API REFERENCE

• network
  • Network
    • Network.spiking_model
    • Network.analog_model
    • Network.input_shape
    • Network.synops
    • Network.compare_activations()
    • Network.forward()
    • Network.get_synops()
    • Network.plot_comparison()
    • Network.reset_states()
    • Network.zero_grad()
• layers
  • Parent layers
    • StatefulLayer
      • StatefulLayer
        • StatefulLayer.arg_dict
        • StatefulLayer.does_spike
        • StatefulLayer.forward()
        • StatefulLayer.handle_state_batch_size_mismatch()
        • StatefulLayer.has_trailing_dimension()
        • StatefulLayer.init_state_with_shape()
        • StatefulLayer.is_state_initialised()
        • StatefulLayer.reset_states()
        • StatefulLayer.state_has_shape()
        • StatefulLayer.zero_grad()
    • SqueezeMixin
      • SqueezeMixin
  • Spiking
    • IAF
      • IAF
        • IAF.v_mem
        • IAF.i_syn
        • IAF.alpha_mem_calculated
    • IAFSqueeze
      • IAFSqueeze
        • IAFSqueeze.v_mem
        • IAFSqueeze.i_syn
        • IAFSqueeze.forward()
    • IAFRecurrent
      • IAFRecurrent
        • IAFRecurrent.v_mem
        • IAFRecurrent.i_syn
        • IAFRecurrent.alpha_mem_calculated
    • LIF
      • LIF
        • LIF.v_mem
        • LIF.i_syn
        • LIF.alpha_mem_calculated
        • LIF.alpha_syn_calculated
        • LIF.forward()
        • LIF.tau_mem_calculated
        • LIF.tau_syn_calculated
    • LIFSqueeze
      • LIFSqueeze
        • LIFSqueeze.v_mem
        • LIFSqueeze.i_syn
        • LIFSqueeze.forward()
    • LIFRecurrent
      • LIFRecurrent
        • LIFRecurrent.v_mem
        • LIFRecurrent.i_syn
        • LIFRecurrent.forward()
    • ALIF
      • ALIF
        • ALIF.v_mem
        • ALIF.i_syn
        • ALIF.b
        • ALIF.spike_threshold
        • ALIF.alpha_adapt_calculated
        • ALIF.alpha_mem_calculated
        • ALIF.alpha_syn_calculated
        • ALIF.forward()
    • ALIFRecurrent
      • ALIFRecurrent
        • ALIFRecurrent.v_mem
        • ALIFRecurrent.i_syn
        • ALIFRecurrent.b
        • ALIFRecurrent.spike_threshold
        • ALIFRecurrent.forward()
  • Non-spiking
    • ExpLeak
      • ExpLeak
    • ExpLeakSqueeze
      • ExpLeakSqueeze
        • ExpLeakSqueeze.v_mem
        • ExpLeakSqueeze.i_syn
        • ExpLeakSqueeze.forward()
  • Pooling
    • SpikingMaxPooling2dLayer
      • SpikingMaxPooling2dLayer
        • SpikingMaxPooling2dLayer.forward()
        • SpikingMaxPooling2dLayer.get_output_shape()
    • SumPool2d
      • SumPool2d
  • Conversion from images / analog signals
    • Img2SpikeLayer
      • Img2SpikeLayer
        • Img2SpikeLayer.forward()
    • Sig2SpikeLayer
      • Sig2SpikeLayer
        • Sig2SpikeLayer.forward()
  • Auxiliary
    • Cropping2dLayer
      • Cropping2dLayer
        • Cropping2dLayer.forward()
        • Cropping2dLayer.get_output_shape()
    • Repeat
      • Repeat
        • Repeat.forward()
    • FlattenTime
      • FlattenTime
    • UnflattenTime
      • UnflattenTime
        • UnflattenTime.forward()
  • ANN layers
    • NeuromorphicReLU
      • NeuromorphicReLU
        • NeuromorphicReLU.forward()
    • QuantizeLayer
      • QuantizeLayer
        • QuantizeLayer.forward()
• activation
  • Spike Generation
    • SingleSpike
      • SingleSpike
    • MultiSpike
      • MultiSpike
    • MaxSpike
      • MaxSpike
  • Reset Mechanisms
    • MembraneReset
      • MembraneReset
    • MembraneSubtract
      • MembraneSubtract
  • Surrogate Gradient Functions
    • SingleExponential
      • SingleExponential
    • PeriodicExponential
      • PeriodicExponential
    • Heaviside
