MLCompute macOS 10.15.6 to 11.0 API Differences

MLCActivationDescriptor.h
Added MLCActivationDescriptor
Added MLCActivationDescriptor.activationType
Added MLCActivationDescriptor.a
Added MLCActivationDescriptor.b
Added MLCActivationDescriptor.c
Added +[MLCActivationDescriptor descriptorWithType:]
Added +[MLCActivationDescriptor descriptorWithType:a:]
Added +[MLCActivationDescriptor descriptorWithType:a:b:]
Added +[MLCActivationDescriptor descriptorWithType:a:b:c:]
MLCActivationLayer.h
Added MLCActivationLayer
Added MLCActivationLayer.descriptor
Added +[MLCActivationLayer layerWithDescriptor:]
Added MLCActivationLayer.reluLayer
Added MLCActivationLayer.relu6Layer
Added MLCActivationLayer.leakyReLULayer
Added +[MLCActivationLayer leakyReLULayerWithNegativeSlope:]
Added +[MLCActivationLayer linearLayerWithScale:bias:]
Added MLCActivationLayer.sigmoidLayer
Added MLCActivationLayer.hardSigmoidLayer
Added MLCActivationLayer.tanhLayer
Added MLCActivationLayer.absoluteLayer
Added MLCActivationLayer.softPlusLayer
Added +[MLCActivationLayer softPlusLayerWithBeta:]
Added MLCActivationLayer.softSignLayer
Added MLCActivationLayer.eluLayer
Added +[MLCActivationLayer eluLayerWithA:]
Added +[MLCActivationLayer relunLayerWithA:b:]
Added MLCActivationLayer.logSigmoidLayer
Added MLCActivationLayer.seluLayer
Added MLCActivationLayer.celuLayer
Added +[MLCActivationLayer celuLayerWithA:]
Added MLCActivationLayer.hardShrinkLayer
Added +[MLCActivationLayer hardShrinkLayerWithA:]
Added MLCActivationLayer.softShrinkLayer
Added +[MLCActivationLayer softShrinkLayerWithA:]
Added MLCActivationLayer.tanhShrinkLayer
Added +[MLCActivationLayer thresholdLayerWithThreshold:replacement:]
Added MLCActivationLayer.geluLayer
MLCAdamOptimizer.h
Added MLCAdamOptimizer
Added MLCAdamOptimizer.beta1
Added MLCAdamOptimizer.beta2
Added MLCAdamOptimizer.epsilon
Added MLCAdamOptimizer.timeStep
Added +[MLCAdamOptimizer optimizerWithDescriptor:]
Added +[MLCAdamOptimizer optimizerWithDescriptor:beta1:beta2:epsilon:timeStep:]
MLCArithmeticLayer.h
Added MLCArithmeticLayer
Added MLCArithmeticLayer.operation
Added +[MLCArithmeticLayer layerWithOperation:]
MLCBatchNormalizationLayer.h
Added MLCBatchNormalizationLayer
Added MLCBatchNormalizationLayer.featureChannelCount
Added MLCBatchNormalizationLayer.mean
Added MLCBatchNormalizationLayer.variance
Added MLCBatchNormalizationLayer.beta
Added MLCBatchNormalizationLayer.gamma
Added MLCBatchNormalizationLayer.betaParameter
Added MLCBatchNormalizationLayer.gammaParameter
Added MLCBatchNormalizationLayer.varianceEpsilon
Added MLCBatchNormalizationLayer.momentum
Added +[MLCBatchNormalizationLayer layerWithFeatureChannelCount:mean:variance:beta:gamma:varianceEpsilon:]
Added +[MLCBatchNormalizationLayer layerWithFeatureChannelCount:mean:variance:beta:gamma:varianceEpsilon:momentum:]
MLCConcatenationLayer.h
Added MLCConcatenationLayer
Added MLCConcatenationLayer.dimension
Added +[MLCConcatenationLayer layer]
Added +[MLCConcatenationLayer layerWithDimension:]
MLCConvolutionDescriptor.h
Added MLCConvolutionDescriptor
Added MLCConvolutionDescriptor.convolutionType
Added MLCConvolutionDescriptor.kernelWidth
Added MLCConvolutionDescriptor.kernelHeight
Added MLCConvolutionDescriptor.inputFeatureChannelCount
Added MLCConvolutionDescriptor.outputFeatureChannelCount
Added MLCConvolutionDescriptor.strideInX
Added MLCConvolutionDescriptor.strideInY
Added MLCConvolutionDescriptor.dilationRateInX
Added MLCConvolutionDescriptor.dilationRateInY
Added MLCConvolutionDescriptor.groupCount
Added MLCConvolutionDescriptor.paddingPolicy
Added MLCConvolutionDescriptor.paddingSizeInX
Added MLCConvolutionDescriptor.paddingSizeInY
Added MLCConvolutionDescriptor.isConvolutionTranspose
Added MLCConvolutionDescriptor.usesDepthwiseConvolution
Added +[MLCConvolutionDescriptor descriptorWithType:kernelSizes:inputFeatureChannelCount:outputFeatureChannelCount:groupCount:strides:dilationRates:paddingPolicy:paddingSizes:]
