Index

_

__version__ (in module akida)

A

abs() (quantizeml.tensors.FixedPoint method) ActivationType (class in akida) 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) AKD1000() (in module akida) AKD1500() (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) AlignedWeightQuantizer (class in quantizeml.layers) AllNps (akida.MapMode attribute) apply_affine_transform_to_bboxes() (in module akida_models.detection.processing) apply_weights_to_model() (in module quantizeml.models) assert_per_tensor() (quantizeml.tensors.QTensor method) 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) BoundingBox (class in akida_models.detection.processing) BufferTempConv (class in akida) (class in quantizeml.layers)

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() (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) channel (akida.NP.Ident property) check_model_compatibility() (in module cnn2snn) clock_mode (akida.core.SocDriver property) ClockMode (class in akida.core.soc) clone() (quantizeml.tensors.QTensor method) cnn2snn module cnp_max_filters (akida.MapConstraints property) cnp_max_filters_default (akida.MapConstraints property) cnp_max_height (akida.MapConstraints property) cnp_max_height_default (akida.MapConstraints property) cnp_max_width (akida.MapConstraints property) cnp_max_width_default (akida.MapConstraints property)

col (akida.NP.Ident property) compile() (akida.Model method) Component (class in akida.NP) component_count (akida.Model property) 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) compute_sparsity() (in module akida_models.sparsity) Concatenate (class in akida) Conv2D (class in akida) Conv2DTranspose (class in akida) conv3d_block() (in module akida_models.layer_blocks) conv_block() (in module akida_models.layer_blocks) conv_transpose_block() (in module akida_models.layer_blocks) convert() (in module cnn2snn) convert_to_buffer() (in module akida_models.tenn_spatiotemporal) Convolutional (class in akida) Coord (class in akida_models.detection.data_utils) create_centernet_targets() (in module akida_models.centernet.centernet_utils) create_device() (in module akida) 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) Dense1D (class in akida) dense_block() (in module akida_models.layer_blocks) DepthwiseBufferTempConv (class in akida) (class in quantizeml.layers) DepthwiseConv2D (class in akida) DepthwiseConv2DTranspose (class in akida) (class in quantizeml.layers) Dequantizer (class in akida) (class in quantizeml.layers) (class in quantizeml.onnx_support.layers)

desc (akida.Device property) desize_bboxes() (in module akida_models.detection.processing) device (akida.MapConstraints property) (akida.Model property) Device (class in akida) devices() (in module akida) 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) events() (akida.PowerMeter method) expand() (quantizeml.tensors.FixedPoint method) (quantizeml.tensors.QFloat method)

export_to_onnx() (in module tenns_modules) external_memory_size (akida.Model property) external_size (akida.NP.MemoryInfo property) extract_samples() (in module akida_models.extract)

F

fetch_file() (in module akida_models.utils) filters (akida.NP.Component 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) forward() (akida.HardwareDevice method) (akida.Model method) frac_bits (quantizeml.layers.OutputQuantizer property) 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_affine_transform() (in module akida_models.detection.processing) 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() (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_label() (akida_models.detection.processing.BoundingBox method) get_layer() (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) HwPr (akida.MapMode attribute)

hwpr_loopitself (akida.MapConstraints property) HwVersion (class in akida)

I

id (akida.NP.Ident property) ident (akida.NP.Component property) (akida.NP.Info 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) input_size (akida.NP.MemoryInfo property) InputConv2D (class in akida) InputConvolutional (class in akida) InputData (class in akida) InputQuantizer (class in quantizeml.onnx_support.layers) iou() (akida_models.detection.processing.BoundingBox method) ip_version (akida.Model property)

K

KLDistillationLoss() (in module akida_models.distiller)

L

Layer (class in akida) Layer.Mapping (class in akida) layer_count (akida.Model property) 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) 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) load_weights() (in module akida_models.model_io)

M

major_rev (akida.HwVersion property) map() (akida.Model method) MapConstraints (class in akida) MapEvaluation (class in akida_models.detection.map_evaluation) MapMode (class in akida) mapping (akida.Layer property) max_frac_bits() (quantizeml.tensors.FixedPoint static method) (quantizeml.tensors.QFloat static method) maybe_download_and_extract_dataset() (akida_models.kws.preprocessing.AudioProcessor static method) measure_cumulative_quantization_error() (in module quantizeml.analysis) measure_layer_quantization_error() (in module quantizeml.analysis) measure_weight_quantization_error() (in module quantizeml.analysis) mem_info (akida.NP.Component property) memory (akida.HardwareDevice property) MemoryInfo (class in akida.NP)

mesh (akida.Device property) Mesh (class in akida.NP) metrics (akida.HardwareDevice property) (akida.Model property) Minimal (akida.MapMode attribute) minor_rev (akida.HwVersion property) mobilenet_imagenet() (in module akida_models) mobilenet_imagenet_pretrained() (in module akida_models) Model (class in akida) module akida akida_models cnn2snn quantizeml tenns_modules

