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Types & classes43 in github.com/bingchenlll/FastGAN-pytorch

⨍ Functions 177◇ Types & classes 43
↓ 9 callersClassImageFolder
docstring for ArtDataset
operation.py:73
↓ 7 callersClassNetLinLayer
A single linear layer which does a 1x1 conv
lpips/networks_basic.py:104
↓ 7 callersClassSEBlock
models.py:74
↓ 6 callersClassDownBlock
models.py:183
↓ 6 callersClassGenerator
models.py:122
↓ 5 callersClassDownBlockComp
models.py:196
↓ 5 callersClassGLU
models.py:47
↓ 4 callersClassFIDInceptionC
InceptionC block patched for FID computation
benchmarking/benchmark.py:221
↓ 4 callersClassFIDInceptionC
InceptionC block patched for FID computation
benchmarking/inception.py:218
↓ 4 callersClassSimpleDecoder
docstring for CAN_SimpleDecoder
models.py:316
↓ 3 callersClassFIDInceptionA
InceptionA block patched for FID computation
benchmarking/benchmark.py:196
↓ 3 callersClassFIDInceptionA
InceptionA block patched for FID computation
benchmarking/inception.py:193
↓ 3 callersClassInfiniteSamplerWrapper
Data sampler wrapper
operation.py:27
↓ 2 callersClassDiscriminator
models.py:216
↓ 2 callersClassNoiseInjection
models.py:55
↓ 1 callersClassDist2LogitLayer
takes 2 distances, puts through fc layers, spits out value between [0,1] (if use_sigmoid is True)
lpips/networks_basic.py:114
↓ 1 callersClassFIDInceptionE_1
First InceptionE block patched for FID computation
benchmarking/benchmark.py:249
↓ 1 callersClassFIDInceptionE_1
First InceptionE block patched for FID computation
benchmarking/inception.py:246
↓ 1 callersClassFIDInceptionE_2
Second InceptionE block patched for FID computation
benchmarking/benchmark.py:282
↓ 1 callersClassFIDInceptionE_2
Second InceptionE block patched for FID computation
benchmarking/inception.py:279
↓ 1 callersClassInceptionV3
Pretrained InceptionV3 network returning feature maps
benchmarking/benchmark.py:24
↓ 1 callersClassInceptionV3
Pretrained InceptionV3 network returning feature maps
benchmarking/inception.py:16
↓ 1 callersClassInitLayer
models.py:86
↓ 1 callersClassMultiResolutionDataset
operation.py:111
↓ 1 callersClassScalingLayer
lpips/networks_basic.py:94
↓ 1 callersClassSwish
models.py:69
ClassBCERankingLoss
lpips/networks_basic.py:131
ClassBaseModel
lpips/base_model.py:7
ClassDSSIM
lpips/networks_basic.py:167
ClassDistModel
lpips/dist_model.py:24
ClassFakeNet
lpips/networks_basic.py:144
ClassInception3Feature
benchmarking/benchmark.py:316
ClassInception3Feature
benchmarking/calc_inception.py:17
ClassL2
lpips/networks_basic.py:150
ClassPNetLin
lpips/networks_basic.py:27
ClassPerceptualLoss
lpips/__init__.py:21
ClassPixelNorm
models.py:33
ClassReshape
models.py:37
ClassTextureDiscriminator
models.py:352
Classalexnet
lpips/pretrained_networks.py:58
Classresnet
lpips/pretrained_networks.py:140
Classsqueezenet
lpips/pretrained_networks.py:7
Classvgg16
lpips/pretrained_networks.py:98