Added +[MLCConvolutionDescriptor descriptorWithKernelWidth:kernelHeight:inputFeatureChannelCount:outputFeatureChannelCount:]
Added +[MLCConvolutionDescriptor descriptorWithKernelSizes:inputFeatureChannelCount:outputFeatureChannelCount:strides:paddingPolicy:paddingSizes:]
Added +[MLCConvolutionDescriptor descriptorWithKernelSizes:inputFeatureChannelCount:outputFeatureChannelCount:groupCount:strides:dilationRates:paddingPolicy:paddingSizes:]
Added +[MLCConvolutionDescriptor convolutionTransposeDescriptorWithKernelWidth:kernelHeight:inputFeatureChannelCount:outputFeatureChannelCount:]
Added +[MLCConvolutionDescriptor convolutionTransposeDescriptorWithKernelSizes:inputFeatureChannelCount:outputFeatureChannelCount:strides:paddingPolicy:paddingSizes:]
Added +[MLCConvolutionDescriptor convolutionTransposeDescriptorWithKernelSizes:inputFeatureChannelCount:outputFeatureChannelCount:groupCount:strides:dilationRates:paddingPolicy:paddingSizes:]
Added +[MLCConvolutionDescriptor depthwiseConvolutionDescriptorWithKernelWidth:kernelHeight:inputFeatureChannelCount:channelMultiplier:]
Added +[MLCConvolutionDescriptor depthwiseConvolutionDescriptorWithKernelSizes:inputFeatureChannelCount:channelMultiplier:strides:paddingPolicy:paddingSizes:]
Added +[MLCConvolutionDescriptor depthwiseConvolutionDescriptorWithKernelSizes:inputFeatureChannelCount:channelMultiplier:strides:dilationRates:paddingPolicy:paddingSizes:]
MLCConvolutionLayer.h
Added MLCConvolutionLayer
Added MLCConvolutionLayer.descriptor
Added MLCConvolutionLayer.weights
Added MLCConvolutionLayer.biases
Added MLCConvolutionLayer.weightsParameter
Added MLCConvolutionLayer.biasesParameter
Added +[MLCConvolutionLayer layerWithWeights:biases:descriptor:]
MLCDefines.h
Added #def MLCOMPUTE_ENUM_AVAILABLE_STARTING
Added #def MLCOMPUTE_ENUM_AVAILABLE_STARTING_BUT_DEPRECATED
Added #def MLCOMPUTE_CLASS_AVAILABLE_STARTING
Added #def MLCOMPUTE_PROTOCOL_AVAILABLE_STARTING
Added #def MLCOMPUTE_AVAILABLE_STARTING
Added #def MLCOMPUTE_AVAILABLE_STARTING_BUT_DEPRECATED
Added #def MLCOMPUTE_UNAVAILABLE
MLCDevice.h
Added MLCDevice
Added MLCDevice.type
Added MLCDevice.gpuDevices
Added +[MLCDevice cpuDevice]
Added +[MLCDevice gpuDevice]
Added +[MLCDevice deviceWithType:]
Added +[MLCDevice deviceWithType:selectsMultipleComputeDevices:]
Added +[MLCDevice deviceWithGPUDevices:]
MLCDropoutLayer.h
Added MLCDropoutLayer
Added MLCDropoutLayer.rate
Added MLCDropoutLayer.seed
Added +[MLCDropoutLayer layerWithRate:seed:]
MLCEmbeddingDescriptor.h
Added MLCEmbeddingDescriptor
Added MLCEmbeddingDescriptor.embeddingCount
Added MLCEmbeddingDescriptor.embeddingDimension
Added MLCEmbeddingDescriptor.paddingIndex
Added MLCEmbeddingDescriptor.maximumNorm
Added MLCEmbeddingDescriptor.pNorm
Added MLCEmbeddingDescriptor.scalesGradientByFrequency
Added +[MLCEmbeddingDescriptor descriptorWithEmbeddingCount:embeddingDimension:]
Added +[MLCEmbeddingDescriptor descriptorWithEmbeddingCount:embeddingDimension:paddingIndex:maximumNorm:pNorm:scalesGradientByFrequency:]
MLCEmbeddingLayer.h
Added MLCEmbeddingLayer
Added MLCEmbeddingLayer.descriptor
Added MLCEmbeddingLayer.weights
Added MLCEmbeddingLayer.weightsParameter
Added +[MLCEmbeddingLayer layerWithDescriptor:weights:]
MLCFullyConnectedLayer.h
Added MLCFullyConnectedLayer
Added MLCFullyConnectedLayer.descriptor
Added MLCFullyConnectedLayer.weights
Added MLCFullyConnectedLayer.biases
Added MLCFullyConnectedLayer.weightsParameter
Added MLCFullyConnectedLayer.biasesParameter
Added +[MLCFullyConnectedLayer layerWithWeights:biases:descriptor:]
MLCGramMatrixLayer.h
Added MLCGramMatrixLayer
Added MLCGramMatrixLayer.scale
Added +[MLCGramMatrixLayer layerWithScale:]
MLCGraph.h
Added MLCGraph
Added MLCGraph.device
Added MLCGraph.layers
Added +[MLCGraph graph]
Added MLCGraph.summarizedDOTDescription
Added -[MLCGraph nodeWithLayer:source:]
Added -[MLCGraph nodeWithLayer:sources:]
