qualia_plugin_snn.learningmodel.pytorch.layers.spikingjelly package

Submodules

• qualia_plugin_snn.learningmodel.pytorch.layers.spikingjelly.Add module
  • Add
    • Add.__init__()
    • Add.extra_repr()
    • Add.forward()
• qualia_plugin_snn.learningmodel.pytorch.layers.spikingjelly.QuantizedAdd module
  • QuantizedAdd
    • QuantizedAdd.__init__()
    • QuantizedAdd.extra_repr()
    • QuantizedAdd.forward()
• qualia_plugin_snn.learningmodel.pytorch.layers.spikingjelly.layers1d module
  • AvgPool
  • BatchNorm
  • Conv
  • MaxPool
  • QuantizedBatchNorm
  • QuantizedConv
  • QuantizedMaxPool
• qualia_plugin_snn.learningmodel.pytorch.layers.spikingjelly.layers2d module
  • AvgPool
  • BatchNorm
  • Conv
  • MaxPool
  • QuantizedBatchNorm
  • QuantizedConv
  • QuantizedMaxPool
• qualia_plugin_snn.learningmodel.pytorch.layers.spikingjelly.quantized_layers module
  • QuantizedLinear
    • QuantizedLinear.__init__()
    • QuantizedLinear.extra_repr()
    • QuantizedLinear.forward()
• qualia_plugin_snn.learningmodel.pytorch.layers.spikingjelly.quantized_layers1d module
  • QuantizedConv1d
    • QuantizedConv1d.__init__()
    • QuantizedConv1d.extra_repr()
    • QuantizedConv1d.forward()
  • QuantizedMaxPool1d
    • QuantizedMaxPool1d.__init__()
    • QuantizedMaxPool1d.extra_repr()
    • QuantizedMaxPool1d.forward()
  • QuantizedBatchNorm1d
    • QuantizedBatchNorm1d.__init__()
    • QuantizedBatchNorm1d.extra_repr()
    • QuantizedBatchNorm1d.forward()
• qualia_plugin_snn.learningmodel.pytorch.layers.spikingjelly.quantized_layers2d module
  • QuantizedConv2d
    • QuantizedConv2d.__init__()
    • QuantizedConv2d.extra_repr()
    • QuantizedConv2d.forward()
  • QuantizedMaxPool2d
    • QuantizedMaxPool2d.__init__()
    • QuantizedMaxPool2d.extra_repr()
    • QuantizedMaxPool2d.forward()
  • QuantizedBatchNorm2d
    • QuantizedBatchNorm2d.__init__()
    • QuantizedBatchNorm2d.extra_repr()
    • QuantizedBatchNorm2d.forward()

Module contents

Contain layers and aliases with support for SpikingJelly step_mode.