NVIDIA NvNeural SDK
2022.2
GPU inference framework for NVIDIA Nsight Deep Learning Designer
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This is the complete list of members for nvneural::ILayer, including all inherited members.
activationCoefficient(std::size_t coefficientIndex) const noexcept=0 | nvneural::ILayer | pure virtual |
activationFunction() const noexcept=0 | nvneural::ILayer | pure virtual |
addRef() const noexcept=0 | nvneural::IRefObject | pure virtual |
backendId() const noexcept=0 | nvneural::ILayer | pure virtual |
dimensions() const noexcept=0 | nvneural::ILayer | pure virtual |
evaluateForward() noexcept=0 | nvneural::ILayer | pure virtual |
getConstData(const void **ppOut, TensorFormat format, const ILayer *pRequestingLayer) const noexcept=0 | nvneural::ILayer | pure virtual |
getCpuConstData(void *pOutBuffer, size_t bufferByteCount, size_t *pBytesCopied, TensorFormat format) const noexcept=0 | nvneural::ILayer | pure virtual |
getData(void **ppOut, TensorFormat format, const ILayer *pRequestingLayer) noexcept=0 | nvneural::ILayer | pure virtual |
getInputLayers(ILayerList **ppInputLayers) const noexcept=0 | nvneural::ILayer | pure virtual |
internalDimensions() const noexcept=0 | nvneural::ILayer | pure virtual |
isAffected() const noexcept=0 | nvneural::ILayer | pure virtual |
isPermanent() const noexcept=0 | nvneural::ILayer | pure virtual |
loadFromParameters(const IParameterNode *pParameters) noexcept=0 | nvneural::ILayer | pure virtual |
name() const noexcept=0 | nvneural::ILayer | 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 |
reshape() noexcept=0 | nvneural::ILayer | pure virtual |
serializedType() const noexcept=0 | nvneural::ILayer | pure virtual |
setActivationCoefficient(std::size_t coefficientIndex, float value) noexcept=0 | nvneural::ILayer | pure virtual |
setActivationFunction(ActivationFunctionId activationFunction) noexcept=0 | nvneural::ILayer | pure virtual |
setAffected(bool affected) noexcept=0 | nvneural::ILayer | pure virtual |
setInputLayer(std::size_t index, ILayer *pLayer) noexcept=0 | nvneural::ILayer | pure virtual |
setName(const char *pName) noexcept=0 | nvneural::ILayer | pure virtual |
setNetworkRuntime(INetworkRuntime *pNetworkRuntime) noexcept=0 | nvneural::ILayer | pure virtual |
setPermanent(bool permanent) noexcept=0 | nvneural::ILayer | pure virtual |
setWeightsName(const char *pWeightsName) noexcept=0 | nvneural::ILayer | pure virtual |
stepping() const noexcept=0 | nvneural::ILayer | pure virtual |
tensorBufferSize() const noexcept=0 | nvneural::ILayer | pure virtual |
tensorFormat() const noexcept=0 | nvneural::ILayer | pure virtual |
tensorInternalBufferSize() const noexcept=0 | nvneural::ILayer | pure virtual |
TypeId typedef | nvneural::IRefObject | |
typeID | nvneural::ILayer | static |
weightsDimensions(const char *pWeightsName, WeightsQuery queryType) const noexcept=0 | nvneural::ILayer | pure virtual |
weightsName() const noexcept=0 | nvneural::ILayer | pure virtual |
~IRefObject()=default | nvneural::IRefObject | protectedvirtual |