Class MetalMPSOrchestrator

Namespace

DotCompute.Backends.Metal.MPS

Assembly

DotCompute.Backends.Metal.dll

Intelligent orchestrator that automatically selects between MPS and custom kernels based on operation type, data size, and device capabilities.

public sealed class MetalMPSOrchestrator : IDisposable

Inheritance

object

MetalMPSOrchestrator

Implements

IDisposable

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.ReferenceEquals(object, object)

object.ToString()

Extension Methods

BufferExtensions.IsSafeToDispose(IDisposable)

BufferExtensions.SafeDispose(IDisposable)

Constructors

MetalMPSOrchestrator(nint, ILogger<MetalMPSOrchestrator>)

public MetalMPSOrchestrator(nint device, ILogger<MetalMPSOrchestrator> logger)

Parameters

device nint

logger ILogger<MetalMPSOrchestrator>

Properties

Metrics

Gets performance metrics for MPS vs CPU operations.

public PerformanceMetrics Metrics { get; }

Property Value

PerformanceMetrics

Methods

Convolution2D(ReadOnlySpan<float>, int, int, int, ReadOnlySpan<float>, int, int, int, Span<float>, int, int, int, int, int, int)

Performs convolution with automatic backend selection.

public void Convolution2D(ReadOnlySpan<float> input, int inputHeight, int inputWidth, int inputChannels, ReadOnlySpan<float> kernel, int kernelHeight, int kernelWidth, int outputChannels, Span<float> output, int outputHeight, int outputWidth, int strideY = 1, int strideX = 1, int paddingY = 0, int paddingX = 0)

Parameters

input ReadOnlySpan<float>

inputHeight int

inputWidth int

inputChannels int

kernel ReadOnlySpan<float>

kernelHeight int

kernelWidth int

outputChannels int

output Span<float>

outputHeight int

outputWidth int

strideY int

strideX int

paddingY int

paddingX int

Dispose()

Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources.

public void Dispose()

MatrixMultiply(ReadOnlySpan<float>, int, int, ReadOnlySpan<float>, int, int, Span<float>, int, int, float, float, bool, bool)

Performs matrix multiplication with automatic backend selection.

public void MatrixMultiply(ReadOnlySpan<float> a, int rowsA, int colsA, ReadOnlySpan<float> b, int rowsB, int colsB, Span<float> c, int rowsC, int colsC, float alpha = 1, float beta = 0, bool transposeA = false, bool transposeB = false)

Parameters

a ReadOnlySpan<float>

rowsA int

colsA int

b ReadOnlySpan<float>

rowsB int

colsB int

c Span<float>

rowsC int

colsC int

alpha float

beta float

transposeA bool

transposeB bool

ReLU(ReadOnlySpan<float>, Span<float>)

Applies ReLU activation with automatic backend selection.

public void ReLU(ReadOnlySpan<float> input, Span<float> output)

Parameters

input ReadOnlySpan<float>

output Span<float>