory<float> x = CreateAndFillTensor(tensorLength);
using BoundedMemory<float> destination = CreateTensor(tensorLength);

// NaN
x[s_random.Next(x.Length)] = float.NaN;

// +Infinity
x[s_random.Next(x.Length)] = float.PositiveInfinity;

// -Infinity
x[s_random.Next(x.Length)] = float.NegativeInfinity;

// +Zero
x[s_random.Next(x.Length)] = +0.0f;

// -Zero
x[s_random.Next(x.Length)] = -0.0f;

// +Epsilon
x[s_random.Next(x.Length)] = +float.Epsilon;

// -Epsilon
x[s_random.Next(x.Length)] = -float.Epsilon;
SetSpecialValues(x);

TensorPrimitives.Log2(x, destination);
for (int i = 0; i < tensorLength; i++)
Expand Down Expand Up @@ -1240,19 +1262,7 @@ public static void Max_TwoTensors_SpecialValues(int tensorLength)
using BoundedMemory<float> y = CreateAndFillTensor(tensorLength);
using BoundedMemory<float> destination = CreateTensor(tensorLength);

// NaNs
x[s_random.Next(x.Length)] = float.NaN;
y[s_random.Next(y.Length)] = float.NaN;

// Same magnitude, opposite sign
int pos = s_random.Next(x.Length);
x[pos] = -5f;
y[pos] = 5f;

// Positive and negative 0s
pos = s_random.Next(x.Length);
x[pos] = 0f;
y[pos] = -0f;
SetSpecialValues(x, y);

TensorPrimitives.Max(x, y, destination);
for (int i = 0; i < tensorLength; i++)
Expand Down Expand Up @@ -1397,19 +1407,7 @@ public static void MaxMagnitude_TwoTensors_SpecialValues(int tensorLength)
using BoundedMemory<float> y = CreateAndFillTensor(tensorLength);
using BoundedMemory<float> destination = CreateTensor(tensorLength);

// NaNs
x[s_random.Next(x.Length)] = float.NaN;
y[s_random.Next(y.Length)] = float.NaN;

// Same magnitude, opposite sign
int pos = s_random.Next(x.Length);
x[pos] = -5f;
y[pos] = 5f;

// Positive and negative 0s
pos = s_random.Next(x.Length);
x[pos] = 0f;
y[pos] = -0f;
SetSpecialValues(x, y);

TensorPrimitives.MaxMagnitude(x, y, destination);
for (int i = 0; i < tensorLength; i++)
Expand Down Expand Up @@ -1553,19 +1551,7 @@ public static void Min_TwoTensors_SpecialValues(int tensorLength)
using BoundedMemory<float> y = CreateAndFillTensor(tensorLength);
using BoundedMemory<float> destination = CreateTensor(tensorLength);

// NaNs
x[s_random.Next(x.Length)] = float.NaN;
y[s_random.Next(y.Length)] = float.NaN;

// Same magnitude, opposite sign
int pos = s_random.Next(x.Length);
x[pos] = -5f;
y[pos] = 5f;

// Positive and negative 0s
pos = s_random.Next(x.Length);
x[pos] = 0f;
y[pos] = -0f;
SetSpecialValues(x, y);

TensorPrimitives.Min(x, y, destination);
for (int i = 0; i < tensorLength; i++)
Expand Down Expand Up @@ -1708,19 +1694,7 @@ public static void MinMagnitude_TwoTensors_SpecialValues(int tensorLength)
using BoundedMemory<float> y = CreateAndFillTensor(tensorLength);
using BoundedMemory<float> destination = CreateTensor(tensorLength);

// NaNs
x[s_random.Next(x.Length)] = float.NaN;
y[s_random.Next(y.Length)] = float.NaN;

// Same magnitude, opposite sign
int pos = s_random.Next(x.Length);
x[pos] = -5f;
y[pos] = 5f;

// Positive and negative 0s
pos = s_random.Next(x.Length);
x[pos] = 0f;
y[pos] = -0f;
SetSpecialValues(x, y);

TensorPrimitives.MinMagnitude(x, y, destination);
for (int i = 0; i < tensorLength; i++)
Expand Down

0 comments on commit 5a68b1e

Please sign in to comment.