API reference

• Akida runtime
  • __version__
  • Model
    • Model
      • Model.add()
      • Model.add_classes()
      • Model.compile()
      • Model.component_count
      • Model.device
      • Model.evaluate()
      • Model.external_memory_size
      • Model.fit()
      • Model.forward()
      • Model.from_dict()
      • Model.from_json()
      • Model.get_layer()
      • Model.input_shape
      • Model.ip_version
      • Model.layer_count
      • Model.layers
      • Model.learning
      • Model.macs
      • Model.map()
      • Model.metrics
      • Model.output_shape
      • Model.pop_layer()
      • Model.power_events
      • Model.predict()
      • Model.predict_classes()
      • Model.save()
      • Model.sequences
      • Model.statistics
      • Model.summary()
      • Model.to_buffer()
      • Model.to_dict()
      • Model.to_json()
  • Akida layers
    • Layer API
      • Layer
        • Layer.Mapping
          • Layer.Mapping.nps
          • Layer.Mapping.skipdma_loads
          • Layer.Mapping.skipdma_stores
        • Layer.get_learning_histogram()
        • Layer.get_variable()
        • Layer.get_variable_names()
        • Layer.inbounds
        • Layer.input_bits
        • Layer.input_dims
        • Layer.is_target_component()
        • Layer.macs
        • Layer.mapping
        • Layer.name
        • Layer.output_dims
        • Layer.output_signed
        • Layer.parameters
        • Layer.set_variable()
        • Layer.splittable
        • Layer.to_dict()
        • Layer.variables
    • Common layer
      • InputData
      • Quantizer
    • Akida V1 layers
      • InputConvolutional
      • FullyConnected
      • Convolutional
      • SeparableConvolutional
    • Akida V2 layers
      • InputConv2D
      • Conv2D
      • Conv2DTranspose
      • Dense1D
      • DepthwiseConv2D
      • DepthwiseConv2DTranspose
      • BufferTempConv
      • DepthwiseBufferTempConv
      • Add
      • Concatenate
      • Dequantizer
    • Akida Pico layers
      • StatefulRecurrent
      • PicoPostProcessing
  • Layer parameters
    • LayerType
      • LayerType
    • ActivationType
      • ActivationType
    • Padding
      • Padding
    • PoolType
      • PoolType
  • Optimizers
    • Optimizer
      • Optimizer.get()
    • AkidaUnsupervised
  • Sequence
    • Sequence
      • Sequence
        • Sequence.backend
        • Sequence.name
        • Sequence.passes
        • Sequence.program
        • Sequence.program_parts
    • BackendType
      • BackendType
    • Pass
      • Pass
        • Pass.layers
  • Device
    • Device
      • Device
        • Device.desc
        • Device.ip_version
        • Device.mesh
        • Device.version
      • devices()
      • AKD1000()
      • AKD1500()
      • TwoNodesIPv1()
      • TwoNodesIPv2()
      • SixNodesIPv2()
      • PicoIP()
      • create_device()
      • compute_minimal_memory()
      • compute_min_device()
      • compute_common_device()
    • HwVersion
      • HwVersion
        • HwVersion.ip_version
        • HwVersion.major_rev
        • HwVersion.minor_rev
        • HwVersion.product_id
        • HwVersion.vendor_id
  • HwDevice
    • HwDevice
      • HardwareDevice
        • HardwareDevice.fit()
        • HardwareDevice.forward()
        • HardwareDevice.inference_power_events
        • HardwareDevice.learn_enabled
        • HardwareDevice.learn_mem
        • HardwareDevice.memory
        • HardwareDevice.metrics
        • HardwareDevice.predict()
        • HardwareDevice.program
        • HardwareDevice.program_external()
        • HardwareDevice.reset_top_memory()
        • HardwareDevice.soc
        • HardwareDevice.unprogram()
    • SocDriver
      • SocDriver
        • SocDriver.clock_mode
        • SocDriver.power_measurement_enabled
        • SocDriver.power_meter
    • ClockMode
      • ClockMode
  • PowerMeter
    • PowerMeter
      • PowerMeter.events()
      • PowerMeter.floor
    • PowerEvent
      • PowerEvent.current
      • PowerEvent.power
      • PowerEvent.ts
      • PowerEvent.voltage
  • NP
    • Mesh
      • Mesh.dma_conf
      • Mesh.dma_event
      • Mesh.hrc
      • Mesh.np_sram_size
      • Mesh.nps
      • Mesh.skip_dmas
    • Info
      • Info.has_lut
      • Info.hrc()
      • Info.ident
      • Info.types
    • Ident
      • Ident.channel
      • Ident.col
      • Ident.id
      • Ident.row
    • NpSpace
      • NpSpace.shape
      • NpSpace.x
      • NpSpace.y
    • Type
    • MemoryInfo
      • MemoryInfo.evsram_32b_size
      • MemoryInfo.external_size
      • MemoryInfo.fsram_64b_size
      • MemoryInfo.input_size
      • MemoryInfo.stsram_32b_size
      • MemoryInfo.tsram_51b_size
      • MemoryInfo.weight_size
    • Component
