Index

_

__version__ (in module akida)

A

abs() (quantizeml.tensors.FixedPoint method) ActivationDiscreteRelu (class in cnn2snn) adaround() (in module cnn2snn.calibration) Add (class in akida) (class in quantizeml.layers) add() (akida.Model method) add_classes() (akida.Model method) add_gamma_constraint() (in module akida_models.gamma_constraint) AddPositionEmbs (class in quantizeml.layers) AKD1000() (in module akida) akida module akida_models module akida_unet_portrait128() (in module akida_models) akida_unet_portrait128_pretrained() (in module akida_models) akidanet18_imagenet() (in module akida_models) akidanet18_imagenet_pretrained() (in module akida_models) akidanet_edge_imagenet() (in module akida_models)

akidanet_edge_imagenet_pretrained() (in module akida_models) akidanet_faceidentification_edge_pretrained() (in module akida_models) akidanet_faceidentification_pretrained() (in module akida_models) akidanet_imagenet() (in module akida_models) akidanet_imagenet_pretrained() (in module akida_models) akidanet_plantvillage_pretrained() (in module akida_models) akidanet_vww_pretrained() (in module akida_models) AkidaUnsupervised (class in akida) AkidaVersion (class in cnn2snn) AkidaVersion.v1 (in module cnn2snn.AkidaVersion) AkidaVersion.v2 (in module cnn2snn.AkidaVersion) align() (quantizeml.tensors.FixedPoint method) align_rescaling() (in module quantizeml.models.transforms) AlignedWeightQuantizer (class in quantizeml.layers) apply_weights_to_model() (in module quantizeml.models) assert_per_tensor() (quantizeml.tensors.QTensor method) Attention (class in akida) (class in quantizeml.layers) AudioProcessor (class in akida_models.kws.preprocessing) augment_sample() (in module akida_models.detection.data_augmentation)

B

backend (akida.Sequence property) BackendType (class in akida) BatchNormalization (class in akida) bc_deit_dist_ti16_imagenet_pretrained() (in module akida_models) bc_deit_ti16() (in module akida_models) bc_vit_ti16() (in module akida_models) bc_vit_ti16_imagenet_pretrained() (in module akida_models)

bias_correction() (in module cnn2snn.calibration) bitwidth (cnn2snn.quantization_ops.WeightQuantizer property) (cnn2snn.QuantizedActivation property) BoundingBox (class in akida_models.detection.processing) build() (quantizeml.layers.OutputQuantizer method) (quantizeml.layers.WeightQuantizer method) build_centernet_aug_pipeline() (in module akida_models.centernet.centernet_utils) build_yolo_aug_pipeline() (in module akida_models.detection.data_augmentation)

C

calibrate() (in module quantizeml.models) calibration_required() (in module quantizeml.models) call() (cnn2snn.QuantizedActivation method) (cnn2snn.QuantizedConv2D method) (cnn2snn.QuantizedDense method) (cnn2snn.QuantizedSeparableConv2D method) (quantizeml.layers.AlignedWeightQuantizer method) (quantizeml.layers.Dequantizer method) (quantizeml.layers.OutputQuantizer method) (quantizeml.layers.WeightQuantizer method) centernet_base() (in module akida_models) centernet_voc_pretrained() (in module akida_models) CenternetLoss (class in akida_models.centernet.centernet_loss) check_model_compatibility() (in module cnn2snn) (in module cnn2snn.compatibility_checks) check_quantization() (in module quantizeml.models) ClassToken (class in quantizeml.layers) clock_mode (akida.core.SocDriver property) ClockMode (class in akida.core.soc)

clone() (quantizeml.tensors.QTensor method) cnn2snn module col (akida.NP.Ident property) compile() (akida.Model method) compute_center_wh() (in module akida_models.detection.box_utils) compute_center_xy() (in module akida_models.detection.box_utils) compute_overlap() (in module akida_models.detection.box_utils) Concatenate (class in akida) Conv2D (class in akida) Conv2DTranspose (class in akida) conv_block() (in module akida_models.layer_blocks) conv_transpose_block() (in module akida_models.layer_blocks) convert() (in module cnn2snn) Convolutional (class in akida) Coord (class in akida_models.detection.data_utils) create_centernet_targets() (in module akida_models.centernet.centernet_utils) create_yolo_targets() (in module akida_models.detection.processing) current (akida.PowerEvent property) custom_pattern_scope() (in module quantizeml.onnx_support.quantization)

