spikingjelly.activation_based package

Subpackages

• spikingjelly.activation_based.ann2snn package
  • Subpackages
    • spikingjelly.activation_based.ann2snn.examples package
      • Submodules
      • spikingjelly.activation_based.ann2snn.examples.cnn_mnist module
      • spikingjelly.activation_based.ann2snn.examples.resnet18_cifar10 module
      • Module contents
  • Submodules
  • spikingjelly.activation_based.ann2snn.converter module
    • Converter
      • Converter.forward()
      • Converter.fuse()
      • Converter.set_voltagehook()
      • Converter.replace_by_ifnode()
      • Converter.training
  • spikingjelly.activation_based.ann2snn.modules module
    • VoltageHook
      • VoltageHook.forward()
      • VoltageHook.training
    • VoltageScaler
      • VoltageScaler.forward()
      • VoltageScaler.extra_repr()
      • VoltageScaler.training
  • spikingjelly.activation_based.ann2snn.utils module
    • download_url()
  • Module contents
• spikingjelly.activation_based.examples package
  • Subpackages
    • spikingjelly.activation_based.examples.common package
      • Submodules
      • spikingjelly.activation_based.examples.common.multiprocessing_env module
      • Module contents
  • Submodules
  • spikingjelly.activation_based.examples.A2C module
  • spikingjelly.activation_based.examples.DQN_state module
    • ReplayMemory
      • ReplayMemory.push()
      • ReplayMemory.sample()
    • DQN
      • DQN.forward()
      • DQN.training
  • spikingjelly.activation_based.examples.PPO module
    • make_env()
    • ActorCritic
      • ActorCritic.forward()
      • ActorCritic.training
  • spikingjelly.activation_based.examples.Spiking_A2C module
    • NonSpikingLIFNode
      • NonSpikingLIFNode.single_step_forward()
      • NonSpikingLIFNode.training
    • ActorCritic
      • ActorCritic.forward()
      • ActorCritic.training
  • spikingjelly.activation_based.examples.Spiking_DQN_state module
  • spikingjelly.activation_based.examples.Spiking_PPO module
  • spikingjelly.activation_based.examples.cifar10_r11_enabling_spikebased_backpropagation module
    • relu
      • relu.forward()
      • relu.backward()
    • BaseNode
      • BaseNode.spiking()
      • BaseNode.forward()
      • BaseNode.reset()
      • BaseNode.training
    • LIFNode
      • LIFNode.forward()
      • LIFNode.training
    • IFNode
      • IFNode.forward()
      • IFNode.training
    • ResNet11
      • ResNet11.forward()
      • ResNet11.reset_()
      • ResNet11.training
    • main()
  • spikingjelly.activation_based.examples.classify_dvsg module
    • main()
  • spikingjelly.activation_based.examples.conv_fashion_mnist module
    • CSNN
      • CSNN.forward()
      • CSNN.spiking_encoder()
      • CSNN.training
    • main()
  • spikingjelly.activation_based.examples.dqn_cart_pole module
  • spikingjelly.activation_based.examples.lif_fc_mnist module
    • SNN
      • SNN.forward()
      • SNN.training
    • main()
  • spikingjelly.activation_based.examples.rsnn_sequential_fmnist module
    • PlainNet
      • PlainNet.forward()
      • PlainNet.training
    • StatefulSynapseNet
      • StatefulSynapseNet.forward()
      • StatefulSynapseNet.training
    • FeedBackNet
      • FeedBackNet.forward()
      • FeedBackNet.training
    • main()
  • spikingjelly.activation_based.examples.speechcommands module
    • mel_to_hz()
    • hz_to_mel()
    • create_fb_matrix()
    • MelScaleDelta
      • MelScaleDelta.forward()
      • MelScaleDelta.training
    • Pad
    • Rescale
    • collate_fn()
    • LIFWrapper
      • LIFWrapper.forward()
      • LIFWrapper.training
    • Net
      • Net.forward()
      • Net.training
  • spikingjelly.activation_based.examples.spiking_lstm_sequential_mnist module
    • Net
      • Net.forward()
      • Net.training
    • main()
  • spikingjelly.activation_based.examples.spiking_lstm_text module
  • Module contents
• spikingjelly.activation_based.model package
  • Submodules
  • spikingjelly.activation_based.model.parametric_lif_net module
    • MNISTNet
      • MNISTNet.forward()
      • MNISTNet.training
    • FashionMNISTNet
      • FashionMNISTNet.training
    • NMNISTNet
      • NMNISTNet.training
    • CIFAR10Net
      • CIFAR10Net.forward()
      • CIFAR10Net.training
    • CIFAR10DVSNet
      • CIFAR10DVSNet.forward()
      • CIFAR10DVSNet.training
    • DVSGestureNet
      • DVSGestureNet.forward()
      • DVSGestureNet.training
  • spikingjelly.activation_based.model.sew_resnet module
    • SEWResNet
      • SEWResNet.forward()
      • SEWResNet.training
    • sew_resnet18()
    • sew_resnet34()
    • sew_resnet50()
    • sew_resnet101()
    • sew_resnet152()
    • sew_resnext50_32x4d()
    • sew_resnext101_32x8d()
    • sew_wide_resnet50_2()
    • sew_wide_resnet101_2()
  • spikingjelly.activation_based.model.spiking_resnet module
    • SpikingResNet
      • SpikingResNet.forward()
      • SpikingResNet.training
    • spiking_resnet18()
    • spiking_resnet34()
    • spiking_resnet50()
    • spiking_resnet101()
    • spiking_resnet152()
    • spiking_resnext50_32x4d()
    • spiking_resnext101_32x8d()
    • spiking_wide_resnet50_2()
    • spiking_wide_resnet101_2()
  • spikingjelly.activation_based.model.spiking_vgg module
    • SpikingVGG
      • SpikingVGG.forward()
      • SpikingVGG.make_layers()
      • SpikingVGG.training
    • spiking_vgg11()
    • spiking_vgg11_bn()
    • spiking_vgg13()
    • spiking_vgg13_bn()
    • spiking_vgg16()
    • spiking_vgg16_bn()
    • spiking_vgg19()
    • spiking_vgg19_bn()
  • spikingjelly.activation_based.model.train_classify module
    • set_deterministic()
    • seed_worker()
    • Trainer
      • Trainer.cal_acc1_acc5()
      • Trainer.preprocess_train_sample()
      • Trainer.preprocess_test_sample()
      • Trainer.process_model_output()
      • Trainer.train_one_epoch()
      • Trainer.evaluate()
      • Trainer.load_data()
      • Trainer.load_CIFAR10()
      • Trainer.load_ImageNet()
      • Trainer.load_model()
      • Trainer.get_tb_logdir_name()
      • Trainer.set_optimizer()
      • Trainer.set_lr_scheduler()
      • Trainer.main()
      • Trainer.before_test_one_epoch()
      • Trainer.before_train_one_epoch()
      • Trainer.get_args_parser()
  • spikingjelly.activation_based.model.train_imagenet module
  • Module contents

Module contents