NVIDIA NvNeural SDK
2022.2
GPU inference framework for NVIDIA Nsight Deep Learning Designer
|
This is the complete list of members for nvneural::IPoolingLayer, including all inherited members.
addRef() const noexcept=0 | nvneural::IRefObject | pure virtual |
getKernelSize(std::size_t *pKernelW, std::size_t *pKernelH) const noexcept=0 | nvneural::IPoolingLayer | pure virtual |
getPadding(std::size_t *pStartW, std::size_t *pStartH, std::size_t *pEndW, std::size_t *pEndH) const noexcept=0 | nvneural::IPoolingLayer | pure virtual |
getStride(std::size_t *pStrideW, std::size_t *pStrideH) const noexcept=0 | nvneural::IPoolingLayer | pure virtual |
poolingType() const noexcept=0 | nvneural::IPoolingLayer | pure virtual |
queryInterface(TypeId interface) noexcept=0 | nvneural::IRefObject | pure virtual |
queryInterface(TypeId interface) const noexcept=0 | nvneural::IRefObject | pure virtual |
RefCount typedef | nvneural::IRefObject | |
release() const noexcept=0 | nvneural::IRefObject | pure virtual |
setEndPadding(std::size_t endW, std::size_t endH) noexcept=0 | nvneural::IPoolingLayer | pure virtual |
setKernelSize(std::size_t kernelW, std::size_t kernelH) noexcept=0 | nvneural::IPoolingLayer | pure virtual |
setPoolingType(PoolType poolType) noexcept=0 | nvneural::IPoolingLayer | pure virtual |
setStartPadding(std::size_t startW, std::size_t startH) noexcept=0 | nvneural::IPoolingLayer | pure virtual |
setStride(std::size_t strideW, std::size_t strideH) noexcept=0 | nvneural::IPoolingLayer | pure virtual |
typeID | nvneural::IPoolingLayer | static |
TypeId typedef | nvneural::IRefObject | |
~IRefObject()=default | nvneural::IRefObject | protectedvirtual |