TensorPrimitives.Norm Method
Definition
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Overloads
Norm(ReadOnlySpan<Single>) |
Computes the Euclidean norm of the specified tensor of single-precision floating-point numbers. |
Norm<T>(ReadOnlySpan<T>) |
Computes the Euclidean norm of the specified tensor of numbers. |
Norm(ReadOnlySpan<Single>)
- Source:
- TensorPrimitives.cs
- Source:
- TensorPrimitives.Single.cs
- Source:
- TensorPrimitives.Single.cs
Computes the Euclidean norm of the specified tensor of single-precision floating-point numbers.
public:
static float Norm(ReadOnlySpan<float> x);
public static float Norm (ReadOnlySpan<float> x);
static member Norm : ReadOnlySpan<single> -> single
Public Shared Function Norm (x As ReadOnlySpan(Of Single)) As Single
Parameters
The first tensor, represented as a span.
Returns
The norm.
Remarks
This method effectively computes MathF.Sqrt(TensorPrimitives.SumOfSquares(x))
. This is often referred to as the Euclidean norm or L2 norm. It corresponds to the nrm2
method defined by BLAS1
.
If any of the input values is equal to NaN, the result value is also NaN.
This method may call into the underlying C runtime or employ instructions specific to the current architecture. Exact results may differ between different operating systems or architectures.
Applies to
Norm<T>(ReadOnlySpan<T>)
- Source:
- TensorPrimitives.Norm.cs
- Source:
- TensorPrimitives.Norm.cs
Computes the Euclidean norm of the specified tensor of numbers.
public:
generic <typename T>
where T : System::Numerics::IRootFunctions<T> static T Norm(ReadOnlySpan<T> x);
public static T Norm<T> (ReadOnlySpan<T> x) where T : System.Numerics.IRootFunctions<T>;
static member Norm : ReadOnlySpan<'T (requires 'T :> System.Numerics.IRootFunctions<'T>)> -> 'T (requires 'T :> System.Numerics.IRootFunctions<'T>)
Public Shared Function Norm(Of T As IRootFunctions(Of T)) (x As ReadOnlySpan(Of T)) As T
Type Parameters
- T
Parameters
The first tensor, represented as a span.
Returns
The norm.
Remarks
This method effectively computes
. This is often referred to as the Euclidean norm or L2 norm. It corresponds to the T
.Sqrt(TensorPrimitives.SumOfSquares(x))nrm2
method defined by BLAS1
.
If any of the input values is equal to NaN, the result value is also NaN.
This method may call into the underlying C runtime or employ instructions specific to the current architecture. Exact results may differ between different operating systems or architectures.