Tensor.Concatenate Method
Definition
Important
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Overloads
| Name | Description |
|---|---|
| Concatenate<T>(ReadOnlySpan<Tensor<T>>) |
Join a sequence of tensors along an existing axis. |
| Concatenate<T>(ReadOnlySpan<Tensor<T>>, TensorSpan<T>) |
Join a sequence of tensors along an existing axis. |
Concatenate<T>(ReadOnlySpan<Tensor<T>>)
- Source:
- Tensor.cs
- Source:
- TensorExtensions.cs
- Source:
- Tensor.cs
Join a sequence of tensors along an existing axis.
public:
generic <typename T>
static System::Numerics::Tensors::Tensor<T> ^ Concatenate(ReadOnlySpan<System::Numerics::Tensors::Tensor<T> ^> tensors);public static System.Numerics.Tensors.Tensor<T> Concatenate<T>(scoped ReadOnlySpan<System.Numerics.Tensors.Tensor<T>> tensors);static member Concatenate : ReadOnlySpan<System.Numerics.Tensors.Tensor<'T>> -> System.Numerics.Tensors.Tensor<'T>Public Function Concatenate(Of T) (tensors As ReadOnlySpan(Of Tensor(Of T))) As Tensor(Of T)Type Parameters
- T
Parameters
- tensors
- ReadOnlySpan<Tensor<T>>
The tensors must have the same shape, except in the dimension corresponding to axis (the first, by default).
Returns
Remarks
Leading singleton padding is ignored when aligning inputs to the first tensor's shape. Rank-zero empty tensors have effective shape [0].
Applies to
Concatenate<T>(ReadOnlySpan<Tensor<T>>, TensorSpan<T>)
- Source:
- Tensor.cs
- Source:
- TensorExtensions.cs
- Source:
- Tensor.cs
Join a sequence of tensors along an existing axis.
public:
generic <typename T>
static System::Numerics::Tensors::TensorSpan<T> ^ Concatenate(ReadOnlySpan<System::Numerics::Tensors::Tensor<T> ^> tensors, System::Numerics::Tensors::TensorSpan<T> % destination);public static ref readonly System.Numerics.Tensors.TensorSpan<T> Concatenate<T>(scoped ReadOnlySpan<System.Numerics.Tensors.Tensor<T>> tensors, in System.Numerics.Tensors.TensorSpan<T> destination);static member Concatenate : ReadOnlySpan<System.Numerics.Tensors.Tensor<'T>> * TensorSpan -> TensorSpanPublic Function Concatenate(Of T) (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>>
The tensors must have the same shape, except in the dimension corresponding to axis (the first, by default).
- destination
- TensorSpan<T>
Returns
Remarks
Inputs and the destination are aligned to the first tensor's effective shape by adding or removing leading singleton dimensions. Rank-zero empty tensors have effective shape [0].
