(self, num_classes=10, q=0.7)

(self, num_classes=10, q=0.7, scale=1.0)

(self, num_classes=10, a=1, q=2, eps=eps, scale=1.)

(self, num_classes=10, a=1.5, q=0.9, eps=eps, scale=1.0)

(self, num_classes=10, a=1.5, p=0.9, scale=1.0)

(self, num_classes=10, a=3, scale=1.0)

(self, alpha=1., beta=1., num_classes=10)

(self, alpha=1., beta=1., num_classes=10)

(self, train_loader, num_classes=10, ln_neg=1)

(self, gamma=0.5, alpha=None, size_average=True)

(self, gamma=0.5, num_classes=10, alpha=None, size_average=True, scale=1.0)

(self, alpha=1., beta=1., num_classes=10, gamma=0.5)

(self, alpha=1., beta=1., num_classes=10, gamma=0.5)

(self, alpha=1., beta = 1., num_classes=10, a=3, q=1.5)

(self, alpha=1., beta=1., num_classes=10, a=6, q=1.5)

(self, alpha=1., beta=4., num_classes=10, a=2.5)

(self, alpha=1., beta = 1., num_classes=10, a=3, q=2)

(self, alpha=1., beta = 1., num_classes=10, a=1.5, q=0.9)

(self, alpha=1., beta = 1., num_classes=10, a=3)

(self, alpha=1., beta=1., num_classes=10, a=2, p=0.7)

(self, alpha=1., beta=1., num_classes=10, a=2, p=0.7)

(self, data_path, train=True, transform=None, target_transform=None, noise=True, noise_r=0.0, args=None,

(self, root, train=True, class_type='variant', transform=None, target_transform=None, download=False, noise=Fa

(self, dataset, args)

(self, root, train=True, transform=None, target_transform=None, download=False, noise=False, noise_r=0,

(self, n, m)

(self, n, m)

(self, size)

(self, size, start_x, start_y)

(self, root, train=True, transform=None, target_transform=None, download=False, noise=False, noise_r=0,

(self, input_size)

(self, inputs, class_num)

(self, power=2)

(self, inplanes, planes, stride=1, downsample=None)

(self, inplanes, planes, stride=1, downsample=None)

(self)

(self)

(self)

(self)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, input, target)

(self, input, target)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, output, target)

(self, input, labels)

(self, pred, target)

(self, input, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, input, target)

(self, input, target)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, pred, labels)

(self, im_q, im_k, labels, w_u=None)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(args, model)