nvneural::INetworkReshapeDebugger Class Reference

INetworkReshapeDebugger defines a callback interface for reshape operations. More...

#include <nvneural/NetworkTypes.h>

Inheritance diagram for nvneural::INetworkReshapeDebugger:

Public Member Functions
virtual NeuralResult	beginReshapeLayer (ILayer *pLayer) noexcept=0
	Callback emitted when a layer is about to reshape. More...
virtual NeuralResult	endReshapeLayer (ILayer *pLayer, NeuralResult reshapeStatus) noexcept=0
	Callback emitted when a layer is finished reshaping. 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 = 0x6e2cb6b746e5f2dul
	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

INetworkReshapeDebugger defines a callback interface for reshape operations.

If attached to a network, the network will issue callbacks during reshape. Tools can use this information to attribute log messages to the individual layers being reshaped with a higher degree of accuracy than simple convention (e.g., schemes like "%s: message".arg(name())).

Member Function Documentation

beginReshapeLayer()

virtual NeuralResult nvneural::INetworkReshapeDebugger::beginReshapeLayer ( ILayer *  pLayer )

pure virtualnoexcept

Callback emitted when a layer is about to reshape.

Parameters

pLayer

Layer to be reshaped.

Returns

Success; any other return code aborts reshape immediately with that return value.

endReshapeLayer()

virtual NeuralResult nvneural::INetworkReshapeDebugger::endReshapeLayer ( ILayer *  pLayer, NeuralResult  reshapeStatus  )

pure virtualnoexcept

Callback emitted when a layer is finished reshaping.

Parameters

pLayer	Layer that was reshaped.
reshapeStatus	Return code from the layer's reshape operation.

Returns

Success; any other return code aborts reshape immediately with that return value.

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

• Core/Inc/nvneural/NetworkTypes.h