Added -[MLCGraph nodeWithLayer:sources:disableUpdate:]
Added -[MLCGraph nodeWithLayer:sources:lossLabels:]
Added -[MLCGraph splitWithSource:splitCount:dimension:]
Added -[MLCGraph splitWithSource:splitSectionLengths:dimension:]
Added -[MLCGraph concatenateWithSources:dimension:]
Added -[MLCGraph reshapeWithShape:source:]
Added -[MLCGraph transposeWithDimensions:source:]
Added -[MLCGraph bindAndWriteData:forInputs:toDevice:batchSize:synchronous:]
Added -[MLCGraph bindAndWriteData:forInputs:toDevice:synchronous:]
Added -[MLCGraph sourceTensorsForLayer:]
Added -[MLCGraph resultTensorsForLayer:]
MLCGroupNormalizationLayer.h
Added MLCGroupNormalizationLayer
Added MLCGroupNormalizationLayer.featureChannelCount
Added MLCGroupNormalizationLayer.groupCount
Added MLCGroupNormalizationLayer.beta
Added MLCGroupNormalizationLayer.gamma
Added MLCGroupNormalizationLayer.betaParameter
Added MLCGroupNormalizationLayer.gammaParameter
Added MLCGroupNormalizationLayer.varianceEpsilon
Added +[MLCGroupNormalizationLayer layerWithFeatureChannelCount:groupCount:beta:gamma:varianceEpsilon:]
MLCInferenceGraph.h
Added MLCInferenceGraph
Added MLCInferenceGraph.deviceMemorySize
Added +[MLCInferenceGraph graphWithGraphObjects:]
Added -[MLCInferenceGraph addInputs:]
Added -[MLCInferenceGraph addInputs:lossLabels:lossLabelWeights:]
Added -[MLCInferenceGraph addOutputs:]
Added -[MLCInferenceGraph compileWithOptions:device:]
Added -[MLCInferenceGraph linkWithGraphs:]
Added -[MLCInferenceGraph executeWithInputsData:batchSize:options:completionHandler:]
Added -[MLCInferenceGraph executeWithInputsData:outputsData:batchSize:options:completionHandler:]
Added -[MLCInferenceGraph executeWithInputsData:lossLabelsData:lossLabelWeightsData:batchSize:options:completionHandler:]
Added -[MLCInferenceGraph executeWithInputsData:lossLabelsData:lossLabelWeightsData:outputsData:batchSize:options:completionHandler:]
MLCInstanceNormalizationLayer.h
Added MLCInstanceNormalizationLayer
Added MLCInstanceNormalizationLayer.featureChannelCount
Added MLCInstanceNormalizationLayer.beta
Added MLCInstanceNormalizationLayer.gamma
Added MLCInstanceNormalizationLayer.betaParameter
Added MLCInstanceNormalizationLayer.gammaParameter
Added MLCInstanceNormalizationLayer.varianceEpsilon
Added MLCInstanceNormalizationLayer.momentum
Added +[MLCInstanceNormalizationLayer layerWithFeatureChannelCount:beta:gamma:varianceEpsilon:]
Added +[MLCInstanceNormalizationLayer layerWithFeatureChannelCount:beta:gamma:varianceEpsilon:momentum:]
MLCLayer.h
Added MLCLayer
Added MLCLayer.layerID
Added MLCLayer.label
Added MLCLayer.isDebuggingEnabled
Added +[MLCLayer supportsDataType:onDevice:]
MLCLayerNormalizationLayer.h
Added MLCLayerNormalizationLayer
Added MLCLayerNormalizationLayer.normalizedShape
Added MLCLayerNormalizationLayer.beta
Added MLCLayerNormalizationLayer.gamma
Added MLCLayerNormalizationLayer.betaParameter
Added MLCLayerNormalizationLayer.gammaParameter
Added MLCLayerNormalizationLayer.varianceEpsilon
Added +[MLCLayerNormalizationLayer layerWithNormalizedShape:beta:gamma:varianceEpsilon:]
MLCLossDescriptor.h
Added MLCLossDescriptor
Added MLCLossDescriptor.lossType
Added MLCLossDescriptor.reductionType
Added MLCLossDescriptor.weight
Added MLCLossDescriptor.labelSmoothing
Added MLCLossDescriptor.classCount
Added MLCLossDescriptor.epsilon
Added MLCLossDescriptor.delta
Added +[MLCLossDescriptor descriptorWithType:reductionType:]
Added +[MLCLossDescriptor descriptorWithType:reductionType:weight:]
Added +[MLCLossDescriptor descriptorWithType:reductionType:weight:labelSmoothing:classCount:]
Added +[MLCLossDescriptor descriptorWithType:reductionType:weight:labelSmoothing:classCount:epsilon:delta:]
MLCLossLayer.h
Added MLCLossLayer
Added MLCLossLayer.descriptor
Added MLCLossLayer.weights
Added +[MLCLossLayer layerWithDescriptor:]
Added +[MLCLossLayer layerWithDescriptor:weights:]
