Tensor.Stack Method
Definition
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Overloads
| Name | Description |
|---|---|
| Stack<T>(ReadOnlySpan<Tensor<T>>) |
Join multiple Tensor<T> along a new dimension that is added at position 0. All tensors must have equivalent shapes. |
| Stack<T>(ReadOnlySpan<Tensor<T>>, TensorSpan<T>) |
Join multiple Tensor<T> along a new dimension that is added at position 0. All tensors must have equivalent shapes. |
Stack<T>(ReadOnlySpan<Tensor<T>>)
- Source:
- Tensor.cs
- Source:
- TensorExtensions.cs
- Source:
- Tensor.cs
Join multiple Tensor<T> along a new dimension that is added at position 0. All tensors must have equivalent shapes.
public:
generic <typename T>
static System::Numerics::Tensors::Tensor<T> ^ Stack(ReadOnlySpan<System::Numerics::Tensors::Tensor<T> ^> tensors);public static System.Numerics.Tensors.Tensor<T> Stack<T>(scoped ReadOnlySpan<System.Numerics.Tensors.Tensor<T>> tensors);static member Stack : ReadOnlySpan<System.Numerics.Tensors.Tensor<'T>> -> System.Numerics.Tensors.Tensor<'T>Public Function Stack(Of T) (tensors As ReadOnlySpan(Of Tensor(Of T))) As Tensor(Of T)Type Parameters
- T
Parameters
- tensors
- ReadOnlySpan<Tensor<T>>
Input Tensor<T>.
Returns
Remarks
Inputs are aligned to the first tensor's shape by adding or removing leading singleton dimensions. Rank-zero empty tensors have effective shape [0].
Applies to
Stack<T>(ReadOnlySpan<Tensor<T>>, TensorSpan<T>)
- Source:
- Tensor.cs
- Source:
- TensorExtensions.cs
- Source:
- Tensor.cs
Join multiple Tensor<T> along a new dimension that is added at position 0. All tensors must have equivalent shapes.
public:
generic <typename T>
static System::Numerics::Tensors::TensorSpan<T> ^ Stack(ReadOnlySpan<System::Numerics::Tensors::Tensor<T> ^> % tensors, System::Numerics::Tensors::TensorSpan<T> % destination);public static ref readonly System.Numerics.Tensors.TensorSpan<T> Stack<T>(scoped in ReadOnlySpan<System.Numerics.Tensors.Tensor<T>> tensors, in System.Numerics.Tensors.TensorSpan<T> destination);static member Stack : ReadOnlySpan * TensorSpan -> TensorSpanPublic Function Stack(Of T) (ByRef tensors As ReadOnlySpan(Of Tensor(Of T)), ByRef destination As TensorSpan(Of T)) As TensorSpan(Of T)Type Parameters
- T
Parameters
- tensors
- ReadOnlySpan<Tensor<T>>
Input Tensor<T>.
- destination
- TensorSpan<T>
Returns
Remarks
Inputs are aligned to the first tensor's shape by adding or removing leading singleton dimensions. The destination may differ from the result by leading singleton padding. Rank-zero empty tensors have effective shape [0].
