NVIDIA NvNeural SDK
2022.2
GPU inference framework for NVIDIA Nsight Deep Learning Designer
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ONNX export interface for IActivationFunction. More...
#include <nvneural/OnnxTypes.h>
Public Member Functions | |
virtual NeuralResult | generateActivationOnnx (IOnnxGenerationHost *pOnnxHost, const ILayer *pLayer) const noexcept=0 |
Generates ONNX operators for this activation function. More... | |
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virtual RefCount | addRef () const noexcept=0 |
Increments the object's reference count. More... | |
virtual const void * | queryInterface (TypeId interface) const noexcept=0 |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. | |
virtual void * | queryInterface (TypeId interface) noexcept=0 |
Retrieves a new object interface pointer. More... | |
virtual RefCount | release () const noexcept=0 |
Decrements the object's reference count and destroy the object if the reference count reaches zero. More... | |
Static Public Attributes | |
static const IRefObject::TypeId | typeID = 0x5cb7974e7d598a97ul |
Interface TypeId for InterfaceOf purposes. | |
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static const TypeId | typeID = 0x14ecc3f9de638e1dul |
Interface TypeId for InterfaceOf purposes. | |
Additional Inherited Members | |
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using | RefCount = std::uint32_t |
Typedef used to track the number of active references to an object. | |
using | TypeId = std::uint64_t |
Every interface must define a unique TypeId. This should be randomized. | |
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virtual | ~IRefObject ()=default |
A protected destructor prevents accidental stack-allocation of IRefObjects or use with other smart pointer classes like std::unique_ptr. | |
ONNX export interface for IActivationFunction.
Activation functions should implement this interface to support export to ONNX. By default, activations that do not implement this interface will be replaced by opaque placeholder instances.
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pure virtualnoexcept |
Generates ONNX operators for this activation function.
pOnnxHost | ONNX generation host; provides the graph interface |
pLayer | Layer attached to this activation and containing relevant coefficients |