TensorFeatureDescriptor Class

Reference

Definition

Namespace:: Windows.AI.MachineLearning

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.

Edit

Tensors are multi-dimensional arrays of values.

public ref class TensorFeatureDescriptor sealed : ILearningModelFeatureDescriptor

/// [Windows.Foundation.Metadata.ContractVersion(Windows.AI.MachineLearning.MachineLearningContract, 65536)]
/// [Windows.Foundation.Metadata.MarshalingBehavior(Windows.Foundation.Metadata.MarshalingType.Agile)]
class TensorFeatureDescriptor final : ILearningModelFeatureDescriptor

[Windows.Foundation.Metadata.ContractVersion(typeof(Windows.AI.MachineLearning.MachineLearningContract), 65536)]
[Windows.Foundation.Metadata.MarshalingBehavior(Windows.Foundation.Metadata.MarshalingType.Agile)]
public sealed class TensorFeatureDescriptor : ILearningModelFeatureDescriptor

Public NotInheritable Class TensorFeatureDescriptor
Implements ILearningModelFeatureDescriptor

Inheritance: Object Platform::Object IInspectable TensorFeatureDescriptor

Attributes: ContractVersionAttribute MarshalingBehaviorAttribute

Implements: ILearningModelFeatureDescriptor

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.

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.

Properties

Description	A description of what this feature is used for in the model.
IsRequired	If true, you must bind a value to this feature before calling LearningModelSession.Evaluate.
Kind	The kind of feature; use this to know which derived class to use.
Name	The name you use to bind values to this feature.
Shape	Returns the count and size of each dimension.
TensorKind	Returns the data type of the tensor.

Applies to

Share via