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Types & classes40 in github.com/SageCao1125/SDM

⨍ Functions 158◇ Types & classes 40
↓ 8 callersClassTSMConv2d
SDM/TSM.py:17
↓ 6 callersClassGaussianDiffusionSampler
ANN2SNN/diffusion.py:46
↓ 5 callersClassIF
ANN2SNN/spiking_layer.py:192
↓ 5 callersClassQuantReLU
ANN2SNN/quant_layer.py:210
↓ 5 callersClassUNet
ANN2SNN/model.py:122
↓ 4 callersClassFIDInceptionC
InceptionC block patched for FID computation
ANN2SNN/inception.py:232
↓ 4 callersClassResBlock
ANN2SNN/model.py:79
↓ 4 callersClassS_ResBlock
ANN2SNN/spiking_model.py:88
↓ 4 callersClassS_UNet
ANN2SNN/spiking_model.py:132
↓ 4 callersClassSpk_ResBlock
SDM/TSM.py:134
↓ 4 callersClassSwish
SDM/TSM.py:41
↓ 3 callersClassFIDInceptionA
InceptionA block patched for FID computation
ANN2SNN/inception.py:207
↓ 3 callersClassInceptionV3
Pretrained InceptionV3 network returning feature maps
ANN2SNN/inception.py:16
↓ 3 callersClassSpiking
ANN2SNN/spiking_layer.py:13
↓ 2 callersClassSpk_UNet_TSM
SDM/TSM.py:222
↓ 1 callersClassDownSample
ANN2SNN/spiking_model.py:41
↓ 1 callersClassDownSample
ANN2SNN/model.py:41
↓ 1 callersClassFIDInceptionE_1
First InceptionE block patched for FID computation
ANN2SNN/inception.py:260
↓ 1 callersClassFIDInceptionE_2
Second InceptionE block patched for FID computation
ANN2SNN/inception.py:293
↓ 1 callersClassGaussianDiffusionSampler
SDM/diffusion.py:59
↓ 1 callersClassGaussianDiffusionTrainer
ANN2SNN/diffusion.py:15
↓ 1 callersClassMembraneOutputLayer
outputs the last time membrane potential of the LIF neuron with V_th=infty
SDM/TSM.py:202
↓ 1 callersClassS_TimeEmbedding
ANN2SNN/spiking_model.py:9
↓ 1 callersClassSpiking_TimeEmbed
ANN2SNN/spiking_layer.py:71
↓ 1 callersClassSpk_DownSample
SDM/TSM.py:78
↓ 1 callersClassSpk_UpSample
SDM/TSM.py:105
↓ 1 callersClassTimeEmbedding
SDM/TSM.py:46
↓ 1 callersClassTimeEmbedding
ANN2SNN/model.py:9
↓ 1 callersClassUpSample
ANN2SNN/spiking_model.py:64
↓ 1 callersClassUpSample
ANN2SNN/model.py:59
↓ 1 callersClass_uq
ANN2SNN/quant_layer.py:107
↓ 1 callersClasslast_Spiking
ANN2SNN/spiking_layer.py:134
ClassGaussianDiffusionTrainer
SDM/diffusion.py:26
ClassQuantAvgPool2d
ANN2SNN/quant_layer.py:277
ClassQuantConv2d
Generates quantized convolutional layers. args: bit(int): bitwidth for the quantization, power(bool): (A)PoT or Uniform quantizat
ANN2SNN/quant_layer.py:148
ClassQuantLinear
ANN2SNN/quant_layer.py:309
ClassQuantSwish
ANN2SNN/quant_layer.py:245
ClassSwish
ANN2SNN/quant_layer.py:10
Classfirst_conv
ANN2SNN/quant_layer.py:350
Classlast_fc
ANN2SNN/quant_layer.py:364