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
-train_set = svrt.generate_vignettes(12, 1234)
+labels = torch.LongTensor(12).zero_()
+labels.narrow(0, 0, labels.size(0)//2).fill_(1)
+
+train_set = svrt.generate_vignettes(4, labels)
print(str(type(train_set)), train_set.size())
+
+train_set = train_set.view(train_set.size(0), 1, train_set.size(1), train_set.size(2))
+
+train_set.div_(255)
+
+torchvision.utils.save_image(train_set, 'example.png')