N

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

NonTrackFixedPointVariable (class in quantizeml.layers) NonTrackVariable (class in quantizeml.layers) np_input_sram_size (akida.NP.Mesh property) np_weight_sram_size (akida.NP.Mesh property) nps (akida.Layer.Mapping property) (akida.NP.Mesh property) NpSpace (class in akida.NP)

O

on_epoch_end() (akida_models.detection.map_evaluation.MapEvaluation method) OnnxLayer (class in 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) plot_kernel_distribution() (in module quantizeml.analysis) 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) print_metric_table() (in module quantizeml.analysis.tools) 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) quantize() (in module quantizeml.models) (quantizeml.tensors.FixedPoint static method) (quantizeml.tensors.QFloat static method) quantize_scales() (quantizeml.tensors.QFloat static method) QuantizedAdd (class in quantizeml.layers) (class in quantizeml.onnx_support.layers) QuantizedBufferTempConv (class in quantizeml.layers) (class in quantizeml.onnx_support.layers) QuantizedConcat (class in quantizeml.onnx_support.layers) QuantizedConcatenate (class in quantizeml.layers) QuantizedConv2D (class in quantizeml.layers) (class in quantizeml.onnx_support.layers) QuantizedConv2DTranspose (class in quantizeml.layers) (class in quantizeml.onnx_support.layers)

QuantizedDense (class in quantizeml.layers) QuantizedDense1D (class in quantizeml.onnx_support.layers) QuantizedDepthwise2D (class in quantizeml.onnx_support.layers) QuantizedDepthwise2DTranspose (class in quantizeml.onnx_support.layers) QuantizedDepthwiseBufferTempConv (class in quantizeml.layers) (class in quantizeml.onnx_support.layers) QuantizedDepthwiseConv2D (class in quantizeml.layers) QuantizedDepthwiseConv2DTranspose (class in quantizeml.layers) QuantizedDropout (class in quantizeml.layers) QuantizedFlatten (class in quantizeml.layers) QuantizedGlobalAveragePooling2D (class in quantizeml.layers) QuantizedMaxPool2D (class in quantizeml.layers) QuantizedPermute (class in quantizeml.layers) QuantizedReLU (class in quantizeml.layers) QuantizedRescaling (class in quantizeml.layers) QuantizedReshape (class in quantizeml.layers) QuantizedSeparableConv2D (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) rescale() (quantizeml.tensors.FixedPoint method)

reset_buffers() (in module quantizeml.layers) (in module quantizeml.onnx_support.layers.buffertempconv) reset_top_memory() (akida.HardwareDevice method) row (akida.NP.Ident property)

S

sanitize() (in module quantizeml.models.transforms) Saturation() (in module quantizeml.analysis.tools) save() (akida.Model method) save_model() (in module quantizeml) save_weights() (in module akida_models.model_io) select_nps() (akida.MapConstraints 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) set_akida_version() (in module cnn2snn) set_variable() (akida.Layer method) shape (akida.NP.NpSpace property) shift() (quantizeml.tensors.FixedPoint method) sign (quantizeml.tensors.FixedPoint property) single_buffer (akida.NP.Component property)

SixNodesIPv2() (in module akida) skip_dmas (akida.NP.Mesh property) skipdma_loads (akida.Layer.Mapping property) skipdma_stores (akida.Layer.Mapping property) SMAPE() (in module quantizeml.analysis.tools) soc (akida.HardwareDevice property) SocDriver (class in akida.core) spatial_partition (akida.NP.Component property) SpatialBlock (class in tenns_modules) spatiotemporal_block() (in module akida_models.layer_blocks) SpatioTemporalBlock (class in tenns_modules) Spec (quantizeml.tensors.FixedPoint attribute) (quantizeml.tensors.QFloat attribute) (quantizeml.tensors.QTensor attribute) splittable (akida.Layer property) start_neuron (akida.NP.Component property) statistics (akida.Model property) summary() (akida.Model method)

T

TemporalBlock (class in tenns_modules) tenn_spatiotemporal_dvs128() (in module akida_models) tenn_spatiotemporal_dvs128_pretrained() (in module akida_models) tenn_spatiotemporal_eye() (in module akida_models) tenn_spatiotemporal_eye_pretrained() (in module akida_models) tenn_spatiotemporal_jester() (in module akida_models) tenn_spatiotemporal_jester_pretrained() (in module akida_models) tenns_modules module TensorRecorder (class in quantizeml.layers) 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) ts (akida.PowerEvent property) TwoNodesIPv1() (in module akida) TwoNodesIPv2() (in module akida) type (akida.NP.Component 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) voltage (akida.PowerEvent property)

W

weight_size (akida.NP.MemoryInfo property)

WeightQuantizer (class in quantizeml.layers)

X

x (akida.NP.NpSpace property)

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

Y

y (akida.NP.NpSpace property) 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)