Class List

Class List#

Mobilint SDK qb Compiler: Class List
Mobilint SDK qb Compiler v1.3
MCS002-EN
Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 1234567]
 Nqbcompiler
 Ncalibration
 Npreprocess
 CCenterCropPerform a centered crop on the image
 CGetImageRetrieve an image tensor from a file path or NumPy array using OpenCV
 CGetNpyLoad NumPy data from an in-memory array or a .npy file
 CNormalizeApply mean/std normalization to images
 CNpyNormalize
 CNpyPadPad NumPy arrays to a desired shape
 CPadPad images to a target shape or to meet a size divisor
 Cpreproc_builderBuild a calibration preprocessing pipeline from a YAML or dict configuration
 CResizeResize images with optional aspect-ratio preservation
 CResizeTorch
 CSetOrder
 NconfigsAuto-generated config module from config_schema.yaml
 NenumsAuto-generated enum definitions from config_schema.yaml
 CAccumulationDevice
 CDevice
 CHessianDtype
 CInferenceScheme
 CMethod
 CMoeExpertSelectionMode
 CQuantMethod
 CQuantMode
 CQuantOutput
 CSearchType
 NmodelsAuto-generated Pydantic models from config_schema.yaml
 CBitConfigConfiguration for bit precision
 CLayerOverrides
 CSaveInfo
 CTransformer
 CActivation
 CFfnFFN activation bit-widths (int shorthand sets all sublayers)
 CMixedPrecision
 CActivation
 CWeight
 CWeight
 CFfnFFN weight bit-widths (int shorthand sets all sublayers)
 CCalibrationConfigConfiguration for calibration during quantization
 CFastDist
 CGroupLut
 CHistogram
 CLayerOverrides
 CMaxPercentile
 COptimizeLut
 CStatistics
 CCompileConfigUnified compilation configuration for Mobilint MXQ compilation
 CEquivalentTransformationConfigConfiguration for equivalent transformation techniques
 CFeedForwardMultiLutFeed-forward multi-LUT transformation
 CFlattenQuant
 CHeadOutChRotation
 CInRotation
 CNormConv
 COptimizeFfn
 CQk
 CQkRotation
 CSpinR1
 CSpinR2
 CUd
 CVo
 CHessianQuantConfigConfiguration for HessianQuant algorithm
 CAttributes
 CLayerBiasCorrectionConfigConfiguration for calibration-derived layer bias correction
 CAttributes
 CLlmConfigConfiguration for Large Language Model (LLM) compilation
 CAttributes
 CCalibration
 CDebug
 CRuntime
 CLoadScaleConfig
 CModConfigConfiguration for Minimum Output Difference algorithm
 CAttributes
 CLearningRates
 CLoss
 CPostProcessing
 CTraining
 CMoeConfigSparse MoE expert-selection configuration (calibration only)
 CPreprocessingConfigConfiguration for input preprocessing pipeline
 CResourceManagementConfigConfiguration for resource management during model compilation
 CWeightMemoryWeight memory management configuration
 CRuntimeOptionsRuntime options for compilation
 CSaveSampleConfigSample data generation and saving configuration
 CSearchWeightScaleConfigConfiguration for weight scale search
 CTransformerTransformer components for weight scale search
 CUint8InputConfigConfiguration for uint8 input handling
 NpresetsAuto-generated preset definitions from config_schema.yaml
 CPresetPreset utility class
 Nfrontend
 CModel_DictWrapper around the Mobilint compiler to support compilation and inference workflows
 CGetTextExtract text strings from raw inputs
 CTokenizeToEmbeddingConvert tokenized text into embeddings using a Hugging Face model
 CYoloPreApply YOLO-style resize, padding, and normalization to images