| 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() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| Bias() | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| Clone() const=0 | Layer< 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() const | Layer< InputType, OutputType > | inline |
| InputDimensions() | Layer< InputType, OutputType > | inline |
| inputDimensions | Layer< InputType, OutputType > | protected |
| InputHeight() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| InputHeight() | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| InputSize() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| InputWidth() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| InputWidth() | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| KernelHeight() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| KernelHeight() | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| KernelWidth() const | TransposedConvolutionType< 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() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| Layer< InputType, OutputType >::OutputDimensions() | Layer< InputType, OutputType > | inline |
| outputDimensions | Layer< InputType, OutputType > | protected |
| OutputHeight() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| OutputHeight() | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| OutputSize() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| Layer< InputType, OutputType >::OutputSize() final | Layer< InputType, OutputType > | inlinevirtual |
| OutputWidth() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| OutputWidth() | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| PadHBottom() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| PadHBottom() | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| PadHTop() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| PadHTop() | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| PadWLeft() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| PadWLeft() | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| PadWRight() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| PadWRight() | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| Parameters() const | TransposedConvolutionType< 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() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| StrideHeight() | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| StrideWidth() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| StrideWidth() | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| training | Layer< InputType, OutputType > | protected |
| Training() const | Layer< 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 > | |
| validOutputDimensions | Layer< InputType, OutputType > | protected |
| Weight() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| Weight() | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inline |
| WeightSize() const | TransposedConvolutionType< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputType, OutputType > | inlinevirtual |
| ~Layer() | Layer< InputType, OutputType > | inlinevirtual |
