TypeError: super() takes at least 1 argument (0 given)

[tlok666]

I used python2.7 to test the example:

import pyvarinf
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
class Net(nn.Module):
def init(self):
super(Net, self).init()
self.conv1 = nn.Conv2d(1, 10, kernel_size=5)
self.conv2 = nn.Conv2d(10, 20, kernel_size=5)
self.fc1 = nn.Linear(320, 50)
self.fc2 = nn.Linear(50, 10)
self.bn1 = nn.BatchNorm2d(10)
self.bn2 = nn.BatchNorm2d(20)
def forward(self, x):
x = self.bn1(F.relu(F.max_pool2d(self.conv1(x), 2)))
x = self.bn2(F.relu(F.max_pool2d(self.conv2(x), 2)))
x = x.view(-1, 320)
x = F.relu(self.fc1(x))
x = self.fc2(x)
return F.log_softmax(x)
model = Net()
var_model = pyvarinf.Variationalize(model)
var_model.cuda()

But Error report: TypeError: super() takes at least 1 argument (0 given)

[leonardblier]

This error is because of python 2.7, it should work fine with python 3. I will add something in the requirements part of the README saying that this module only works for python 3.

[leonardblier]

The corresponding PR is here: #6

[tlok666]

This error is because of python 2.7, it should work fine with python 3. I will add something in the requirements part of the README saying that this module only works for python 3.

Hi,
I revised the vi.py:

1. line228: super(Variationalize,self).init()
2. revmoe the '.' in line 262, 272 etc
   then, it works for python2.7
   If you need this implement, i could send your email.