TensorInt32Bit Class

Definition

Namespace:

Windows.AI.MachineLearning

A 32-bit signed integer tensor object.

public ref class TensorInt32Bit sealed : ITensor, IClosable, IMemoryBuffer

/// [Windows.Foundation.Metadata.ContractVersion(Windows.AI.MachineLearning.MachineLearningContract, 65536)]
/// [Windows.Foundation.Metadata.MarshalingBehavior(Windows.Foundation.Metadata.MarshalingType.Agile)]
/// [Windows.Foundation.Metadata.Threading(Windows.Foundation.Metadata.ThreadingModel.Both)]
class TensorInt32Bit final : ITensor, IClosable, IMemoryBuffer

[Windows.Foundation.Metadata.ContractVersion(typeof(Windows.AI.MachineLearning.MachineLearningContract), 65536)]
[Windows.Foundation.Metadata.MarshalingBehavior(Windows.Foundation.Metadata.MarshalingType.Agile)]
[Windows.Foundation.Metadata.Threading(Windows.Foundation.Metadata.ThreadingModel.Both)]
public sealed class TensorInt32Bit : System.IDisposable, ITensor, IMemoryBuffer

Public NotInheritable Class TensorInt32Bit
Implements IDisposable, IMemoryBuffer, ITensor

Inheritance

Object Platform::Object IInspectable TensorInt32Bit

Attributes

ContractVersionAttribute MarshalingBehaviorAttribute ThreadingAttribute

Implements

ILearningModelFeatureValue ITensor IClosable IDisposable IMemoryBuffer

Windows requirements

Device family	Windows 10, version 1809 (introduced in 10.0.17763.0)
API contract	Windows.AI.MachineLearning.MachineLearningContract (introduced in v1.0)

Remarks

A tensor is a multi-dimensional array of values. A 32-bit signed integer tensor is a tensor of 32-bit signed integer values.

The layout of tensors is row-major, with tightly packed contiguous data representing each dimension. The total size of a tensor is the product of the size of each dimension.

Windows Server

To use this API on Windows Server, you must use Windows Server 2019 with Desktop Experience.

Thread safety

This API is thread-safe.

Version history

Windows version	SDK version	Value added
1903	18362	CreateFromBuffer
1903	18362	CreateFromShapeArrayAndDataArray

Properties

Kind	The kind of the feature.
Shape	Returns the count and size of each dimension.
TensorKind	Returns the data type of the tensor.

Methods

Close()	If there are no outstanding IMemoryBufferReference objects created from this object, Close will dispose of the object and destroy its associated resources. Otherwise, Close will detach itself from its associated resources and they will be destroyed when the last IMemoryBufferReference is closed.
Create()	Creates a 32-bit signed integer tensor object without allocating a buffer.
Create(IIterable<Int64>)	Creates a 32-bit signed integer tensor object and allocates a buffer of size shape.
CreateFromArray(IIterable<Int64>, Int32[])	Creates a 32-bit signed integer tensor object, allocates a buffer of size shape, and copies all of data into it.
CreateFromBuffer(Int64[], IBuffer)	Creates a 32-bit signed integer tensor object with the given shape and uses the underlying buffer in buffer for subsequent evaluation.
CreateFromIterable(IIterable<Int64>, IIterable<Int32>)	Creates a 32-bit signed integer tensor object, allocates a buffer of size shape, and copies all of data into it.
CreateFromShapeArrayAndDataArray(Int64[], Int32[])	Creates a 32-bit signed integer tensor object, allocates a buffer of size shape, and copies all of data into it.
CreateReference()	Returns an IMemoryBufferReference representation of the buffer backing the 32-bit signed integer tensor object.
Dispose()	Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources.
GetAsVectorView()	Returns a read-only view of the data.

See also

• Windows ML
• Windows ML samples (GitHub)