Added +[MLCLossLayer softmaxCrossEntropyLossWithReductionType:labelSmoothing:classCount:weight:]
Added +[MLCLossLayer softmaxCrossEntropyLossWithReductionType:labelSmoothing:classCount:weights:]
Added +[MLCLossLayer categoricalCrossEntropyLossWithReductionType:labelSmoothing:classCount:weight:]
Added +[MLCLossLayer categoricalCrossEntropyLossWithReductionType:labelSmoothing:classCount:weights:]
Added +[MLCLossLayer sigmoidCrossEntropyLossWithReductionType:labelSmoothing:weight:]
Added +[MLCLossLayer sigmoidCrossEntropyLossWithReductionType:labelSmoothing:weights:]
Added +[MLCLossLayer logLossWithReductionType:epsilon:weight:]
Added +[MLCLossLayer logLossWithReductionType:epsilon:weights:]
Added +[MLCLossLayer huberLossWithReductionType:delta:weight:]
Added +[MLCLossLayer huberLossWithReductionType:delta:weights:]
Added +[MLCLossLayer meanAbsoluteErrorLossWithReductionType:weight:]
Added +[MLCLossLayer meanAbsoluteErrorLossWithReductionType:weights:]
Added +[MLCLossLayer meanSquaredErrorLossWithReductionType:weight:]
Added +[MLCLossLayer meanSquaredErrorLossWithReductionType:weights:]
Added +[MLCLossLayer hingeLossWithReductionType:weight:]
Added +[MLCLossLayer hingeLossWithReductionType:weights:]
Added +[MLCLossLayer cosineDistanceLossWithReductionType:weight:]
Added +[MLCLossLayer cosineDistanceLossWithReductionType:weights:]
MLCLSTMDescriptor.h
Added MLCLSTMDescriptor
Added MLCLSTMDescriptor.inputSize
Added MLCLSTMDescriptor.hiddenSize
Added MLCLSTMDescriptor.layerCount
Added MLCLSTMDescriptor.usesBiases
Added MLCLSTMDescriptor.batchFirst
Added MLCLSTMDescriptor.isBidirectional
Added MLCLSTMDescriptor.returnsSequences
Added MLCLSTMDescriptor.dropout
Added MLCLSTMDescriptor.resultMode
Added +[MLCLSTMDescriptor descriptorWithInputSize:hiddenSize:layerCount:]
Added +[MLCLSTMDescriptor descriptorWithInputSize:hiddenSize:layerCount:usesBiases:isBidirectional:dropout:]
Added +[MLCLSTMDescriptor descriptorWithInputSize:hiddenSize:layerCount:usesBiases:batchFirst:isBidirectional:dropout:]
Added +[MLCLSTMDescriptor descriptorWithInputSize:hiddenSize:layerCount:usesBiases:batchFirst:isBidirectional:returnsSequences:dropout:]
Added +[MLCLSTMDescriptor descriptorWithInputSize:hiddenSize:layerCount:usesBiases:batchFirst:isBidirectional:returnsSequences:dropout:resultMode:]
MLCLSTMLayer.h
Added MLCLSTMLayer
Added MLCLSTMLayer.descriptor
Added MLCLSTMLayer.gateActivations
Added MLCLSTMLayer.outputResultActivation
Added MLCLSTMLayer.inputWeights
Added MLCLSTMLayer.hiddenWeights
Added MLCLSTMLayer.peepholeWeights
Added MLCLSTMLayer.biases
Added MLCLSTMLayer.inputWeightsParameters
Added MLCLSTMLayer.hiddenWeightsParameters
Added MLCLSTMLayer.peepholeWeightsParameters
Added MLCLSTMLayer.biasesParameters
Added +[MLCLSTMLayer layerWithDescriptor:inputWeights:hiddenWeights:biases:]
Added +[MLCLSTMLayer layerWithDescriptor:inputWeights:hiddenWeights:peepholeWeights:biases:]
Added +[MLCLSTMLayer layerWithDescriptor:inputWeights:hiddenWeights:peepholeWeights:biases:gateActivations:outputResultActivation:]
MLCMatMulDescriptor.h
Added MLCMatMulDescriptor
Added MLCMatMulDescriptor.alpha
Added MLCMatMulDescriptor.transposesX
Added MLCMatMulDescriptor.transposesY
Added +[MLCMatMulDescriptor descriptorWithAlpha:transposesX:transposesY:]
Added +[MLCMatMulDescriptor descriptor]
MLCMatMulLayer.h
Added MLCMatMulLayer
Added MLCMatMulLayer.descriptor
Added +[MLCMatMulLayer layerWithDescriptor:]
MLCMultiheadAttentionDescriptor.h
Added MLCMultiheadAttentionDescriptor
Added MLCMultiheadAttentionDescriptor.modelDimension
Added MLCMultiheadAttentionDescriptor.keyDimension
Added MLCMultiheadAttentionDescriptor.valueDimension
Added MLCMultiheadAttentionDescriptor.headCount
Added MLCMultiheadAttentionDescriptor.dropout
Added MLCMultiheadAttentionDescriptor.hasBiases
Added MLCMultiheadAttentionDescriptor.hasAttentionBiases
Added MLCMultiheadAttentionDescriptor.addsZeroAttention