      • Component.filters
      • Component.ident
      • Component.mem_info
      • Component.single_buffer
      • Component.spatial_partition
      • Component.start_neuron
      • Component.type
    • SramSize
      • SramSize.evsram_32b_size
      • SramSize.fsram_64b_size
      • SramSize.input_bytes
      • SramSize.stsram_32b_size
      • SramSize.tsram_51b_size
      • SramSize.weight_bytes
  • Mapping
    • MapMode
      • MapMode.AllNps
      • MapMode.HwPr
      • MapMode.Minimal
    • MapConstraints
      • MapConstraints.cnp_max_filters
      • MapConstraints.cnp_max_filters_default
      • MapConstraints.cnp_max_height
      • MapConstraints.cnp_max_height_default
      • MapConstraints.cnp_max_width
      • MapConstraints.cnp_max_width_default
      • MapConstraints.device
      • MapConstraints.hwpr_loopitself
      • MapConstraints.next_layer()
      • MapConstraints.select_nps()
• CNN2SNN
  • Akida version
    • AkidaVersion
      • AkidaVersion.v1
      • AkidaVersion.v2
    • get_akida_version()
    • set_akida_version()
  • Conversion
    • convert()
    • check_model_compatibility()
• QuantizeML
  • Layers
    • Reshaping
      • QuantizedFlatten
      • QuantizedPermute
      • QuantizedReshape
    • Activations
      • QuantizedReLU
      • QuantizedActivation
    • Convolution
      • PaddedConv2D
      • QuantizedConv2D
      • QuantizedConv2DTranspose
    • Depthwise convolution
      • QuantizedDepthwiseConv2D
      • DepthwiseConv2DTranspose
      • QuantizedDepthwiseConv2DTranspose
    • Separable convolution
      • QuantizedSeparableConv2D
    • Temporal convolution
      • BufferTempConv
      • QuantizedBufferTempConv
      • DepthwiseBufferTempConv
      • QuantizedDepthwiseBufferTempConv
    • Dense
      • QuantizedDense
    • Skip connection
      • Add
      • QuantizedAdd
      • QuantizedConcatenate
    • Pooling
      • QuantizedMaxPool2D
      • QuantizedGlobalAveragePooling2D
    • Rescaling
      • QuantizedRescaling
    • Dropout
      • QuantizedDropout
    • Pico
      • StatefulRecurrent
      • QuantizedStatefulRecurrent
      • StatefulProjection
      • QuantizedStatefulProjection
      • PicoPostProcessing
      • QuantizedPicoPostProcessing
      • reset_states()
      • update_batch_size()
    • Quantizer/Dequantizer
      • InputQuantizer
        • InputQuantizer.build()
        • InputQuantizer.call()
        • InputQuantizer.get_config()
      • Dequantizer
        • Dequantizer.call()
    • Calibration
      • OutputObserver
    • Recording
      • recording()
      • TensorRecorder
      • FixedPointRecorder
      • QFloatRecorder
      • NonTrackVariable
      • NonTrackFixedPointVariable
  • Models
    • Quantization
      • sanitize()
      • quantize()
      • dump_config()
      • record_quantization_variables()
    • Quantization parameters
      • QuantizationParams
      • get_quantization_params()
      • quantization()
    • Calibration
      • calibrate()
    • Utils
      • apply_weights_to_model()
    • Reset buffers
      • reset_buffers()
  • Tensors
    • QTensor
      • QTensor
        • QTensor.Spec
        • QTensor.assert_per_tensor()
        • QTensor.clone()
        • QTensor.name
        • QTensor.per_tensor
        • QTensor.to_float()
    • FixedPoint
      • FixedPoint
        • FixedPoint.Spec
        • FixedPoint.align()
        • FixedPoint.downscale()
        • FixedPoint.expand()
        • FixedPoint.max_frac_bits()
        • FixedPoint.name
        • FixedPoint.per_tensor
        • FixedPoint.promote()
        • FixedPoint.quantize()
        • FixedPoint.rescale()
        • FixedPoint.shift()
        • FixedPoint.sign
        • FixedPoint.to_float()
        • FixedPoint.upscale()
    • QFloat
      • QFloat
        • QFloat.Spec
        • QFloat.expand()
        • QFloat.max_frac_bits()
        • QFloat.name
        • QFloat.optimal_scales()
        • QFloat.per_tensor
        • QFloat.promote()
        • QFloat.quantize()
        • QFloat.quantize_scales()
        • QFloat.to_fixed_point()
        • QFloat.to_float()
        • QFloat.upscale()
  • ONNX support
    • Layers
      • OnnxLayer
      • QuantizedConv2D
      • QuantizedDepthwise2D
      • QuantizedConv2DTranspose
      • QuantizedDepthwise2DTranspose
      • QuantizedBufferTempConv
      • QuantizedDepthwiseBufferTempConv
      • QuantizedDense1D
      • QuantizedAdd
      • QuantizedConcat
      • InputQuantizer
      • Dequantizer
  • Model I/O
    • load_model()
    • save_model()
  • Analysis
    • Kernel distribution
      • plot_kernel_distribution()
    • Quantization error
      • measure_layer_quantization_error()
      • measure_cumulative_quantization_error()
