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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 |