56 references to AsSingle
Microsoft.ML.CpuMath (1)
AvxIntrinsics.cs (1)
50private static readonly Vector256<float> _absMask256 = Vector256.Create(0x7FFFFFFF).AsSingle();
System.Numerics.Tensors (53)
System\Numerics\Tensors\netcore\TensorPrimitives.Cbrt.cs (1)
50return ExpOperator<float>.Invoke(LogOperator<float>.Invoke(x.AsSingle()) / Vector256.Create(3f)).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Ceiling.cs (1)
48return Vector256.Ceiling(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.ConvertHelpers.cs (5)
491Vector256<uint> absoluteValue = (bitValueInProcess.AsSingle() - maskedExponentLowerBound.AsSingle()).AsUInt32(); 494return (absoluteValue | sign).AsSingle(); 662Vector256<uint> exponentOffset0 = Vector256.Max(value, Vector256.Create(MinExp).AsSingle()).AsUInt32(); 671value += exponentOffset0.AsSingle();
System\Numerics\Tensors\netcore\TensorPrimitives.ConvertToInteger.cs (2)
61if (typeof(TTo) == typeof(int)) return Vector256.ConvertToInt32(x.AsSingle()).As<int, TTo>(); 62if (typeof(TTo) == typeof(uint)) return Vector256.ConvertToUInt32(x.AsSingle()).As<uint, TTo>();
System\Numerics\Tensors\netcore\TensorPrimitives.ConvertToIntegerNative.cs (2)
61if (typeof(TTo) == typeof(int)) return Vector256.ConvertToInt32Native(x.AsSingle()).As<int, TTo>(); 62if (typeof(TTo) == typeof(uint)) return Vector256.ConvertToUInt32Native(x.AsSingle()).As<uint, TTo>();
System\Numerics\Tensors\netcore\TensorPrimitives.Cos.cs (1)
103return Vector256.Cos(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Cosh.cs (1)
98Vector256<float> x = t.AsSingle();
System\Numerics\Tensors\netcore\TensorPrimitives.CosPi.cs (1)
72return ApplyScalar<CosPiOperator<float>>(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.DegreesToRadians.cs (1)
59return Vector256.DegreesToRadians(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Exp.cs (1)
77return Vector256.Exp(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Floor.cs (1)
48return Vector256.Floor(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.FusedMultiplyAdd.cs (3)
164return Vector256.FusedMultiplyAdd(x.AsSingle(), y.AsSingle(), z.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Hypot.cs (2)
63return Vector256.Hypot(x.AsSingle(), y.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.IndexOfMax.cs (3)
491if (typeof(T) == typeof(float)) return Avx2.BlendVariable(left.AsSingle(), right.AsSingle(), (~mask).AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Lerp.cs (3)
107return Vector256.Lerp(x.AsSingle(), y.AsSingle(), amount.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Log.cs (1)
119return Vector256.Log(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Log2.cs (1)
79return Vector256.Log2(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.MultiplyAddEstimate.cs (3)
166return Vector256.MultiplyAddEstimate(x.AsSingle(), y.AsSingle(), z.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Pow.cs (2)
83return ExpOperator<float>.Invoke(y.AsSingle() * LogOperator<float>.Invoke(x.AsSingle())).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.RadiansToDegrees.cs (1)
59return Vector256.RadiansToDegrees(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Reciprocal.cs (4)
129if (typeof(T) == typeof(float)) return Avx512F.VL.Reciprocal14(x.AsSingle()).As<float, T>(); 136if (typeof(T) == typeof(float)) return Avx.Reciprocal(x.AsSingle()).As<float, T>(); 195if (typeof(T) == typeof(float)) return Avx512F.VL.ReciprocalSqrt14(x.AsSingle()).As<float, T>(); 202if (typeof(T) == typeof(float)) return Avx.ReciprocalSqrt(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Remainder.cs (1)
82typeof(T) == typeof(float) ? x - (TruncateOperator<float>.Invoke((x / y).AsSingle()).As<float, T>() * y) :
System\Numerics\Tensors\netcore\TensorPrimitives.RootN.cs (1)
52return ExpOperator<float>.Invoke(LogOperator<float>.Invoke(x.AsSingle()) / Vector256.Create((float)_n)).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Round.cs (3)
208return Vector256.Round(x.AsSingle()).As<float, T>(); 271return TruncateOperator<float>.Invoke(x.AsSingle() + CopySignOperator<float>.Invoke(Vector256.Create(0.49999997f), x.AsSingle())).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Sin.cs (1)
93return Vector256.Sin(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Sinh.cs (1)
84Vector256<float> x = t.AsSingle();
System\Numerics\Tensors\netcore\TensorPrimitives.SinPi.cs (1)
72return ApplyScalar<SinPiOperator<float>>(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Tan.cs (3)
78return TanOperatorSingle.Invoke(x.AsSingle()).As<float, T>(); 185Vector256<float> result = (poly.AsUInt32() ^ (x.AsUInt32() & Vector256.Create(~SignMask))).AsSingle(); 186return Vector256.ConditionalSelect(Vector256.Equals(odd, Vector256<uint>.Zero).AsSingle(),
System\Numerics\Tensors\netcore\TensorPrimitives.Tanh.cs (1)
89Vector256<float> x = t.AsSingle();
System\Numerics\Tensors\netcore\TensorPrimitives.Truncate.cs (1)
79return Vector256.Truncate(x.AsSingle()).As<float, T>();
System.Private.CoreLib (2)
src\libraries\System.Private.CoreLib\src\System\Runtime\Intrinsics\Vector256.cs (2)
1963return VectorMath.IsEvenIntegerSingle<Vector256<float>, Vector256<uint>>(vector.AsSingle()).As<float, T>(); 2090return VectorMath.IsOddIntegerSingle<Vector256<float>, Vector256<uint>>(vector.AsSingle()).As<float, T>();