Added +[MLCMultiheadAttentionDescriptor descriptorWithModelDimension:keyDimension:valueDimension:headCount:dropout:hasBiases:hasAttentionBiases:addsZeroAttention:]
Added +[MLCMultiheadAttentionDescriptor descriptorWithModelDimension:headCount:]
MLCMultiheadAttentionLayer.h
Added MLCMultiheadAttentionLayer
Added MLCMultiheadAttentionLayer.descriptor
Added MLCMultiheadAttentionLayer.weights
Added MLCMultiheadAttentionLayer.biases
Added MLCMultiheadAttentionLayer.attentionBiases
Added MLCMultiheadAttentionLayer.weightsParameters
Added MLCMultiheadAttentionLayer.biasesParameters
Added +[MLCMultiheadAttentionLayer layerWithDescriptor:weights:biases:attentionBiases:]
MLCOptimizer.h
Added MLCOptimizer
Added MLCOptimizer.learningRate
Added MLCOptimizer.gradientRescale
Added MLCOptimizer.appliesGradientClipping
Added MLCOptimizer.gradientClipMax
Added MLCOptimizer.gradientClipMin
Added MLCOptimizer.regularizationScale
Added MLCOptimizer.regularizationType
MLCOptimizerDescriptor.h
Added MLCOptimizerDescriptor
Added MLCOptimizerDescriptor.learningRate
Added MLCOptimizerDescriptor.gradientRescale
Added MLCOptimizerDescriptor.appliesGradientClipping
Added MLCOptimizerDescriptor.gradientClipMax
Added MLCOptimizerDescriptor.gradientClipMin
Added MLCOptimizerDescriptor.regularizationScale
Added MLCOptimizerDescriptor.regularizationType
Added +[MLCOptimizerDescriptor descriptorWithLearningRate:gradientRescale:regularizationType:regularizationScale:]
Added +[MLCOptimizerDescriptor descriptorWithLearningRate:gradientRescale:appliesGradientClipping:gradientClipMax:gradientClipMin:regularizationType:regularizationScale:]
MLCPaddingLayer.h
Added MLCPaddingLayer
Added MLCPaddingLayer.paddingType
Added MLCPaddingLayer.paddingLeft
Added MLCPaddingLayer.paddingRight
Added MLCPaddingLayer.paddingTop
Added MLCPaddingLayer.paddingBottom
Added MLCPaddingLayer.constantValue
Added +[MLCPaddingLayer layerWithReflectionPadding:]
Added +[MLCPaddingLayer layerWithSymmetricPadding:]
Added +[MLCPaddingLayer layerWithZeroPadding:]
Added +[MLCPaddingLayer layerWithConstantPadding:constantValue:]
MLCPoolingDescriptor.h
Added MLCPoolingDescriptor
Added MLCPoolingDescriptor.poolingType
Added MLCPoolingDescriptor.kernelWidth
Added MLCPoolingDescriptor.kernelHeight
Added MLCPoolingDescriptor.strideInX
Added MLCPoolingDescriptor.strideInY
Added MLCPoolingDescriptor.dilationRateInX
Added MLCPoolingDescriptor.dilationRateInY
Added MLCPoolingDescriptor.paddingPolicy
Added MLCPoolingDescriptor.paddingSizeInX
Added MLCPoolingDescriptor.paddingSizeInY
Added MLCPoolingDescriptor.countIncludesPadding
Added +[MLCPoolingDescriptor poolingDescriptorWithType:kernelSize:stride:]
Added +[MLCPoolingDescriptor maxPoolingDescriptorWithKernelSizes:strides:paddingPolicy:paddingSizes:]
Added +[MLCPoolingDescriptor maxPoolingDescriptorWithKernelSizes:strides:dilationRates:paddingPolicy:paddingSizes:]
Added +[MLCPoolingDescriptor averagePoolingDescriptorWithKernelSizes:strides:paddingPolicy:paddingSizes:countIncludesPadding:]
Added +[MLCPoolingDescriptor averagePoolingDescriptorWithKernelSizes:strides:dilationRates:paddingPolicy:paddingSizes:countIncludesPadding:]
Added +[MLCPoolingDescriptor l2NormPoolingDescriptorWithKernelSizes:strides:paddingPolicy:paddingSizes:]
Added +[MLCPoolingDescriptor l2NormPoolingDescriptorWithKernelSizes:strides:dilationRates:paddingPolicy:paddingSizes:]
MLCPoolingLayer.h
Added MLCPoolingLayer
Added MLCPoolingLayer.descriptor
Added +[MLCPoolingLayer layerWithDescriptor:]
MLCReductionLayer.h
Added MLCReductionLayer
Added MLCReductionLayer.reductionType
Added MLCReductionLayer.dimension
Added +[MLCReductionLayer layerWithReductionType:dimension:]
MLCReshapeLayer.h
Added MLCReshapeLayer
Added +[MLCReshapeLayer layerWithShape:]
MLCRMSPropOptimizer.h
Added MLCRMSPropOptimizer
Added MLCRMSPropOptimizer.momentumScale
Added MLCRMSPropOptimizer.alpha
Added MLCRMSPropOptimizer.epsilon
Added MLCRMSPropOptimizer.isCentered
