(self, in_channels, out_channels)

(self, block, in_planes, nblock)

(self, block, planes, num_blocks, stride)

(self, in_planes, out_planes, num_blocks, dense_depth, stride)

(self, block, planes, num_blocks, stride)

(self, block, planes, num_blocks, stride)

(self, idx)

(name, file)

(x)

(self, block=BasicBlock, num_classes=10)

(self, in_planes, out_planes, stride=1)

(self, in_channels, out_channels, kernel_size=1)

(self, num_blocks, stride)

(self, planes, num_cells)

(self, out_channels, num_blocks)

(self, out_planes, num_blocks, groups)

(name, allow_pickle=True)

(name=None, output=None, for_file=False)

(self, block, num_blocks, num_classes=10)

(self, block, nblocks, growth_rate=12, reduction=0.5, num_classes=10)

(self, in_planes, out_planes, stride, groups)

(self, in_channels, se_channels)

(self, in_planes, planes, stride=1)

(self, block, num_blocks, num_classes=10, clsr='linear', num_proto=1)

(self, in_planes, se_planes)

(self, planes)

()

()

(seconds)

()

()

()

()

()

()

()

(num_classes=10, num_proto=1, clsr='linear', pretrained=False)

()

()

(self, in_planes, cardinality=32, bottleneck_width=4, stride=1)

(self, cfg)

(self, in_planes, out_planes, stride=1)

(self, in_planes, out_planes, expansion, stride)

(self, in_planes, n1x1, n3x3red, n3x3, n5x5red, n5x5, pool_planes)

(self, in_planes)

(self, cfg)

(self, in_channels)

(self, in_planes)

(feat1, feat2)

()

(x, drop_ratio)

()

()

()

()

(dataset)

(feats, batch_size)

(self, feat)

(feat1, feat2)

(name, data)

()

(epoch)

(epoch)

(models, criterion, epoch, cycle)

()

()

()

()

(epoch)

(models, criterion, optimizer, epoch, trainloader)

()

()

()

()

()

()

()

()

()

()

()

()

()

()

()

(num_classes=10)

(num_classes=10)

(num_classes=10)

(num_classes=10)

()

(self, idx)

(self, idx)

(self, idx)

(self, idx)

(self, path, is_train=True, transform=None)

(self, path, is_train=True, transform=None)

(self, path, is_train=True, transform=None, path_list=None, noise_level=0)

(self, path, is_train=True, transform=None)

(self, in_planes, planes, stride=1)

(self, in_channels, out_channels, kernel_size=1)