↓ 3 callersMethod__init__(self, in_c, out_c, ker_size=(3, 3), stride=1, padding=1, batch_norm=True, relu=True)
networks/blocks.py:6
↓ 2 callersMethod__init__(self, block, nblocks, growth_rate=12, reduction=0.5, num_classes=10)
classifier_models/densenet.py:37
↓ 1 callersMethod__init__(self, in_planes, out_planes, kernel_size, stride, expand_ratio=1, se_ratio=0.0, drop_rate=0.0)
classifier_models/efficientnet.py:19
↓ 1 callersMethod__init__(self, in_planes, n1x1, n3x3red, n3x3, n5x5red, n5x5, pool_planes)
classifier_models/googlenet.py:8
↓ 1 callersFunctiontrain(netC, optimizerC, schedulerC, train_dl, noise_grid, identity_grid, tf_writer, epoch, opt)
train.py:41
↓ 1 callersFunctiontrain_step(regression_model, optimizerR, dataloader, recorder, epoch, opt)
defenses/neural_cleanse/detecting.py:174