Added +[MLCRMSPropOptimizer optimizerWithDescriptor:]
Added +[MLCRMSPropOptimizer optimizerWithDescriptor:momentumScale:alpha:epsilon:isCentered:]
MLCSGDOptimizer.h
Added MLCSGDOptimizer
Added MLCSGDOptimizer.momentumScale
Added MLCSGDOptimizer.usesNesterovMomentum
Added +[MLCSGDOptimizer optimizerWithDescriptor:]
Added +[MLCSGDOptimizer optimizerWithDescriptor:momentumScale:usesNesterovMomentum:]
MLCSliceLayer.h
Added MLCSliceLayer
Added MLCSliceLayer.start
Added MLCSliceLayer.end
Added MLCSliceLayer.stride
Added +[MLCSliceLayer sliceLayerWithStart:end:stride:]
MLCSoftmaxLayer.h
Added MLCSoftmaxLayer
Added MLCSoftmaxLayer.operation
Added MLCSoftmaxLayer.dimension
Added +[MLCSoftmaxLayer layerWithOperation:]
Added +[MLCSoftmaxLayer layerWithOperation:dimension:]
MLCSplitLayer.h
Added MLCSplitLayer
Added MLCSplitLayer.dimension
Added MLCSplitLayer.splitCount
Added MLCSplitLayer.splitSectionLengths
Added +[MLCSplitLayer layerWithSplitCount:dimension:]
Added +[MLCSplitLayer layerWithSplitSectionLengths:dimension:]
MLCTensor.h
Added MLCTensor
Added MLCTensor.tensorID
Added MLCTensor.descriptor
Added MLCTensor.data
Added MLCTensor.label
Added MLCTensor.device
Added MLCTensor.optimizerData
Added MLCTensor.optimizerDeviceData
Added +[MLCTensor tensorWithDescriptor:]
Added +[MLCTensor tensorWithDescriptor:randomInitializerType:]
Added +[MLCTensor tensorWithDescriptor:fillWithData:]
Added +[MLCTensor tensorWithDescriptor:data:]
Added +[MLCTensor tensorWithShape:]
Added +[MLCTensor tensorWithShape:randomInitializerType:]
Added +[MLCTensor tensorWithShape:dataType:]
Added +[MLCTensor tensorWithShape:data:dataType:]
Added +[MLCTensor tensorWithShape:fillWithData:dataType:]
Added +[MLCTensor tensorWithWidth:height:featureChannelCount:batchSize:]
Added +[MLCTensor tensorWithWidth:height:featureChannelCount:batchSize:fillWithData:dataType:]
Added +[MLCTensor tensorWithWidth:height:featureChannelCount:batchSize:randomInitializerType:]
Added +[MLCTensor tensorWithWidth:height:featureChannelCount:batchSize:data:]
Added +[MLCTensor tensorWithWidth:height:featureChannelCount:batchSize:data:dataType:]
Added +[MLCTensor tensorWithSequenceLength:featureChannelCount:batchSize:]
Added +[MLCTensor tensorWithSequenceLength:featureChannelCount:batchSize:randomInitializerType:]
Added +[MLCTensor tensorWithSequenceLength:featureChannelCount:batchSize:data:]
Added +[MLCTensor tensorWithSequenceLengths:sortedSequences:featureChannelCount:batchSize:randomInitializerType:]
Added +[MLCTensor tensorWithSequenceLengths:sortedSequences:featureChannelCount:batchSize:data:]
Added MLCTensor.hasValidNumerics
Added -[MLCTensor synchronizeData]
Added -[MLCTensor synchronizeOptimizerData]
Added -[MLCTensor copyDataFromDeviceMemoryToBytes:length:synchronizeWithDevice:]
Added -[MLCTensor bindAndWriteData:toDevice:]
Added -[MLCTensor bindOptimizerData:deviceData:]
MLCTensorData.h
Added MLCTensorData
Added MLCTensorData.bytes
Added MLCTensorData.length
Added +[MLCTensorData dataWithBytesNoCopy:length:]
Added +[MLCTensorData dataWithImmutableBytesNoCopy:length:]
MLCTensorDescriptor.h
Added MLCTensorDescriptor
Added MLCTensorDescriptor.dataType
Added MLCTensorDescriptor.dimensionCount
Added MLCTensorDescriptor.shape
Added MLCTensorDescriptor.stride
Added MLCTensorDescriptor.tensorAllocationSizeInBytes
Added MLCTensorDescriptor.sequenceLengths
Added MLCTensorDescriptor.sortedSequences
Added MLCTensorDescriptor.batchSizePerSequenceStep
Added MLCTensorDescriptor.maxTensorDimensions
Added +[MLCTensorDescriptor descriptorWithShape:dataType:]
Added +[MLCTensorDescriptor descriptorWithShape:sequenceLengths:sortedSequences:dataType:]
Added +[MLCTensorDescriptor descriptorWithWidth:height:featureChannelCount:batchSize:]
Added +[MLCTensorDescriptor descriptorWithWidth:height:featureChannelCount:batchSize:dataType:]
Added +[MLCTensorDescriptor convolutionWeightsDescriptorWithWidth:height:inputFeatureChannelCount:outputFeatureChannelCount:dataType:]