D

decode_output() (in module akida_models.centernet.centernet_processing) (in module akida_models.detection.processing) deit_b16() (in module akida_models) deit_imagenet() (in module akida_models) deit_s16() (in module akida_models) deit_ti16() (in module akida_models) DeitDistiller (class in akida_models.distiller) Dense1D (class in akida) Dense2D (class in akida) dense_block() (in module akida_models.layer_blocks) DepthwiseConv2D (class in akida) DepthwiseConv2DTranspose (class in akida) (class in quantizeml.layers)

Dequantizer (class in akida) (class in quantizeml.layers) Dequantizer() (in module quantizeml.onnx_support.layers) desc (akida.Device property) Device (class in akida) devices() (in module akida) display_macs() (in module akida_models.macs) Distiller (class in akida_models.distiller) dma_conf (akida.NP.Mesh property) dma_event (akida.NP.Mesh property) downscale() (quantizeml.tensors.FixedPoint method) ds_cnn_kws() (in module akida_models) ds_cnn_kws_pretrained() (in module akida_models) dump_config() (in module quantizeml.models)

E

evaluate() (akida.Model method) evaluate_map() (akida_models.detection.map_evaluation.MapEvaluation method) evaluate_sparsity() (in module akida) events() (akida.PowerMeter method)

expand() (quantizeml.tensors.FixedPoint method) extract_samples() (in module akida_models.extract) ExtractToken (class in akida) (class in quantizeml.layers)

F

fetch_file() (in module akida_models.utils) filters (akida.NP.Mapping property) fit() (akida.HardwareDevice method) (akida.Model method) FixedPoint (class in quantizeml.tensors) FixedPointRecorder (class in quantizeml.layers) floor (akida.PowerMeter property)

floor() (quantizeml.tensors.FixedPoint method) fold_batchnorm() (in module cnn2snn.transforms) fold_batchnorms() (in module quantizeml.models.transforms) forward() (akida.HardwareDevice method) (akida.Model method) from_dict() (akida.Model static method) from_json() (akida.Model static method) FullyConnected (class in akida)

G

generate_anchors() (in module akida_models.detection.generate_anchors) get() (akida.core.Optimizer method) get_akida_version() (in module cnn2snn) get_augmented_data_for_wav() (akida_models.kws.preprocessing.AudioProcessor method) get_coco_dataset() (in module akida_models.detection.coco.data) get_config() (cnn2snn.quantization_ops.WeightQuantizer method) (cnn2snn.QuantizedActivation method) (cnn2snn.QuantizedConv2D method) (cnn2snn.QuantizedDense method) (cnn2snn.QuantizedReLU method) (cnn2snn.QuantizedSeparableConv2D method) (cnn2snn.StdWeightQuantizer method) (quantizeml.layers.OutputQuantizer method) (quantizeml.layers.WeightQuantizer method) get_data() (akida_models.kws.preprocessing.AudioProcessor method) get_dataset_length() (in module akida_models.detection.data_utils) get_detection_datasets() (in module akida_models.detection.data) get_features_for_wav() (akida_models.kws.preprocessing.AudioProcessor method)

get_flops() (in module akida_models.macs) get_label() (akida_models.detection.processing.BoundingBox method) get_layer() (akida.Model method) get_layer_count() (akida.Model method) get_learning_histogram() (akida.Layer method) get_model_path() (in module akida_models.model_io) get_modelnet() (in module akida_models.modelnet40.preprocessing) get_modelnet_from_file() (in module akida_models.modelnet40.preprocessing) get_params_by_version() (in module akida_models.utils) get_preprocessed_samples() (in module akida_models.imagenet) get_quantization_params() (in module quantizeml.models) get_score() (akida_models.detection.processing.BoundingBox method) get_tensorboard_callback() (in module akida_models.utils) get_variable() (akida.Layer method) get_variable_names() (akida.Layer method) get_voc_dataset() (in module akida_models.detection.voc.data) get_widerface_dataset() (in module akida_models.detection.widerface.data) gxnor_mnist() (in module akida_models) gxnor_mnist_pretrained() (in module akida_models)

