(iRun, cfg, regenRState=False, generate=True)

(self, in_planes, out_planes, stride, dropRate=0.0)

(val_loader, model, checkpoint_dir, tag='last',set='base')

(self, aug = False)

(self, data_file, aug)

(checkpoint_dir)

(cfg)

(start=None, end=None, cfg=None)

(self, image_size, n_way, n_support, n_query, n_eposide =100)

(file)

(self, block, in_planes, out_planes, nb_layers, stride, dropRate)

(query, base_means, base_cov, k,alpha=0.21)

(dsname)

(file)

(script)

(self, transform_type)

(file, data)

(iRun, cfg)

(self, img)

(self,i)

(self,i)

(self,i)

(self, module)

(self, indim, outdim)

(self, nb_layers, in_planes, out_planes, block, stride, dropRate=0.0)

(self, depth=28, widen_factor=10, num_classes= 200 , loss_type = 'dist', per_img_std = False, stride = 1 )

(self, transformdict)

(self, data_file, transform, target_transform=identity)

(self, data_file, batch_size, transform)

(self, sub_meta, cl, transform=transforms.ToTensor(), target_transform=identity)

(self, n_classes, n_way, n_episodes)

(self, image_size, normalize_param = dict(mean= [0.485, 0.456, 0.406] , std=[0.229, 0.224

(self, image_size, batch_size)

(self)

(self)

(self)

(self)

(self)

(self, x)

(self, x)

(self, x)

(self, x)

(self, x, target= None, mixup=False, mixup_hidden=True, mixup_alpha=None , lam = 0.4)

(checkpoint_dir, num)

(checkpoint_dir)

(self, data_file, aug)

(self, data_file, aug)

(inp,num_classes)

(num_classes=200 , loss_type = 'dist')