API reference

• Akida runtime
  • Model
  • Layer
    • Layer
    • Mapping
  • InputData
  • InputConvolutional
  • FullyConnected
  • Convolutional
  • SeparableConvolutional
  • Layer parameters
    • LayerType
    • Padding
    • PoolType
  • Optimizers
  • Sequence
    • Sequence
    • BackendType
    • Pass
  • Device
    • Device
    • HwVersion
  • HWDevice
    • HWDevice
    • SocDriver
    • ClockMode
  • PowerMeter
  • NP
  • Tools
    • Sparsity
    • Compatibility
• CNN2SNN
  • Tool functions
    • quantize
    • quantize_layer
    • convert
    • check_model_compatibility
    • load_quantized_model
    • Transforms
    • Calibration
  • Quantizers
    • WeightQuantizer
    • LinearWeightQuantizer
    • StdWeightQuantizer
    • StdPerAxisQuantizer
    • MaxQuantizer
    • MaxPerAxisQuantizer
  • Quantized layers
    • QuantizedConv2D
    • QuantizedDense
    • QuantizedSeparableConv2D
    • QuantizedActivation
    • ActivationDiscreteRelu
    • QuantizedReLU
• Akida models
  • Layer blocks
    • conv_block
    • separable_conv_block
    • dense_block
  • Helpers
    • BatchNormalization gamma constraint
  • Knowledge distillation
  • Pruning
  • Training
  • MACS
  • Utils
  • Model zoo
    • AkidaNet
      • ImageNet
        • Preprocessing
    • Mobilenet
      • ImageNet
    • DS-CNN
      • KWS
        • Preprocessing
    • VGG
      • ImageNet
      • UTK Face
        • Preprocessing
    • YOLO
      • YOLO Toolkit
        • Processing
        • Performances
        • Anchors
    • ConvTiny
      • CWRU
    • PointNet++
      • ModelNet40
        • Processing
    • GXNOR
      • MNIST