Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 123456]

▼Ncom
▼Nqualcomm
▼Nqti
▼Nplatformvalidator
CPlatformValidator
▼CPlatformValidatorUtil
CRuntime
▼Nsnpe
CFloatTensor
▼CNeuralNetwork
CExecutionPriorityHint
CPerformanceProfile
CRuntime
▼CSNPE
CNeuralNetworkBuilder
▼CSnpeError
CError
CIllegalArgsOrStateException
CInvalidInputException
CNativeException
CSnpeIOException
CTensor
CTensorAttributes
CTF8UserBufferTensor
▼CUserBufferTensor
CEncoding
▼Nzdl
▼NDiagLog
CIDiagLog
COptions
▼NDlContainer
CIDlContainer
▼NDlSystem
CIBufferAttributes	IBufferAttributes returns a buffer's dimension and alignment requirements, along with info on its encoding type
CITensor
CITensorFactory
CIUDL
CIUserBuffer	UserBuffer contains a pointer and info on how to walk it and interpret its content
CIUserBufferFactory
COptional
▼CPlatformConfig
CPlatformConfigInfo
CStringList
CTensorMap
CTensorShape
CTensorShapeMap
CUDLBundle
CUDLContext
CUserBufferEncoding
CUserBufferEncodingFloat
CUserBufferEncodingTfN
CUserBufferEncodingUnsigned8Bit
CUserBufferMap
CUserBufferSource
CUserBufferSourceGLBuffer
CUserGLConfig
CUserGpuConfig
CVersion_t
▼NSNPE
CPlatformValidator
CSNPE
CSNPEBuilder
CSNPEFactory
CdspGlobalInfrastructure	Infrastructures needed by a developer of DSP Hexnn UDO Implementation library
Chexnnv2OpFactoryInfra
CSnpeUdo_CpuInfrastructure_t	This struct provides the infrastructure needed by a developer of CPU UDO Implementation library
CSnpeUdo_GpuInfrastructure_t	Global Infrastructure Definition for GPU UDO Implementations
CSnpeUdo_GpuOpFactoryInfrastructure_t	Per OpFactory Infrastructure Definition for GPU UDO Implementations
CSnpeUdo_GpuTensorData_t	Opaque tensorData definition for operation inputs and outputs
CSnpeUdo_ImpInfo_t	A struct returned by the implementation library and contains information on the specific library: name, IP Core, operations, etc
CSnpeUdo_LibraryInfo_t	A struct which provides the implementation library info : type, name
CSnpeUdo_LibVersion_t	A struct returned from version query, contains the Library version and API version
CSnpeUdo_OpCoreInfo_t	A struct which defines Operation information which is specific for IP core (CPU, GPU, DSP ...)
CSnpeUdo_OpDefinition_t	This struct defines an operation. It is used for validation or creation of an operation. In case of using it for creation, the static params which are tensors contain pointers to the real data (weights, for example), and input/output tensors also include pointers to the buffers used
CSnpeUdo_OperationInfo_t	A struct which defines the common and core-specific Operation information
CSnpeUdo_Param_t	Struct which defines a UDO parameter - a union of scalar, tensor and string parameters
CSnpeUdo_PerCoreDatatype_t	A struct which defines the datatype associated with a specified core-type This should be used to denote the datatypes for a single tensor info, depending on the intended execution core
CSnpeUdo_QuantizeParams_t	A struct which defines the quantization type, and union of supported quantization structs
CSnpeUdo_RegInfo_t	A struct returned by the registration library and contains information on the UDO package : name, operations, libraries, etc
CSnpeUdo_ScalarParam_t	A struct which defines a scalar parameter : name, data type, and union of values
CSnpeUdo_TensorInfo_t	A struct which defines tensor information for activation tensors only
CSnpeUdo_TensorParam_t	A struct which defines a tensor parameter : name, data type, layout, quantization, more. Also holds a pointer to the tensor data
CSnpeUdo_TFQuantize_t	A struct which defines the quantization parameters in case of Tensorflow style quantization
CSnpeUdo_Value_t	A union to hold the value of a generic type. Allows defining a parameter struct in a generic way, with a "value" location that holds the data regardless of the type
CSnpeUdo_Version_t	A struct which is used to provide a version number using 3 values : major, minor, teeny