import time
import torch
+import torchvision
from torch import optim
from torch import FloatTensor as Tensor
from torch.autograd import Variable
from torch import nn
from torch.nn import functional as fn
+
from torchvision import datasets, transforms, utils
-from _ext import svrt
+import svrt
+
+labels = torch.LongTensor(12).zero_()
+labels.narrow(0, 0, labels.size(0)//2).fill_(1)
+
+x = svrt.generate_vignettes(4, labels)
+
+x = x.view(x.size(0), 1, x.size(1), x.size(2))
+
+x.div_(255)
-train_set = svrt.generate_vignettes(12, 1234)
+torchvision.utils.save_image(x, 'example.png')
-print(str(type(train_set)), train_set.size())
+print('Wrote example.png')