Types & classes — github.com/VITA-Group/GAN-Slimming

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Types & classes18 in github.com/VITA-Group/GAN-Slimming

⨍ Functions 68 ◇ Types & classes 18

↓ 8 callersClassAverageMeter

Computes and stores the average and current value

utils/utils.py:12

↓ 4 callersClassFIDInceptionC

InceptionC block patched for FID computation

utils/inception.py:218

↓ 4 callersClassGenerator

models/models.py:134

↓ 3 callersClassFIDInceptionA

InceptionA block patched for FID computation

utils/inception.py:193

↓ 2 callersClassDiscriminator

models/models.py:201

↓ 2 callersClassInceptionV3

Pretrained InceptionV3 network returning feature maps

utils/inception.py:16

↓ 2 callersClassPairedImageDataset

datasets/datasets.py:32

↓ 2 callersClassReplayBuffer

follow Shrivastava et al.’s strategy: update D using a history of generated images, rather than the ones produced by the latest generators.

utils/utils.py:154

↓ 2 callersClassVGGFeature

utils/perceptual.py:9

↓ 1 callersClassFIDInceptionE_1

First InceptionE block patched for FID computation

utils/inception.py:246

↓ 1 callersClassFIDInceptionE_2

Second InceptionE block patched for FID computation

utils/inception.py:279

↓ 1 callersClassImageDataset

datasets/datasets.py:9

↓ 1 callersClassResidualBlock

models/models.py:114

↓ 1 callersClassVgg16

utils/vgg.py:11

ClassConv2dQuant

models/models.py:43

ClassConvTrans2dQuant

models/models.py:79

utils/utils.py:180

ClassLinQuantSteOp

Straight-through estimator operator for linear quantization

models/models.py:12