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LearningModelDeviceKind Enum

  • Reference

Definition

Namespace:
Windows.AI.MachineLearning
Edit

Defines the list of device kinds that can evaluate a machine learning model.

public enum class LearningModelDeviceKind
/// [Windows.Foundation.Metadata.ContractVersion(Windows.AI.MachineLearning.MachineLearningContract, 65536)]
enum class LearningModelDeviceKind
[Windows.Foundation.Metadata.ContractVersion(typeof(Windows.AI.MachineLearning.MachineLearningContract), 65536)]
public enum LearningModelDeviceKind
var value = Windows.AI.MachineLearning.LearningModelDeviceKind.default
Public Enum LearningModelDeviceKind
Inheritance
Enum
LearningModelDeviceKind
Attributes
ContractVersionAttribute

Windows requirements

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

Fields

Name Value Description
Default 0

Let the system decide which device to use.
Cpu 1

Use the CPU to evaluate the model.
DirectX 2

Use a GPU or other DirectX device to evaluate the model.
DirectXHighPerformance 3

Use the system policy-defined device for high performance.
DirectXMinPower 4

Use the system policy-defined device for minimum power.

Examples

The following example loads a model, selects the device on which to evaluate the model, and creates an evaluation session.

private async Task LoadModelAsync(string _modelFileName, bool _useGPU)
{
    LearningModel _model;
    LearningModelSession _session;

    try
    {
        // Load and create the model
        var modelFile = 
            await StorageFile.GetFileFromApplicationUriAsync(new Uri($"ms-appx:///Assets/{_modelFileName}"));
        _model = await LearningModel.LoadFromStorageFileAsync(modelFile);

        // Select the device to evaluate on
        LearningModelDevice device = null;
        if (_useGPU)
        {
            // Use a GPU or other DirectX device to evaluate the model.
            device = new LearningModelDevice(LearningModelDeviceKind.DirectX);
        }
        else
        {
            // Use the CPU to evaluate the model.
            device = new LearningModelDevice(LearningModelDeviceKind.Cpu);
        }

        // Create the evaluation session with the model and device.
        _session = new LearningModelSession(_model, device);

    }
    catch (Exception ex)
    {
        StatusBlock.Text = $"error: {ex.Message}";
        _model = null;
    }
}

Remarks

If not specified, the system will decide which device to use.

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.

Applies to

See also