Added +[MLCTensorDescriptor convolutionWeightsDescriptorWithInputFeatureChannelCount:outputFeatureChannelCount:dataType:]
Added +[MLCTensorDescriptor convolutionBiasesDescriptorWithFeatureChannelCount:dataType:]
MLCTensorOptimizerDeviceData.h
Added MLCTensorOptimizerDeviceData
MLCTensorParameter.h
Added MLCTensorParameter
Added MLCTensorParameter.tensor
Added MLCTensorParameter.isUpdatable
Added +[MLCTensorParameter parameterWithTensor:]
Added +[MLCTensorParameter parameterWithTensor:optimizerData:]
MLCTrainingGraph.h
Added MLCTrainingGraph
Added MLCTrainingGraph.optimizer
Added MLCTrainingGraph.deviceMemorySize
Added +[MLCTrainingGraph graphWithGraphObjects:lossLayer:optimizer:]
Added -[MLCTrainingGraph addInputs:lossLabels:]
Added -[MLCTrainingGraph addInputs:lossLabels:lossLabelWeights:]
Added -[MLCTrainingGraph addOutputs:]
Added -[MLCTrainingGraph stopGradientForTensors:]
Added -[MLCTrainingGraph compileWithOptions:device:]
Added -[MLCTrainingGraph compileOptimizer:]
Added -[MLCTrainingGraph linkWithGraphs:]
Added -[MLCTrainingGraph gradientTensorForInput:]
Added -[MLCTrainingGraph sourceGradientTensorsForLayer:]
Added -[MLCTrainingGraph resultGradientTensorsForLayer:]
Added -[MLCTrainingGraph gradientDataForParameter:layer:]
Added -[MLCTrainingGraph allocateUserGradientForTensor:]
Added -[MLCTrainingGraph executeWithInputsData:lossLabelsData:lossLabelWeightsData:batchSize:options:completionHandler:]
Added -[MLCTrainingGraph executeWithInputsData:lossLabelsData:lossLabelWeightsData:outputsData:batchSize:options:completionHandler:]
Added -[MLCTrainingGraph executeForwardWithBatchSize:options:completionHandler:]
Added -[MLCTrainingGraph executeForwardWithBatchSize:options:outputsData:completionHandler:]
Added -[MLCTrainingGraph executeGradientWithBatchSize:options:completionHandler:]
Added -[MLCTrainingGraph executeGradientWithBatchSize:options:outputsData:completionHandler:]
Added -[MLCTrainingGraph executeOptimizerUpdateWithOptions:completionHandler:]
Added -[MLCTrainingGraph synchronizeUpdates]
Added -[MLCTrainingGraph setTrainingTensorParameters:]
Added -[MLCTrainingGraph bindOptimizerData:deviceData:withTensor:]
MLCTransposeLayer.h
Added MLCTransposeLayer
Added MLCTransposeLayer.dimensions
Added +[MLCTransposeLayer layerWithDimensions:]
MLCTypes.h
Added MLCGraphCompletionHandler
Added MLCDataType
Added MLCDataTypeInvalid
Added MLCDataTypeFloat32
Added MLCDataTypeBoolean
Added MLCDataTypeInt64
Added MLCDataTypeInt32
Added MLCDataTypeCount
Added MLCRandomInitializerType
Added MLCRandomInitializerTypeInvalid
Added MLCRandomInitializerTypeUniform
Added MLCRandomInitializerTypeGlorotUniform
Added MLCRandomInitializerTypeXavier
Added MLCRandomInitializerTypeCount
Added MLCDeviceType
Added MLCDeviceTypeCPU
Added MLCDeviceTypeGPU
Added MLCDeviceTypeAny
Added MLCDeviceTypeCount
Added MLCGraphCompilationOptions
Added MLCGraphCompilationOptionsNone
Added MLCGraphCompilationOptionsDebugLayers
Added MLCGraphCompilationOptionsDisableLayerFusion
Added MLCGraphCompilationOptionsLinkGraphs
Added MLCGraphCompilationOptionsComputeAllGradients
Added MLCExecutionOptions
Added MLCExecutionOptionsNone
Added MLCExecutionOptionsSkipWritingInputDataToDevice
Added MLCExecutionOptionsSynchronous
Added MLCExecutionOptionsProfiling
Added MLCExecutionOptionsForwardForInference
Added MLCArithmeticOperation
Added MLCArithmeticOperationAdd
Added MLCArithmeticOperationSubtract
Added MLCArithmeticOperationMultiply
Added MLCArithmeticOperationDivide
Added MLCArithmeticOperationFloor
Added MLCArithmeticOperationRound
Added MLCArithmeticOperationCeil
Added MLCArithmeticOperationSqrt
Added MLCArithmeticOperationRsqrt
Added MLCArithmeticOperationSin
Added MLCArithmeticOperationCos
Added MLCArithmeticOperationTan
Added MLCArithmeticOperationAsin
Added MLCArithmeticOperationAcos
Added MLCArithmeticOperationAtan
Added MLCArithmeticOperationSinh
