TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > Member List

This is the complete list of members for TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >, including all inherited members.

Backward(const InputType &, const OutputType &gy, OutputType &g)TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >
Layer< InputType, OutputType >::Backward(const InputType &, const InputType &, InputType &)Layer< InputType, OutputType >inlinevirtual
Bias() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
Bias()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
Clone() const=0Layer< InputType, OutputType >pure virtual
ComputeOutputDimensions()Layer< InputType, OutputType >inlinevirtual
CustomInitialize(InputType &, const size_t)Layer< InputType, OutputType >inlinevirtual
Forward(const InputType &input, OutputType &output)TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >
Layer< InputType, OutputType >::Forward(const InputType &, InputType &)Layer< InputType, OutputType >inlinevirtual
Layer< InputType, OutputType >::Forward(const InputType &, const InputType &)Layer< InputType, OutputType >inlinevirtual
Gradient(const InputType &, const OutputType &error, OutputType &gradient)TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >
Layer< InputType, OutputType >::Gradient(const InputType &, const InputType &, InputType &)Layer< InputType, OutputType >inlinevirtual
InputDimensions() constLayer< InputType, OutputType >inline
InputDimensions()Layer< InputType, OutputType >inline
inputDimensionsLayer< InputType, OutputType >protected
InputHeight() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
InputHeight()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
InputSize() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
InputWidth() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
InputWidth()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
KernelHeight() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
KernelHeight()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
KernelWidth() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
KernelWidth()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
Layer()Layer< InputType, OutputType >inline
Layer(const Layer &layer)Layer< InputType, OutputType >inline
Layer(Layer &&layer)Layer< InputType, OutputType >inline
Loss()Layer< InputType, OutputType >inlinevirtual
operator=(const Layer &layer)Layer< InputType, OutputType >inlinevirtual
operator=(Layer &&layer)Layer< InputType, OutputType >inlinevirtual
OutputDimensions() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
Layer< InputType, OutputType >::OutputDimensions()Layer< InputType, OutputType >inline
outputDimensionsLayer< InputType, OutputType >protected
OutputHeight() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
OutputHeight()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
OutputSize() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
Layer< InputType, OutputType >::OutputSize() finalLayer< InputType, OutputType >inlinevirtual
OutputWidth() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
OutputWidth()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
PadHBottom() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
PadHBottom()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
PadHTop() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
PadHTop()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
PadWLeft() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
PadWLeft()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
PadWRight() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
PadWRight()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
Parameters() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inlinevirtual
Parameters()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inlinevirtual
serialize(Archive &ar, const uint32_t)TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >
SetWeights(const typename OutputType::elem_type *weightsPtr)TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >
Layer< InputType, OutputType >::SetWeights(typename InputType ::elem_type *)Layer< InputType, OutputType >inlinevirtual
StrideHeight() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
StrideHeight()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
StrideWidth() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
StrideWidth()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
trainingLayer< InputType, OutputType >protected
Training() constLayer< InputType, OutputType >inlinevirtual
Training()Layer< InputType, OutputType >inlinevirtual
TransposedConvolutionType()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >
TransposedConvolutionType(const size_t inSize, const size_t outSize, const size_t kernelWidth, const size_t kernelHeight, const size_t strideWidth=1, const size_t strideHeight=1, const size_t padW=0, const size_t padH=0, const size_t inputWidth=0, const size_t inputHeight=0, const size_t outputWidth=0, const size_t outputHeight=0, const std::string &paddingType="None")TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >
TransposedConvolutionType(const size_t inSize, const size_t outSize, const size_t kernelWidth, const size_t kernelHeight, const size_t strideWidth, const size_t strideHeight, const std::tuple< size_t, size_t > &padW, const std::tuple< size_t, size_t > &padH, const size_t inputWidth=0, const size_t inputHeight=0, const size_t outputWidth=0, const size_t outputHeight=0, const std::string &paddingType="None")TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >
validOutputDimensionsLayer< InputType, OutputType >protected
Weight() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
Weight()TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inline
WeightSize() constTransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType >inlinevirtual
~Layer()Layer< InputType, OutputType >inlinevirtual