H

HardwareDevice (class in akida)

HwVersion (class in akida)

I

id (akida.NP.Ident property) ident (akida.NP.Info property) (akida.NP.Mapping property) Ident (class in akida.NP) inbounds (akida.Layer property) index_to_label() (in module akida_models.imagenet.preprocessing) inference_power_events (akida.HardwareDevice property) Info (class in akida.NP) init_random_vars() (in module akida_models.detection.data_augmentation) input_bits (akida.Layer property) input_dims (akida.Layer property)

input_shape (akida.Model property) InputConv2D (class in akida) InputConvolutional (class in akida) InputData (class in akida) InputQuantizer() (in module quantizeml.onnx_support.layers) insert_layer() (in module quantizeml.models.transforms) insert_rescaling() (in module quantizeml.models.transforms) invert_batchnorm_pooling() (in module cnn2snn.transforms) (in module quantizeml.models.transforms) invert_relu_maxpool() (in module quantizeml.models.transforms) iou() (akida_models.detection.processing.BoundingBox method) ip_version (akida.Model property)

K

KLDistillationLoss() (in module akida_models.distiller)

L

Layer (class in akida) LayerMadNormalization (class in quantizeml.layers) layers (akida.Model property) (akida.Pass property) LayerType (class in akida) learn_enabled (akida.HardwareDevice property) learn_mem (akida.HardwareDevice property)

learning (akida.Model property) LinearWeightQuantizer (class in cnn2snn.quantization_ops) load_data() (in module akida_models.utk_face.preprocessing) load_image() (in module akida_models.detection.processing) load_model() (in module akida_models.model_io) (in module quantizeml.models) load_quantized_model() (in module cnn2snn) load_weights() (in module akida_models.model_io)

M

MadNorm (class in akida) major_rev (akida.HwVersion property) map() (akida.Model method) MapEvaluation (class in akida_models.detection.map_evaluation) mapping (akida.Layer property) Mapping (class in akida.Layer) (class in akida.NP) max_frac_bits() (quantizeml.tensors.FixedPoint static method) (quantizeml.tensors.QFloat static method) max_range_() (cnn2snn.MaxPerAxisQuantizer method) (cnn2snn.MaxQuantizer static method) MaxPerAxisQuantizer (class in cnn2snn) MaxQuantizer (class in cnn2snn) maybe_download_and_extract_dataset() (akida_models.kws.preprocessing.AudioProcessor static method) memory (akida.HardwareDevice property)

mesh (akida.Device property) Mesh (class in akida.NP) metrics (akida.HardwareDevice property) (akida.Model property) minor_rev (akida.HwVersion property) MinValueConstraint (class in cnn2snn.min_value_constraint) mlp_block() (in module akida_models.layer_blocks) mobilenet_imagenet() (in module akida_models) mobilenet_imagenet_pretrained() (in module akida_models) Model (class in akida) module akida akida_models cnn2snn quantizeml multi_head_attention() (in module akida_models.layer_blocks)

N

name (akida.Layer property) (akida.Sequence property) (quantizeml.tensors.FixedPoint property) (quantizeml.tensors.QFloat property) (quantizeml.tensors.QTensor property)

NonTrackFixedPointVariable (class in quantizeml.layers) NonTrackVariable (class in quantizeml.layers) normalize_separable_layer() (in module cnn2snn.transforms) normalize_separable_model() (in module cnn2snn.transforms) nps (akida.Layer.Mapping property) (akida.NP.Mesh property)

O

on_epoch_end() (akida_models.detection.map_evaluation.MapEvaluation method) OnnxLayer() (in module quantizeml.onnx_support.layers) optimal_scales() (quantizeml.tensors.QFloat static method) Optimizer (class in akida.core)

output_dims (akida.Layer property) output_shape (akida.Model property) output_signed (akida.Layer property) OutputObserver (class in quantizeml.layers) OutputQuantizer (class in quantizeml.layers)