Added MLCArithmeticOperationCosh
Added MLCArithmeticOperationTanh
Added MLCArithmeticOperationAsinh
Added MLCArithmeticOperationAcosh
Added MLCArithmeticOperationAtanh
Added MLCArithmeticOperationPow
Added MLCArithmeticOperationExp
Added MLCArithmeticOperationExp2
Added MLCArithmeticOperationLog
Added MLCArithmeticOperationLog2
Added MLCArithmeticOperationCount
Added MLCLossType
Added MLCLossTypeMeanAbsoluteError
Added MLCLossTypeMeanSquaredError
Added MLCLossTypeSoftmaxCrossEntropy
Added MLCLossTypeSigmoidCrossEntropy
Added MLCLossTypeCategoricalCrossEntropy
Added MLCLossTypeHinge
Added MLCLossTypeHuber
Added MLCLossTypeCosineDistance
Added MLCLossTypeLog
Added MLCLossTypeCount
Added MLCActivationType
Added MLCActivationTypeNone
Added MLCActivationTypeReLU
Added MLCActivationTypeLinear
Added MLCActivationTypeSigmoid
Added MLCActivationTypeHardSigmoid
Added MLCActivationTypeTanh
Added MLCActivationTypeAbsolute
Added MLCActivationTypeSoftPlus
Added MLCActivationTypeSoftSign
Added MLCActivationTypeELU
Added MLCActivationTypeReLUN
Added MLCActivationTypeLogSigmoid
Added MLCActivationTypeSELU
Added MLCActivationTypeCELU
Added MLCActivationTypeHardShrink
Added MLCActivationTypeSoftShrink
Added MLCActivationTypeTanhShrink
Added MLCActivationTypeThreshold
Added MLCActivationTypeGELU
Added MLCActivationTypeCount
Added MLCConvolutionType
Added MLCConvolutionTypeStandard
Added MLCConvolutionTypeTransposed
Added MLCConvolutionTypeDepthwise
Added MLCPaddingPolicy
Added MLCPaddingPolicySame
Added MLCPaddingPolicyValid
Added MLCPaddingPolicyUsePaddingSize
Added MLCPaddingType
Added MLCPaddingTypeZero
Added MLCPaddingTypeReflect
Added MLCPaddingTypeSymmetric
Added MLCPaddingTypeConstant
Added MLCPoolingType
Added MLCPoolingTypeMax
Added MLCPoolingTypeAverage
Added MLCPoolingTypeL2Norm
Added MLCPoolingTypeCount
Added MLCReductionType
Added MLCReductionTypeNone
Added MLCReductionTypeSum
Added MLCReductionTypeMean
Added MLCReductionTypeMax
Added MLCReductionTypeMin
Added MLCReductionTypeArgMax
Added MLCReductionTypeArgMin
Added MLCReductionTypeCount
Added MLCRegularizationType
Added MLCRegularizationTypeNone
Added MLCRegularizationTypeL1
Added MLCRegularizationTypeL2
Added MLCSampleMode
Added MLCSampleModeNearest
Added MLCSampleModeLinear
Added MLCSoftmaxOperation
Added MLCSoftmaxOperationSoftmax
Added MLCSoftmaxOperationLogSoftmax
Added MLCLSTMResultMode
Added MLCLSTMResultModeOutput
Added MLCLSTMResultModeOutputAndStates
Added MLCActivationTypeDebugDescription()
Added MLCArithmeticOperationDebugDescription()
Added MLCPaddingPolicyDebugDescription()
Added MLCLossTypeDebugDescription()
Added MLCReductionTypeDebugDescription()
Added MLCPaddingTypeDebugDescription()
Added MLCConvolutionTypeDebugDescription()
Added MLCPoolingTypeDebugDescription()
Added MLCSoftmaxOperationDebugDescription()
Added MLCSampleModeDebugDescription()
Added MLCLSTMResultModeDebugDescription()
MLCUpsampleLayer.h
Added MLCUpsampleLayer
Added MLCUpsampleLayer.shape
Added MLCUpsampleLayer.sampleMode
Added MLCUpsampleLayer.alignsCorners
Added +[MLCUpsampleLayer layerWithShape:]
Added +[MLCUpsampleLayer layerWithShape:sampleMode:alignsCorners:]
MLCYOLOLossDescriptor.h
Added MLCYOLOLossDescriptor
Added MLCYOLOLossDescriptor.anchorBoxCount
Added MLCYOLOLossDescriptor.anchorBoxes
Added MLCYOLOLossDescriptor.shouldRescore
Added MLCYOLOLossDescriptor.scaleSpatialPositionLoss
Added MLCYOLOLossDescriptor.scaleSpatialSizeLoss
Added MLCYOLOLossDescriptor.scaleNoObjectConfidenceLoss
Added MLCYOLOLossDescriptor.scaleObjectConfidenceLoss
Added MLCYOLOLossDescriptor.scaleClassLoss
Added MLCYOLOLossDescriptor.minimumIOUForObjectPresence
Added MLCYOLOLossDescriptor.maximumIOUForObjectAbsence
Added +[MLCYOLOLossDescriptor descriptorWithAnchorBoxes:anchorBoxCount:]
MLCYOLOLossLayer.h
Added MLCYOLOLossLayer
Added MLCYOLOLossLayer.yoloLossDescriptor
Added +[MLCYOLOLossLayer layerWithDescriptor:]