55 references to 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)
55return 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)
62Vector256.ConvertToInt32(x.AsSingle()).As<int, TTo>() : 63Vector256.ConvertToUInt32(x.AsSingle()).As<uint, TTo>();
System\Numerics\Tensors\netcore\TensorPrimitives.ConvertToIntegerNative.cs (2)
61Vector256.ConvertToInt32Native(x.AsSingle()).As<int, TTo>() : 62Vector256.ConvertToUInt32Native(x.AsSingle()).As<uint, TTo>();
System\Numerics\Tensors\netcore\TensorPrimitives.Cos.cs (1)
111return Vector256.Cos(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Cosh.cs (1)
105Vector256<float> x = t.AsSingle();
System\Numerics\Tensors\netcore\TensorPrimitives.CosPi.cs (1)
79return ApplyScalar<CosPiOperator<float>>(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.DegreesToRadians.cs (1)
66return Vector256.DegreesToRadians(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Exp.cs (1)
84return Vector256.Exp(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Floor.cs (1)
55return Vector256.Floor(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.FusedMultiplyAdd.cs (3)
187return Vector256.FusedMultiplyAdd(x.AsSingle(), y.AsSingle(), z.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Hypot.cs (2)
70return 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)
130return Vector256.Lerp(x.AsSingle(), y.AsSingle(), amount.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Log.cs (1)
140return Vector256.Log(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Log2.cs (1)
86return Vector256.Log2(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.MultiplyAddEstimate.cs (3)
189return 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)
157if (typeof(T) == typeof(float)) return Avx512F.VL.Reciprocal14(x.AsSingle()).As<float, T>(); 164if (typeof(T) == typeof(float)) return Avx.Reciprocal(x.AsSingle()).As<float, T>(); 223if (typeof(T) == typeof(float)) return Avx512F.VL.ReciprocalSqrt14(x.AsSingle()).As<float, T>(); 230if (typeof(T) == typeof(float)) return Avx.ReciprocalSqrt(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Remainder.cs (1)
103typeof(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)
220return Vector256.Round(x.AsSingle()).As<float, T>(); 283return 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)
100return Vector256.Sin(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Sinh.cs (1)
91Vector256<float> x = t.AsSingle();
System\Numerics\Tensors\netcore\TensorPrimitives.SinPi.cs (1)
79return ApplyScalar<SinPiOperator<float>>(x.AsSingle()).As<float, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Tan.cs (3)
85return TanOperatorSingle.Invoke(x.AsSingle()).As<float, T>(); 192Vector256<float> result = (poly.AsUInt32() ^ (x.AsUInt32() & Vector256.Create(~SignMask))).AsSingle(); 193return Vector256.ConditionalSelect(Vector256.Equals(odd, Vector256<uint>.Zero).AsSingle(),
System\Numerics\Tensors\netcore\TensorPrimitives.Tanh.cs (1)
96Vector256<float> x = t.AsSingle();
System\Numerics\Tensors\netcore\TensorPrimitives.Truncate.cs (1)
86return Vector256.Truncate(x.AsSingle()).As<float, T>();
System.Private.CoreLib (2)
src\libraries\System.Private.CoreLib\src\System\Runtime\Intrinsics\Vector256.cs (2)
1975return VectorMath.IsEvenIntegerSingle<Vector256<float>, Vector256<uint>>(vector.AsSingle()).As<float, T>(); 2102return VectorMath.IsOddIntegerSingle<Vector256<float>, Vector256<uint>>(vector.AsSingle()).As<float, T>();