P

PaddedConv2D (class in quantizeml.layers) Padding (class in akida) parameters (akida.Layer property) Pass (class in akida) passes (akida.Sequence property) per_tensor (quantizeml.tensors.FixedPoint property) (quantizeml.tensors.QFloat property) (quantizeml.tensors.QTensor property) pointnet_plus_modelnet40() (in module akida_models) pointnet_plus_modelnet40_pretrained() (in module akida_models) PoolType (class in akida) pop_layer() (akida.Model method) power (akida.PowerEvent property) power_events (akida.Model property) power_measurement_enabled (akida.core.SocDriver property) power_meter (akida.core.SocDriver property) PowerEvent (class in akida)

PowerMeter (class in akida) predict() (akida.HardwareDevice method) (akida.Model method) predict_classes() (akida.Model method) prepare_background_data() (akida_models.kws.preprocessing.AudioProcessor method) prepare_data_index() (akida_models.kws.preprocessing.AudioProcessor method) prepare_processing_graph() (akida_models.kws.preprocessing.AudioProcessor method) preprocess_dataset() (in module akida_models.detection.preprocess_data) preprocess_image() (in module akida_models.detection.processing) (in module akida_models.imagenet.preprocessing) product_id (akida.HwVersion property) program (akida.HardwareDevice property) (akida.Sequence property) program_external() (akida.HardwareDevice method) program_parts (akida.Sequence property) promote() (quantizeml.tensors.FixedPoint method) (quantizeml.tensors.QFloat method)

Q

QFloat (class in quantizeml.tensors) QFloatRecorder (class in quantizeml.layers) QTensor (class in quantizeml.tensors) quantization() (in module quantizeml.models) QuantizationParams (class in quantizeml.models) QuantizationSampler() (in module cnn2snn.calibration) quantize() (cnn2snn.quantization_ops.LinearWeightQuantizer method) (cnn2snn.quantization_ops.WeightQuantizer method) (in module cnn2snn) (in module quantizeml.models) (quantizeml.tensors.FixedPoint static method) (quantizeml.tensors.QFloat static method) quantize_layer() (in module cnn2snn) quantize_scales() (quantizeml.tensors.QFloat static method) quantized_activation() (cnn2snn.QuantizedActivation method) QuantizedActivation (class in cnn2snn) QuantizedAdd (class in quantizeml.layers) QuantizedAdd() (in module quantizeml.onnx_support.layers) QuantizedAddPositionEmbs (class in quantizeml.layers) QuantizedAttention (class in quantizeml.layers) QuantizedBatchNormalization (class in quantizeml.layers) QuantizedClassToken (class in quantizeml.layers) QuantizedConcatenate (class in quantizeml.layers) QuantizedConv2D (class in cnn2snn) (class in quantizeml.layers)

QuantizedConv2D() (in module quantizeml.onnx_support.layers) QuantizedConv2DTranspose (class in quantizeml.layers) QuantizedDense (class in cnn2snn) (class in quantizeml.layers) QuantizedDense1D() (in module quantizeml.onnx_support.layers) QuantizedDepthwise2D() (in module quantizeml.onnx_support.layers) QuantizedDepthwiseConv2D (class in quantizeml.layers) QuantizedDepthwiseConv2DTranspose (class in quantizeml.layers) QuantizedDropout (class in quantizeml.layers) QuantizedExtractToken (class in quantizeml.layers) QuantizedFlatten (class in quantizeml.layers) QuantizedGlobalAveragePooling2D (class in quantizeml.layers) QuantizedLayerNormalization (class in quantizeml.layers) QuantizedMaxPool2D (class in quantizeml.layers) QuantizedPermute (class in quantizeml.layers) QuantizedReLU (class in cnn2snn) (class in quantizeml.layers) QuantizedRescaling (class in quantizeml.layers) QuantizedReshape (class in quantizeml.layers) QuantizedSeparableConv2D (class in cnn2snn) (class in quantizeml.layers) QuantizedShiftmax (class in quantizeml.layers) quantizeml module Quantizer (class in quantizeml.layers)

