NVIDIA NvNeural SDK  2022.2
GPU inference framework for NVIDIA Nsight Deep Learning Designer
nvneural::IOnnxGenerationActivation Class Referenceabstract

ONNX export interface for IActivationFunction. More...

#include <nvneural/OnnxTypes.h>

Inheritance diagram for nvneural::IOnnxGenerationActivation:
nvneural::IRefObject

Public Member Functions

virtual NeuralResult generateActivationOnnx (IOnnxGenerationHost *pOnnxHost, const ILayer *pLayer) const noexcept=0
 Generates ONNX operators for this activation function. More...
 
- Public Member Functions inherited from nvneural::IRefObject
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.
 
- Static Public Attributes inherited from nvneural::IRefObject
static const TypeId typeID = 0x14ecc3f9de638e1dul
 Interface TypeId for InterfaceOf purposes.
 

Additional Inherited Members

- Public Types inherited from nvneural::IRefObject
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.
 
- Protected Member Functions inherited from nvneural::IRefObject
virtual ~IRefObject ()=default
 A protected destructor prevents accidental stack-allocation of IRefObjects or use with other smart pointer classes like std::unique_ptr.
 

Detailed Description

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.

Member Function Documentation

◆ generateActivationOnnx()

virtual NeuralResult nvneural::IOnnxGenerationActivation::generateActivationOnnx ( IOnnxGenerationHost pOnnxHost,
const ILayer pLayer 
) const
pure virtualnoexcept

Generates ONNX operators for this activation function.

Parameters
pOnnxHostONNX generation host; provides the graph interface
pLayerLayer attached to this activation and containing relevant coefficients
Returns
NeuralResult::Success normally. Failure if something went wrong and the export should be canceled. You may return NeuralResult::Unsupported to treat this activation as though it had no IOnnxGenerationActivation interface. This is useful if the activation inherits a larger parent class but needs to opt out of ONNX generation. Do not modify the graph if you use this path.

The documentation for this class was generated from the following file: