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Types & classes50 in github.com/BayesWatch/pytorch-blockswap

⨍ Functions 120◇ Types & classes 50
↓ 19 callersClassAverageMeter
Computes and stores the average and current value
utils.py:183
↓ 8 callersClassNetworkBlock
models/blocks.py:1403
↓ 6 callersClassWideResNet
models/wide_resnet.py:30
↓ 3 callersClassResNet
models/resnet.py:42
↓ 2 callersClassCutout
Randomly mask out one or more patches from an image. Args: n_holes (int): Number of patches to cut out of each image. length (int)
utils.py:251
↓ 2 callersClassIdentity
models/blocks.py:900
↓ 1 callersClassBasicBlock
models/blocks.py:849
↓ 1 callersClassBottleBlock
models/blocks.py:1224
↓ 1 callersClassMaskBlock
models/blocks.py:908
↓ 1 callersClassMaskBottleBlock
models/blocks.py:1106
↓ 1 callersClassPruner
utils.py:202
ClassA16B2
models/blocks.py:289
ClassA2B2
models/blocks.py:241
ClassA4B2
models/blocks.py:257
ClassA8B2
models/blocks.py:273
ClassAConvBottleneck
models/blocks.py:102
ClassConv
models/blocks.py:10
ClassConv2x2
models/blocks.py:429
ClassConvB16
models/blocks.py:414
ClassConvB2
models/blocks.py:369
ClassConvB4
models/blocks.py:384
ClassConvB8
models/blocks.py:399
ClassConvBottleneck
models/blocks.py:28
ClassDARTSBlock
models/blocks.py:1270
ClassDARTSConv
models/blocks.py:687
ClassDConv
models/blocks.py:449
ClassDConv3D
models/blocks.py:659
ClassDConvA16
models/blocks.py:584
ClassDConvA2
models/blocks.py:539
ClassDConvA4
models/blocks.py:554
ClassDConvA8
models/blocks.py:569
ClassDConvB16
models/blocks.py:644
ClassDConvB2
models/blocks.py:599
ClassDConvB4
models/blocks.py:614
ClassDConvB8
models/blocks.py:629
ClassDConvBottleneck
models/blocks.py:140
ClassDConvG16
models/blocks.py:524
ClassDConvG2
models/blocks.py:479
ClassDConvG4
models/blocks.py:494
ClassDConvG8
models/blocks.py:509
ClassG16B2
models/blocks.py:225
ClassG16B4
models/blocks.py:353
ClassG2B2
models/blocks.py:177
ClassG2B4
models/blocks.py:305
ClassG4B2
models/blocks.py:193
ClassG4B4
models/blocks.py:321
ClassG8B2
models/blocks.py:209
ClassG8B4
models/blocks.py:337
ClassGConvBottleneck
models/blocks.py:64
ClassMBConv6
expand + depthwise + pointwise
models/blocks.py:806