R

record_quantization_variables() (in module quantizeml.models) recording() (in module quantizeml.layers) remove_empty_objects() (in module akida_models.detection.data_utils) remove_zeropadding2d() (in module quantizeml.models.transforms) replace_lambda() (in module quantizeml.models.transforms)

rescale() (quantizeml.tensors.FixedPoint method) reset_top_memory() (akida.HardwareDevice method) reshape() (in module cnn2snn.transforms) resize_image() (in module akida_models.detection.data_augmentation) row (akida.NP.Ident property)

S

sanitize() (in module quantizeml.models.transforms) save() (akida.Model method) save_weights() (in module akida_models.model_io) scale_factor() (cnn2snn.MaxQuantizer method) (cnn2snn.quantization_ops.LinearWeightQuantizer method) (cnn2snn.quantization_ops.WeightQuantizer method) (cnn2snn.StdWeightQuantizer method) separable_conv_block() (in module akida_models.layer_blocks) SeparableConvolutional (class in akida) sepconv_transpose_block() (in module akida_models.layer_blocks) Sequence (class in akida) sequences (akida.Model property) sequentialize() (in module cnn2snn.transforms) set_akida_version() (in module cnn2snn) set_variable() (akida.Layer method) shift() (quantizeml.tensors.FixedPoint method) Shiftmax (class in akida) (class in quantizeml.layers) shiftmax() (in module quantizeml.layers)

sigma_() (cnn2snn.StdPerAxisQuantizer method) (cnn2snn.StdWeightQuantizer static method) sign (quantizeml.tensors.FixedPoint property) single_buffer (akida.NP.Mapping property) soc (akida.HardwareDevice property) SocDriver (class in akida.core) Spec (quantizeml.tensors.FixedPoint attribute) (quantizeml.tensors.QFloat attribute) (quantizeml.tensors.QTensor attribute) statistics (akida.Model property) (in module akida) StdPerAxisQuantizer (class in cnn2snn) StdWeightQuantizer (class in cnn2snn) Stem (class in akida) step (cnn2snn.ActivationDiscreteRelu property) (cnn2snn.QuantizedActivation property) (cnn2snn.QuantizedReLU property) string_to_softmax() (in module quantizeml.layers) summary() (akida.Model method) syncretize() (in module cnn2snn.transforms)

T

TensorRecorder (class in quantizeml.layers) threshold (cnn2snn.QuantizedActivation property) (cnn2snn.StdWeightQuantizer property) to_buffer() (akida.Model method) to_dict() (akida.Layer method) (akida.Model method) to_fixed_point() (quantizeml.tensors.QFloat method) to_float() (quantizeml.tensors.FixedPoint method) (quantizeml.tensors.QFloat method) (quantizeml.tensors.QTensor method)

to_json() (akida.Model method) transformer_block() (in module akida_models.layer_blocks) ts (akida.PowerEvent property) TwoNodesIP() (in module akida) type (akida.NP.Mapping property) Type (class in akida.NP) types (akida.NP.Info property)

U

unfuse_sepconv2d() (in module akida_models.unfuse_sepconv_layers) unprogram() (akida.HardwareDevice method)

upscale() (quantizeml.tensors.FixedPoint method) (quantizeml.tensors.QFloat method)

V

variables (akida.Layer property) vendor_id (akida.HwVersion property) version (akida.Device property) vgg_utk_face() (in module akida_models) vgg_utk_face_pretrained() (in module akida_models) vit_b16() (in module akida_models) vit_b32() (in module akida_models)

vit_imagenet() (in module akida_models) vit_l16() (in module akida_models) vit_l32() (in module akida_models) vit_s16() (in module akida_models) vit_s32() (in module akida_models) vit_ti16() (in module akida_models) VitEncoderBlock (class in akida) voltage (akida.PowerEvent property)

W

WeightQuantizer (class in cnn2snn.quantization_ops) (class in quantizeml.layers)

weights_homogeneity() (in module cnn2snn.transforms)

X

xywh_to_xyxy() (in module akida_models.detection.box_utils)

xyxy_to_xywh() (in module akida_models.detection.box_utils)

Y

yolo_base() (in module akida_models) yolo_head_block() (in module akida_models.layer_blocks)

yolo_voc_pretrained() (in module akida_models) yolo_widerface_pretrained() (in module akida_models)