Tensor.CreateAndFillGaussianNormalDistribution Method
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
Overloads
CreateAndFillGaussianNormalDistribution<T>(ReadOnlySpan<IntPtr>) |
Creates a Tensor<T> and initializes it with random data in a gaussian normal distribution. |
CreateAndFillGaussianNormalDistribution<T>(Random, ReadOnlySpan<IntPtr>) |
Creates a Tensor<T> and initializes it with random data in a gaussian normal distribution. |
CreateAndFillGaussianNormalDistribution<T>(ReadOnlySpan<IntPtr>)
- Source:
- Tensor.Factory.cs
- Source:
- Tensor.Factory.cs
Creates a Tensor<T> and initializes it with random data in a gaussian normal distribution.
public:
generic <typename T>
where T : System::Numerics::IFloatingPoint<T> static System::Numerics::Tensors::Tensor<T> ^ CreateAndFillGaussianNormalDistribution(ReadOnlySpan<IntPtr> lengths);
public static System.Numerics.Tensors.Tensor<T> CreateAndFillGaussianNormalDistribution<T> (scoped ReadOnlySpan<IntPtr> lengths) where T : System.Numerics.IFloatingPoint<T>;
static member CreateAndFillGaussianNormalDistribution : ReadOnlySpan<nativeint> -> System.Numerics.Tensors.Tensor<'T (requires 'T :> System.Numerics.IFloatingPoint<'T>)> (requires 'T :> System.Numerics.IFloatingPoint<'T>)
Public Function CreateAndFillGaussianNormalDistribution(Of T As IFloatingPoint(Of T)) (lengths As ReadOnlySpan(Of IntPtr)) As Tensor(Of T)
Type Parameters
- T
Parameters
- lengths
-
ReadOnlySpan<nativeint>
A ReadOnlySpan<T> indicating the lengths of each dimension.
Returns
Applies to
CreateAndFillGaussianNormalDistribution<T>(Random, ReadOnlySpan<IntPtr>)
- Source:
- Tensor.Factory.cs
- Source:
- Tensor.Factory.cs
Creates a Tensor<T> and initializes it with random data in a gaussian normal distribution.
public:
generic <typename T>
where T : System::Numerics::IFloatingPoint<T> static System::Numerics::Tensors::Tensor<T> ^ CreateAndFillGaussianNormalDistribution(Random ^ random, ReadOnlySpan<IntPtr> lengths);
public static System.Numerics.Tensors.Tensor<T> CreateAndFillGaussianNormalDistribution<T> (Random random, scoped ReadOnlySpan<IntPtr> lengths) where T : System.Numerics.IFloatingPoint<T>;
static member CreateAndFillGaussianNormalDistribution : Random * ReadOnlySpan<nativeint> -> System.Numerics.Tensors.Tensor<'T (requires 'T :> System.Numerics.IFloatingPoint<'T>)> (requires 'T :> System.Numerics.IFloatingPoint<'T>)
Public Function CreateAndFillGaussianNormalDistribution(Of T As IFloatingPoint(Of T)) (random As Random, lengths As ReadOnlySpan(Of IntPtr)) As Tensor(Of T)
Type Parameters
- T
Parameters
- random
- Random
- lengths
-
ReadOnlySpan<nativeint>
A ReadOnlySpan<T> indicating the lengths of each dimension.