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

IStatusMessageLayer is an optional interface intended for ILayer to provide status messages. More...

#include <nvneural/LayerTypes.h>

Inheritance diagram for nvneural::IStatusMessageLayer:
nvneural::IRefObject

Public Member Functions

virtual NeuralResult copyStatusMessage (char *pBuffer, std::size_t bufferSize) noexcept=0
 Copy the status message to the pre-allocated buffer. More...
 
virtual std::size_t nextStatusMessageSize () const noexcept=0
 Returns the size of the next status message including trailing null. 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 = 0x945791d0e3af06fcul
 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

IStatusMessageLayer is an optional interface intended for ILayer to provide status messages.

These messages appear in the network view of DL Designer during inference.

Member Function Documentation

◆ copyStatusMessage()

virtual NeuralResult nvneural::IStatusMessageLayer::copyStatusMessage ( char *  pBuffer,
std::size_t  bufferSize 
)
pure virtualnoexcept

Copy the status message to the pre-allocated buffer.

The implementer of copyStatusMessage should null-terminate the returned string. This method should also perform buffer checks and truncate (but still null-terminate!) if bufferSize is too small.

Parameters
pBufferThe pre-allocated buffer which will contain the status message
bufferSizeThe size of the allocated buffer pBuffer

◆ nextStatusMessageSize()

virtual std::size_t nvneural::IStatusMessageLayer::nextStatusMessageSize ( ) const
pure virtualnoexcept

Returns the size of the next status message including trailing null.

The next status message represents the status message that would be broadcasted during the next call to copyStatusMessage. If no message is available, the returned size needs to be 0.


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