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IReadOnlyTensor<TSelf,T> Interface

Definition

Represents a read-only tensor.

generic <typename TSelf, typename T>
 where TSelf : IReadOnlyTensor<TSelf, T>public interface class IReadOnlyTensor : System::Numerics::Tensors::IReadOnlyTensor
public interface IReadOnlyTensor<TSelf,T> : System.Numerics.Tensors.IReadOnlyTensor where TSelf : IReadOnlyTensor<TSelf,T>, allows ref struct
public interface IReadOnlyTensor<TSelf,T> : System.Numerics.Tensors.IReadOnlyTensor where TSelf : IReadOnlyTensor<TSelf,T>
type IReadOnlyTensor<'Self, 'T (requires 'Self :> IReadOnlyTensor<'Self, 'T>)> = interface
    interface IReadOnlyTensor
Public Interface IReadOnlyTensor(Of TSelf, T)
Implements IReadOnlyTensor

Type Parameters

TSelf

The type that implements this interface.

T

The element type.

Derived
Implements

Properties

Empty

Gets an empty tensor.

FlattenedLength

Gets the total number of items in the tensor.

(Inherited from IReadOnlyTensor)
HasAnyDenseDimensions

Gets a value that indicates whether the current tensor has any dimension span where IsDense is true.

(Inherited from IReadOnlyTensor)
IsDense

Gets a value that indicates whether the current tensor is dense.

(Inherited from IReadOnlyTensor)
IsEmpty

Gets a value indicating whether this tensor is empty.

(Inherited from IReadOnlyTensor)
IsPinned

Gets a value that indicates whether the underlying buffer is pinned.

(Inherited from IReadOnlyTensor)
Item[ReadOnlySpan<IntPtr>]

Gets a reference to the specified element of the tensor.

Item[ReadOnlySpan<NIndex>]

Gets the value at the specified indexes.

Item[ReadOnlySpan<NRange>]

Gets the values at the specified ranges.

Lengths

Gets the length of each dimension in the tensor.

(Inherited from IReadOnlyTensor)
Rank

Gets the rank, or number of dimensions, in the tensor.

(Inherited from IReadOnlyTensor)
Strides

Gets the stride of each dimension in the tensor.

(Inherited from IReadOnlyTensor)

Methods

AsReadOnlyTensorSpan()

Creates a new readonly tensor span over the tensor.

AsReadOnlyTensorSpan(ReadOnlySpan<IntPtr>)

Creates a new readonly tensor span over a portion of the tensor starting at a specified position to the end of the tensor.

AsReadOnlyTensorSpan(ReadOnlySpan<NIndex>)

Creates a read-only tensor span for the specified start indexes.

AsReadOnlyTensorSpan(ReadOnlySpan<NRange>)

Creates a new readonly tensor span over a portion of the tensor defined by the specified range.

CopyTo(TensorSpan<T>)

Copies the contents of the tensor into a destination tensor span.

FlattenTo(Span<T>)

Flattens the contents of the tensor into a destination span.

GetDimensionSpan(Int32)

Returns a span that can be used to access the flattened elements for a given dimension.

GetPinnableReference()

Returns a reference to an object of type T that can be used for pinning.

GetSpan(ReadOnlySpan<IntPtr>, Int32)

Return a span that starts at the specified index and contains the specified number of items.

GetSpan(ReadOnlySpan<NIndex>, Int32)

Return a span that starts at the specified index and contains the specified number of items.

Slice(ReadOnlySpan<IntPtr>)

Forms a slice out of the current tensor that begins at a specified index.

Slice(ReadOnlySpan<NIndex>)

Slices the tensor using the specified start indexes.

Slice(ReadOnlySpan<NRange>)

Gets a slice out of the current tensor that contains a specified range.

ToDenseTensor()

Creates a dense tensor from the elements of the current tensor.

TryCopyTo(TensorSpan<T>)

Attempts to copy the contents of this tensor into a destination tensor span and returns a value to indicate whether or not the operation succeeded.

TryFlattenTo(Span<T>)

Attempts to flatten the contents of this tensor into a destination span and returns a value to indicate whether or not the operation succeeded.

TryGetSpan(ReadOnlySpan<IntPtr>, Int32, ReadOnlySpan<T>)

Tries to return a span that starts at the specified index and contains the specified number of items.

TryGetSpan(ReadOnlySpan<NIndex>, Int32, ReadOnlySpan<T>)

Tries to return a span that starts at the specified index and contains the specified number of items.

Applies to