↓ 1 callersFunctiontrades_loss(model,
x_natural,
y,
optimizer,
device,
experiments/CIFAR10-TRADES/baseline.res-pre18.TRADES.10step/trades.py:18
↓ 1 callersFunctiontrain(args, model, device, train_loader, optimizer, epoch, descrip_str='Training')
experiments/CIFAR10-TRADES/baseline.res-pre18.TRADES.10step/train_trades_cifar10.py:47
↓ 1 callersFunctiontrain_one_epoch(net, batch_generator, optimizer,
criterion, LayerOneTrainner, K,
DEVI
experiments/CIFAR10-TRADES/pre-res18.TRADES-YOPO-2-5/training_function.py:59
↓ 1 callersFunctiontrain_one_epoch(net, batch_generator, optimizer,
criterion, LayerOneTrainner, K,
DEVI
experiments/CIFAR10-TRADES/pre-res18.TRADES-YOPO-3-4/training_function.py:54
Method__init__(self, eps, sigma, nb_iters, norm, mean, std)
lib/training/config.py:108
Method__init__(self, nb_layers, in_planes, out_planes, block, stride, dropRate=0.0)
lib/base_model/wide_resnet.py:46
Method__init__(self, Hamiltonian_func, param_optimizer,
inner_steps=2, sigma = 0.008, eps = 0.03)
experiments/CIFAR10-TRADES/pre-res18.TRADES-YOPO-2-5/training_function.py:16
Method__init__(self, Hamiltonian_func, param_optimizer,
inner_steps=2, sigma = 0.008, eps = 0.03)
experiments/CIFAR10-TRADES/pre-res18.TRADES-YOPO-3-4/training_function.py:16
Method__init__(self, Hamiltonian_func, param_optimizer,
inner_steps=2, sigma = 0.008, eps = 0.03)
experiments/CIFAR10/pre-res18.yopo-5-3/training_function.py:15
Method__init__(self, Hamiltonian_func, param_optimizer,
inner_steps=2, sigma = 0.008, eps = 0.03)
experiments/CIFAR10/wide34.yopo-5-3/training_function.py:15
Method__init__(self, Hamiltonian_func, param_optimizer,
inner_steps=2, sigma = 0.008, eps = 0.03)
experiments/MNIST/YOPO-5-10/training_function.py:15