Index

A

AttributeFilter (class in model_compression_toolkit.target_platform)

AttributeQuantizationConfig (class in model_compression_toolkit.target_platform)

B

BaseKerasTrainableQuantizer (class in model_compression_toolkit.trainable_infrastructure) BasePytorchTrainableQuantizer (class in model_compression_toolkit.trainable_infrastructure) BatchNormAlignemntLossType (class in model_compression_toolkit.data_generation)

bit_width (model_compression_toolkit.core.common.quantization.bit_width_config.ManualBitWidthSelection attribute) BitWidthConfig (class in model_compression_toolkit.core) BNLayerWeightingType (class in model_compression_toolkit.data_generation)

C

ChangeCandidatesActivationQuantConfigAttr (class in model_compression_toolkit.core.network_editor) ChangeCandidatesActivationQuantizationMethod (class in model_compression_toolkit.core.network_editor) ChangeCandidatesWeightsQuantConfigAttr (class in model_compression_toolkit.core.network_editor) ChangeCandidatesWeightsQuantizationMethod (class in model_compression_toolkit.core.network_editor) ChangeFinalActivationQuantConfigAttr (class in model_compression_toolkit.core.network_editor) ChangeFinalWeightsQuantConfigAttr (class in model_compression_toolkit.core.network_editor)

ChangeFinalWeightsQuantizationMethod (class in model_compression_toolkit.core.network_editor) ChangeQuantizationParamFunction (class in model_compression_toolkit.core.network_editor) ChannelAxis (class in model_compression_toolkit.core) channels_filtering_strategy (model_compression_toolkit.pruning.PruningConfig attribute) ChannelsFilteringStrategy (class in model_compression_toolkit.pruning) CoreConfig (class in model_compression_toolkit.core)

D

DataGenerationConfig (class in model_compression_toolkit.data_generation) DataInitType (class in model_compression_toolkit.data_generation)

DebugConfig (class in model_compression_toolkit.core) DefaultDict (class in model_compression_toolkit)

E

EditRule (class in model_compression_toolkit.core.network_editor)

Eq (class in model_compression_toolkit.target_platform)

F

filter (model_compression_toolkit.core.common.quantization.bit_width_config.ManualBitWidthSelection attribute)

FrameworkInfo (class in model_compression_toolkit.core) Fusing (class in model_compression_toolkit.target_platform)

G

get() (model_compression_toolkit.DefaultDict method) get_keras_data_generation_config() (in module model_compression_toolkit.data_generation) get_keras_gptq_config() (in module model_compression_toolkit.gptq) get_pytorch_data_generation_config() (in module model_compression_toolkit.data_generation) get_pytorch_gptq_config() (in module model_compression_toolkit.gptq)

get_target_platform_capabilities() (in module model_compression_toolkit) GPTQHessianScoresConfig (class in model_compression_toolkit.gptq) GradientPTQConfig (class in model_compression_toolkit.gptq) Greater (class in model_compression_toolkit.target_platform) GreaterEq (class in model_compression_toolkit.target_platform)

I

ImageGranularity (class in model_compression_toolkit.data_generation) ImageNormalizationType (class in model_compression_toolkit.data_generation) ImagePipelineType (class in model_compression_toolkit.data_generation)

importance_metric (model_compression_toolkit.pruning.PruningConfig attribute) importance_scores (model_compression_toolkit.pruning.PruningInfo property) ImportanceMetric (class in model_compression_toolkit.pruning)

K

keras_data_generation_experimental() (in module model_compression_toolkit.data_generation) keras_export_model (class in model_compression_toolkit.exporter) keras_gradient_post_training_quantization() (in module model_compression_toolkit.gptq) keras_load_quantized_model() (in module model_compression_toolkit) keras_post_training_quantization() (in module model_compression_toolkit.ptq)

keras_pruning_experimental() (in module model_compression_toolkit.pruning) keras_quantization_aware_training_finalize_experimental() (in module model_compression_toolkit.qat) keras_quantization_aware_training_init_experimental() (in module model_compression_toolkit.qat) keras_resource_utilization_data() (in module model_compression_toolkit.core) KerasExportSerializationFormat (class in model_compression_toolkit.exporter) keys() (model_compression_toolkit.DefaultDict method)

