Here is a list of all namespace members with links to the namespace documentation for each member:

- f -

• FactoryId : armnn , sdb
• FakeQuantization() : armnn
• FalseFunc() : armnn
• FalseFuncF16() : armnn
• FalseFuncF32() : armnn
• FalseFuncI32() : armnn
• FalseFuncU8() : armnn
• FalseInputFuncF16() : armnn
• FalseInputFuncF32() : armnn
• FalseOutputFuncF16() : armnn
• FalseOutputFuncF32() : armnn
• FileContents : armnnUtils::Filesystem
• Fill() : armnn
• FindKernelMeasurements() : armnn
• FindMeasurement() : armnn
• FindMinMax() : armnnUtils
• FinishClContextBuffer() : armnn
• FinishSizePrefixedClContextBuffer() : armnn
• Float16ToFloat32Workload : armnn
• Float32ToBFloat16Workload : armnn
• Float32ToFloat16Workload : armnn
• Float32Workload : armnn
• FloatWorkload : armnn
• FoldPadIntoAveragePool2d() : armnn
• FoldPadIntoConvolution2d : armnn::optimizations
• FoldPadIntoDepthwiseConvolution2d : armnn::optimizations
• FoldPadIntoLayer2dImpl() : armnn::optimizations::pad_fold
• FoldPadIntoPooling2d : armnn::optimizations
• FoldPadLayer() : armnn
• ForEachLayerInput() : armnn
• ForEachLayerOutput() : armnn
• Fp32NetworkToFp16Converter : armnn::optimizations
• FullyConnected() : armnn
• FuseAdditionLayer() : armnn
• FuseBatchNormalizationLayer() : armnn
• FuseBatchNormIntoConvolution2DFloat16 : armnn::optimizations
• FuseBatchNormIntoConvolution2DFloat32 : armnn::optimizations
• FuseBatchNormIntoDepthwiseConvolution2DFloat16 : armnn::optimizations
• FuseBatchNormIntoDepthwiseConvolution2DFloat32 : armnn::optimizations
• FuseConvolution2dLayer() : armnn
• FuseDepthwiseConvolution2dLayer() : armnn
• FuseDivisionLayer() : armnn
• FusedKernelType : armnn
• FuseElementwiseBinaryLayer() : armnn
• FuseFullyConnectedLayer() : armnn
• FuseLayer() : armnn
• FuseMultiplicationLayer() : armnn
• FusePermuteIntoConstLayer : armnn::optimizations
• FuseSubtractionLayer() : armnn