Query: mpscnnconvolutionweightsandbiasesstate
OS: mojave
Section: 3
Format: Original Unix Latex Style Formatted with HTML and a Horizontal Scroll Bar
MPSCNNConvolutionWeightsAndBiasesState(3) MetalPerformanceShaders.framework MPSCNNConvolutionWeightsAndBiasesState(3)NAMEMPSCNNConvolutionWeightsAndBiasesStateSYNOPSIS#import <MPSCNNConvolution.h> Inherits MPSState. Instance Methods (nonnull instancetype) - initWithWeights:biases: (nonnull instancetype) - initWithDevice:cnnConvolutionDescriptor: Class Methods (nonnull instancetype) + temporaryCNNConvolutionWeightsAndBiasesStateWithCommandBuffer:cnnConvolutionDescriptor: Properties __nonnull id< MTLBuffer > weights __nullable id< MTLBuffer > biases Detailed Description The MPSCNNConvolutionWeightsAndBiasesState is returned by exportWeightsAndBiasesWithCommandBuffer: method on MPSCNNConvolution object. This is mainly used for GPU side weights/biases update process. During training, application can keep a copy of weights, velocity, momentum MTLBuffers in its data source, update the weights (in-place or out of place) with gradients obtained from MPSCNNConvolutionGradientState and call [MPSCNNConvolution reloadWeightsAndBiasesWithCommandBuffer] with resulting updated MTLBuffer. If application does not want to keep a copy of weights/biases, it can call [MPSCNNConvolution exportWeightsAndBiasesWithCommandBuffer:] to get the current weights from convolution itself, do the updated and call reloadWithCommandBuffer. Method Documentation - (nonnull instancetype) initWithDevice: (__nonnull id< MTLDevice >) device(MPSCNNConvolutionDescriptor *__nonnull) descriptor - (nonnull instancetype) initWithWeights: (__nonnull id< MTLBuffer >) weights(__nullable id< MTLBuffer >) biases + (nonnull instancetype) temporaryCNNConvolutionWeightsAndBiasesStateWithCommandBuffer: (__nonnull id< MTLCommandBuffer >) commandBuffer(MPSCNNConvolutionDescriptor *__nonnull) descriptor Property Documentation - biases [read], [nonatomic], [assign] A buffer that contains the biases. Each value is float and there are ouputFeatureChannels values. - weights [read], [nonatomic], [assign] A buffer that contains the weights. Each value in the buffer is a float. The layout of the weights with respect to the weights is the same as the weights layout provided by data source i.e. it can be interpreted as 4D array weights[outputFeatureChannels][kernelHeight][kernelWidth][inputFeatureChannels/groups] Author Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code. Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSCNNConvolutionWeightsAndBiasesState(3)
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