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MLCompute Namespace

Classes

Name Description
MLCActivationDescriptor
MLCActivationLayer
MLCActivationTypeExtensions
MLCAdamOptimizer
MLCAdamWOptimizer
MLCArithmeticLayer
MLCArithmeticOperationExtensions
MLCBatchNormalizationLayer
MLCComparisonLayer
MLCComparisonOperationExtensions
MLCConcatenationLayer
MLCConvolutionDescriptor
MLCConvolutionLayer
MLCConvolutionTypeExtensions
MLCDevice
MLCDropoutLayer
MLCEmbeddingDescriptor
MLCEmbeddingLayer
MLCFullyConnectedLayer
MLCGatherLayer
MLCGradientClippingTypeExtensions
MLCGramMatrixLayer
MLCGraph
MLCGraphCompletionResult

This class holds the return values for an asynchronous operation.

MLCGroupNormalizationLayer
MLCInferenceGraph
MLCInstanceNormalizationLayer
MLCLayer
MLCLayerNormalizationLayer
MLCLossDescriptor
MLCLossLayer
MLCLossTypeExtensions
MLCLstmDescriptor
MLCLstmLayer
MLCLstmResultModeExtensions
MLCMatMulDescriptor
MLCMatMulLayer
MLCMultiheadAttentionDescriptor
MLCMultiheadAttentionLayer
MLCOptimizer
MLCOptimizerDescriptor
MLCPaddingLayer
MLCPaddingPolicyExtensions
MLCPaddingTypeExtensions
MLCPlatform
MLCPoolingDescriptor
MLCPoolingLayer
MLCPoolingTypeExtensions
MLCReductionLayer
MLCReductionTypeExtensions
MLCReshapeLayer
MLCRmsPropOptimizer
MLCSampleModeExtensions
MLCScatterLayer
MLCSelectionLayer
MLCSgdOptimizer
MLCSliceLayer
MLCSoftmaxLayer
MLCSoftmaxOperationExtensions
MLCSplitLayer
MLCTensor
MLCTensorData
MLCTensorDescriptor
MLCTensorOptimizerDeviceData
MLCTensorParameter
MLCTrainingGraph
MLCTransposeLayer
MLCUpsampleLayer
MLCYoloLossDescriptor
MLCYoloLossLayer

Enums

Name Description
MLCActivationType
MLCArithmeticOperation
MLCComparisonOperation
MLCConvolutionType
MLCDataType
MLCDeviceType
MLCExecutionOptions
MLCGradientClippingType
MLCGraphCompilationOptions
MLCLossType
MLCLstmResultMode
MLCPaddingPolicy
MLCPaddingType
MLCPoolingType
MLCRandomInitializerType
MLCReductionType
MLCRegularizationType
MLCSampleMode
MLCSoftmaxOperation

Delegates

Name Description
MLCGraphCompletionHandler