(self, val, n=1)

(arch, block, layers, pretrained, progress, **kwargs)

(self, block, planes, blocks, stride=1, dilate=False)

(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6

(output, target)

(y_pred, y_true, y_scores)

(self)

(pretrained=False, progress=True, **kwargs)

(epoch, model, cfg, tag)

(losses, acc, metrics, e, tag='set')

(self, num_batches)

(ctx, grad_output)

(self)

(cfg)

(directory)

(self)

(self)

(train_loader, model, criterion, optimizer, epoch, cfg)

(valid_loader, model, criterion, epoch, cfg)

(self, img)

(self)

(self)

(self, *args)

(self, num_classes, feat_dim, size_average=True)

(self, num_batches, meters, prefix="")

(self)

(self, fpath=None)

(self, size)

(self, args)

(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm

(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm

(self)

(self, batch)

(self, feat, A, label)

(ctx, feature, A, label, centers, batch_size)

(self, x)

(self, x)

(self, x)

(pretrained=False, progress=True, **kwargs)

(pretrained=False, progress=True, **kwargs)

(pretrained=False, progress=True, **kwargs)

(pretrained=False, progress=True, **kwargs)

(pretrained=False, progress=True, **kwargs)

(pretrained=False, progress=True, **kwargs)

(pretrained=False, progress=True, **kwargs)

(pretrained=False, progress=True, **kwargs)

(self, msg)