      • measure_weight_quantization_error()
    • Metrics
      • SMAPE()
      • Saturation()
      • print_metric_table()
• Akida models
  • Layer blocks
    • CNN blocks
      • conv_block()
      • separable_conv_block()
      • dense_block()
    • Transposed blocks
      • conv_transpose_block()
      • sepconv_transpose_block()
    • Detection block
      • yolo_head_block()
    • Spatiotemporal blocks
      • conv3d_block()
      • spatiotemporal_block()
    • Kernelized block
      • kernelized_block()
  • Helpers
    • Gamma constraint
      • add_gamma_constraint()
    • Unfusing SeparableConvolutional
      • unfuse_sepconv2d()
    • Extract samples
      • extract_samples()
  • Knowledge distillation
    • Distiller
  • Sparsity
    • compute_sparsity()
  • Model I/O
    • load_model()
    • load_weights()
    • save_weights()
    • get_model_path()
  • Utils
    • fetch_file()
    • get_tensorboard_callback()
    • get_params_by_version()
  • Model zoo
    • AkidaNet
      • ImageNet
        • akidanet_imagenet()
        • akidanet_imagenet_pretrained()
        • akidanet_edge_imagenet()
        • akidanet_edge_imagenet_pretrained()
        • akidanet18_imagenet()
        • akidanet18_imagenet_pretrained()
        • akidanet_faceidentification_pretrained()
        • akidanet_faceidentification_edge_pretrained()
        • akidanet_plantvillage_pretrained()
        • akidanet_vww_pretrained()
        • Preprocessing
          • get_preprocessed_samples()
          • preprocess_image()
          • index_to_label()
    • MobileNet
      • ImageNet
        • mobilenet_imagenet()
        • mobilenet_imagenet_pretrained()
    • DS-CNN
      • KWS
        • ds_cnn_kws()
        • ds_cnn_kws_pretrained()
        • Preprocessing
          • AudioProcessor
            • AudioProcessor.get_augmented_data_for_wav()
            • AudioProcessor.get_data()
            • AudioProcessor.get_features_for_wav()
            • AudioProcessor.maybe_download_and_extract_dataset()
            • AudioProcessor.prepare_background_data()
            • AudioProcessor.prepare_data_index()
            • AudioProcessor.prepare_processing_graph()
    • VGG
      • UTK Face
        • vgg_utk_face()
        • vgg_utk_face_pretrained()
        • Preprocessing
          • load_data()
    • YOLO
      • yolo_base()
      • yolo_widerface_pretrained()
      • yolo_voc_pretrained()
      • Detection data
        • get_detection_datasets()
        • get_voc_dataset()
        • get_coco_dataset()
        • get_widerface_dataset()
        • Preprocessing
          • preprocess_dataset()
        • Utils
          • remove_empty_objects()
          • get_dataset_length()
          • Coord
      • YOLO Toolkit
        • Processing
          • load_image()
          • preprocess_image()
          • get_affine_transform()
          • apply_affine_transform_to_bboxes()
          • desize_bboxes()
          • decode_output()
          • create_yolo_targets()
          • BoundingBox
            • BoundingBox.get_label()
            • BoundingBox.get_score()
            • BoundingBox.iou()
        • YOLO Data Augmentation
          • augment_sample()
          • build_yolo_aug_pipeline()
          • init_random_vars()
        • Performance
          • MapEvaluation
            • MapEvaluation.evaluate_map()
            • MapEvaluation.on_epoch_end()
        • Anchors
          • generate_anchors()
        • Utils
          • xywh_to_xyxy()
          • xyxy_to_xywh()
          • compute_overlap()
          • compute_center_xy()
          • compute_center_wh()
    • PointNet++
      • ModelNet40
        • pointnet_plus_modelnet40()
        • pointnet_plus_modelnet40_pretrained()
        • Processing
          • get_modelnet_from_file()
          • get_modelnet()
    • GXNOR
      • MNIST
        • gxnor_mnist()
        • gxnor_mnist_pretrained()
    • CenterNet
      • centernet_base()
      • centernet_voc_pretrained()
      • decode_output()
      • create_centernet_targets()
      • build_centernet_aug_pipeline()
      • CenternetLoss
    • AkidaUNet
      • akida_unet_portrait128()
      • akida_unet_portrait128_pretrained()
    • Spatiotemporal TENNs
      • tenn_spatiotemporal_dvs128()
      • tenn_spatiotemporal_dvs128_pretrained()
      • tenn_spatiotemporal_eye()
      • tenn_spatiotemporal_eye_pretrained()
      • tenn_spatiotemporal_jester()
      • tenn_spatiotemporal_jester_pretrained()
    • Recurrent TENNs
      • tenn_recurrent_sc10()
      • tenn_recurrent_sc10_pretrained()
      • convert_to_stateful()
• TENNs modules
  • Spatiotemporal blocks
    • SpatialBlock
    • TemporalBlock
    • SpatioTemporalBlock
  • Export
    • export_to_onnx()