Index

A

add_metadata (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.TargetPlatformCapabilities attribute)

AttributeFilter (class in model_compression_toolkit.target_platform_capabilities) AttributeQuantizationConfig (class in model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema)

B

base_config (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.QuantizationConfigOptions attribute) 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) default_qco (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.TargetPlatformCapabilities attribute) DefaultDict (class in model_compression_toolkit)

E

EditRule (class in model_compression_toolkit.core.network_editor)

enable_weights_quantization (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.AttributeQuantizationConfig attribute) Eq (class in model_compression_toolkit.target_platform_capabilities)

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_capabilities.schema.mct_current_schema) fusing_patterns (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.TargetPlatformCapabilities attribute)

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) GradualActivationQuantizationConfig (class in model_compression_toolkit.gptq) Greater (class in model_compression_toolkit.target_platform_capabilities) GreaterEq (class in model_compression_toolkit.target_platform_capabilities)

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) is_simd_padding (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.TargetPlatformCapabilities attribute)

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

lut_values_bitwidth (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.AttributeQuantizationConfig attribute)

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

name (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.Fusing attribute) (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.OperatorSetGroup attribute) (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.OperatorsSet attribute) (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.TargetPlatformCapabilities attribute)

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_capabilities) num_score_approximations (model_compression_toolkit.pruning.PruningConfig attribute)

O

operator_groups (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.Fusing attribute) operator_set (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.TargetPlatformCapabilities attribute) operators_set (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.OperatorSetGroup attribute)

OperatorSetGroup (class in model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema) OperatorsSet (class in model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema) OpQuantizationConfig (class in model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema) 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) qc_options (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.OperatorsSet attribute) QFractionLinearAnnealingConfig (class in model_compression_toolkit.gptq) quantization_configurations (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.QuantizationConfigOptions attribute)

QuantizationConfig (class in model_compression_toolkit.core) QuantizationConfigOptions (class in model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema) QuantizationErrorMethod (class in model_compression_toolkit.core) QuantizationFormat (class in model_compression_toolkit.exporter) QuantizationMethod (class in model_compression_toolkit.target_platform_capabilities)

R

ResourceUtilization (class in model_compression_toolkit.core)

RoundingType (class in model_compression_toolkit.gptq)

S

SchedulerType (class in model_compression_toolkit.data_generation) SCHEMA_VERSION (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.TargetPlatformCapabilities attribute)

set_log_folder() (in module model_compression_toolkit) Smaller (class in model_compression_toolkit.target_platform_capabilities) SmallerEq (class in model_compression_toolkit.target_platform_capabilities)

T

TargetPlatformCapabilities (class in model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema) tpc_minor_version (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.TargetPlatformCapabilities attribute) tpc_patch_version (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.TargetPlatformCapabilities attribute) tpc_platform_type (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.TargetPlatformCapabilities attribute)

TrainableQuantizerActivationConfig (class in model_compression_toolkit.trainable_infrastructure) TrainableQuantizerWeightsConfig (class in model_compression_toolkit.trainable_infrastructure) TrainingMethod (class in model_compression_toolkit.trainable_infrastructure) type (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.OperatorsSet attribute)

W

weights_n_bits (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.AttributeQuantizationConfig attribute)

weights_per_channel_threshold (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.AttributeQuantizationConfig attribute) weights_quantization_method (model_compression_toolkit.target_platform_capabilities.schema.mct_current_schema.AttributeQuantizationConfig attribute)

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)