L

LayerFilterParams (class in model_compression_toolkit.target_platform)

M

manual_activation_bit_width_selection_list (model_compression_toolkit.core.BitWidthConfig attribute) ManualBitWidthSelection (class in model_compression_toolkit.core.common.quantization.bit_width_config)

MixedPrecisionQuantizationConfig (class in model_compression_toolkit.core) MpDistanceWeighting (class in model_compression_toolkit.core)

N

NodeNameFilter (class in model_compression_toolkit.core.network_editor) NodeNameScopeFilter (class in model_compression_toolkit.core.network_editor)

NodeTypeFilter (class in model_compression_toolkit.core.network_editor) NotEq (class in model_compression_toolkit.target_platform) num_score_approximations (model_compression_toolkit.pruning.PruningConfig attribute)

O

OperationsSetToLayers (class in model_compression_toolkit.target_platform) OperationsToLayers (class in model_compression_toolkit.target_platform) OperatorSetConcat (class in model_compression_toolkit.target_platform)

OperatorsSet (class in model_compression_toolkit.target_platform) OpQuantizationConfig (class in model_compression_toolkit.target_platform) OutputLossType (class in model_compression_toolkit.data_generation)

P

pruning_masks (model_compression_toolkit.pruning.PruningInfo property) PruningConfig (class in model_compression_toolkit.pruning) PruningInfo (class in model_compression_toolkit.pruning) pytorch_data_generation_experimental() (in module model_compression_toolkit.data_generation) pytorch_export_model (class in model_compression_toolkit.exporter) pytorch_gradient_post_training_quantization() (in module model_compression_toolkit.gptq)

pytorch_post_training_quantization() (in module model_compression_toolkit.ptq) pytorch_pruning_experimental() (in module model_compression_toolkit.pruning) pytorch_quantization_aware_training_finalize_experimental() (in module model_compression_toolkit.qat) pytorch_quantization_aware_training_init_experimental() (in module model_compression_toolkit.qat) pytorch_resource_utilization_data() (in module model_compression_toolkit.core) PytorchExportSerializationFormat (class in model_compression_toolkit.exporter)

Q

QATConfig (class in model_compression_toolkit.qat) QuantizationConfig (class in model_compression_toolkit.core) QuantizationConfigOptions (class in model_compression_toolkit.target_platform)

QuantizationErrorMethod (class in model_compression_toolkit.core) QuantizationFormat (class in model_compression_toolkit.exporter) QuantizationMethod (class in model_compression_toolkit.target_platform)

R

ResourceUtilization (class in model_compression_toolkit.core)

RoundingType (class in model_compression_toolkit.gptq)

S

SchedulerType (class in model_compression_toolkit.data_generation) set_log_folder() (in module model_compression_toolkit)

Smaller (class in model_compression_toolkit.target_platform) SmallerEq (class in model_compression_toolkit.target_platform)

T

TargetPlatformCapabilities (class in model_compression_toolkit.target_platform) TargetPlatformModel (class in model_compression_toolkit.target_platform)

TrainableQuantizerActivationConfig (class in model_compression_toolkit.trainable_infrastructure) TrainableQuantizerWeightsConfig (class in model_compression_toolkit.trainable_infrastructure) TrainingMethod (class in model_compression_toolkit.qat)

X

xquant_report_keras_experimental() (in module model_compression_toolkit.xquant.keras.facade_xquant_report)

xquant_report_pytorch_experimental() (in module model_compression_toolkit.xquant.pytorch.facade_xquant_report) XQuantConfig (class in model_compression_toolkit.xquant.common.xquant_config)