dataset = dset.CIFAR10(root='../train/data', download=True,transform=transforms.Compose([
        transforms.Scale(200),
        transforms.ToTensor(),
        transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
       ]))

class Gray(object)

 def __call__(self, tensor):
  # TODO: make efficient
  R = tensor[0]
  G = tensor[1]
  B = tensor[2]
  tensor[0]=0.299*R+0.587*G+0.114*B
  tensor = tensor[0]
  tensor = tensor.view(1,200,200)
  return tensor