NVIDIA NvNeural SDK  2021.1
GPU inference framework for NVIDIA Nsight Deep Learning Designer
nvneural::BaseLayer Member List

This is the complete list of members for nvneural::BaseLayer, including all inherited members.

activationCoefficient(std::size_t coefficientIndex) const noexceptnvneural::BaseLayervirtual
activationFunction() const noexceptnvneural::BaseLayervirtual
addRef() const noexcept=0nvneural::IRefObjectpure virtual
backendId() const noexceptnvneural::BaseLayervirtual
BaseLayer() (defined in nvneural::BaseLayer)nvneural::BaseLayerprotected
data(TensorFormat format)nvneural::BaseLayerprotected
dimensions() const noexcept=0nvneural::ILayerpure virtual
evaluateForward() noexcept=0nvneural::ILayerpure virtual
getConstData(const void **ppOut, TensorFormat format, const ILayer *pRequestingLayer) const noexceptnvneural::BaseLayervirtual
getCpuConstData(void *pOutBuffer, size_t bufferByteCount, size_t *pBytesCopied, TensorFormat format) const noexceptnvneural::BaseLayervirtual
getData(void **ppOut, TensorFormat format, const ILayer *pRequestingLayer) noexceptnvneural::BaseLayervirtual
getInputLayers(ILayerList **ppInputLayers) const noexceptnvneural::BaseLayervirtual
inputLayer(size_t index) constnvneural::BaseLayerprotected
inputLayer(size_t index)nvneural::BaseLayerprotected
inputLayerCount() constnvneural::BaseLayerprotected
internalDimensions() const noexceptnvneural::BaseLayervirtual
isAffected() const noexceptnvneural::BaseLayervirtual
isPermanent() const noexceptnvneural::BaseLayervirtual
load2ElementParameter(const std::vector< std::string > &inArray, size_t &outElementX, size_t &outElementY, size_t inFill, bool inFillFirstElement=false)nvneural::BaseLayerinlineprotectedstatic
loadedWeightsSize(const ILayer *pWeightsLayer, const char *pWeightsName) constnvneural::BaseLayerprotected
loadFromParameters(const IParameterNode *pParameters) noexceptnvneural::BaseLayervirtual
LoadResult enum namenvneural::BaseLayerprotected
name() const noexceptnvneural::BaseLayervirtual
networkBackend() constnvneural::BaseLayerprotected
networkRuntime() constnvneural::BaseLayerprotected
onImplementationChanged() constnvneural::BaseLayerprotectedvirtual
queryInterface(TypeId interface) noexcept=0nvneural::IRefObjectpure virtual
queryInterface(TypeId interface) const noexcept=0nvneural::IRefObjectpure virtual
RefCount typedefnvneural::IRefObject
registerImplementation(NetworkBackendId backendId, TensorDataType elementType, TensorDataLayout layout, int penalty)nvneural::BaseLayerprotected
release() const noexcept=0nvneural::IRefObjectpure virtual
reshape() noexcept=0nvneural::ILayerpure virtual
serializedType() const noexcept=0nvneural::ILayerpure virtual
setActivationCoefficient(std::size_t coefficientIndex, float value) noexceptnvneural::BaseLayervirtual
setActivationFunction(ActivationFunctionId activationFunction) noexceptnvneural::BaseLayervirtual
setAffected(bool affected) noexceptnvneural::BaseLayervirtual
setInputLayer(std::size_t index, ILayer *pLayer) noexceptnvneural::BaseLayervirtual
setName(const char *pName) noexceptnvneural::BaseLayervirtual
setNetworkRuntime(INetworkRuntime *pNetworkRuntime) noexceptnvneural::BaseLayervirtual
setPermanent(bool permanent) noexceptnvneural::BaseLayervirtual
setWeightsName(const char *pWeightsName) noexceptnvneural::BaseLayervirtual
stepping() const noexceptnvneural::BaseLayervirtual
tensorBufferSize() const noexceptnvneural::BaseLayervirtual
tensorFormat() const noexceptnvneural::BaseLayervirtual
tensorInternalBufferSize() const noexceptnvneural::BaseLayervirtual
typeIDnvneural::ILayerstatic
TypeId typedefnvneural::IRefObject
verifyInputConnected(Indices... indices) const noexceptnvneural::BaseLayerinlineprotected
weightsData(const char *pWeightsName) constnvneural::BaseLayerprotected
weightsDimensions(const char *pWeightsName, WeightsQuery queryType) const noexceptnvneural::BaseLayervirtual
weightsName() const noexceptnvneural::BaseLayervirtual
~IRefObject()=defaultnvneural::IRefObjectprotectedvirtual