      • Heaviside
    • Gaussian
      • Gaussian
    • MultiGaussian
      • MultiGaussian
• from_torch
  • from_model()
• hooks
  • Hooks
    • firing_rate_hook()
    • firing_rate_per_neuron_hook()
    • input_diff_hook()
    • conv_layer_synops_hook()
    • linear_layer_synops_hook()
    • ModelSynopsHook
      • ModelSynopsHook.dt
  • Helper functions
    • register_synops_hooks()
    • get_hook_data_dict()
    • conv_connection_map()
    • _extract_single_input()
• SynOpCounter
  • SNNAnalyzer
    • SNNAnalyzer
      • SNNAnalyzer.get_layer_statistics()
      • SNNAnalyzer.get_model_statistics()
  • SynOpCounter
    • SynOpCounter
• utils
  • reset_states()
  • zero_grad()
  • get_activations()
  • get_network_activations()
  • normalize_weights()
  • set_batch_size()
  • validate_memory_mapping_speck()
• nir
  • to_nir()
  • from_nir()
• sinabs.backend.dynapcnn
  • chip_factory
    • ChipFactory
      • ChipFactory.device_id
      • ChipFactory.device_name
      • ChipFactory.events_to_raster()
      • ChipFactory.get_config_builder()
      • ChipFactory.raster_to_events()
      • ChipFactory.supported_devices
      • ChipFactory.xytp_to_events()
  • config_builder
    • ConfigBuilder
      • ConfigBuilder.build_config()
      • ConfigBuilder.get_constraints()
      • ConfigBuilder.get_default_config()
      • ConfigBuilder.get_input_buffer()
      • ConfigBuilder.get_output_buffer()
      • ConfigBuilder.get_samna_module()
      • ConfigBuilder.map_layers_to_cores()
      • ConfigBuilder.monitor_layers()
      • ConfigBuilder.reset_states()
      • ConfigBuilder.set_all_v_mem_to_zeros()
      • ConfigBuilder.validate_configuration()
  • crop2d
    • Crop2d
      • Crop2d.forward()
      • Crop2d.get_output_shape()
  • discretize
    • determine_discretization_scale()
    • discretize_conv()
    • discretize_conv_()
    • discretize_conv_spike()
    • discretize_conv_spike_()
    • discretize_scalar()
    • discretize_spk()
    • discretize_spk_()
    • discretize_tensor()
  • dvs_layer
    • DVSLayer
      • DVSLayer.forward()
      • DVSLayer.from_layers()
      • DVSLayer.get_config_dict()
      • DVSLayer.get_flip_dict()
      • DVSLayer.get_output_shape()
      • DVSLayer.get_output_shape_after_pooling()
      • DVSLayer.get_output_shape_dict()
      • DVSLayer.get_pooling()
      • DVSLayer.get_roi()
      • DVSLayer.get_swap_xy()
      • DVSLayer.input_shape_dict
  • dynapcnn_network
  • dynapcnn_layer
    • DynapcnnLayer
      • DynapcnnLayer.conv
      • DynapcnnLayer.spk
      • DynapcnnLayer.in_shape
      • DynapcnnLayer.pool
      • DynapcnnLayer.discretize
      • DynapcnnLayer.rescale_weights
      • DynapcnnLayer.forward()
      • DynapcnnLayer.get_neuron_shape()
      • DynapcnnLayer.get_output_shape()
      • DynapcnnLayer.memory_summary()
      • DynapcnnLayer.summary()
      • DynapcnnLayer.zero_grad()
    • convert_linear_to_conv()
  • exceptions
    • MissingLayer
      • MissingLayer.index
    • UnexpectedLayer
      • UnexpectedLayer.layer_type_expected
      • UnexpectedLayer.layer_type_found
  • flipdims
    • FlipDims
      • FlipDims.forward()
      • FlipDims.get_output_shape()
  • io
  • mapping
    • FlowGraphEdge
    • LayerConstraints
    • edmonds()
    • find_chip_layers()
    • get_valid_mapping()
    • make_flow_graph()
    • recover_mapping()
  • utils
    • convert_cropping2dlayer_to_crop2d()
    • extend_readout_layer()
    • get_device_id()
    • infer_input_shape()
    • merge_bn()
    • merge_conv_bn()
    • parse_device_id()
    • standardize_device_id()
    • topological_sorting()
  • dynapcnn_visualizer
  • specksim