Hey guys,
I’m having this weird error with NLLLoss:
The predicted and target outputs are the following:
Predicted
Variable containing:
-2.8742 -0.0581
-2.1152 -0.1285
-2.8361 -0.0604
-3.5815 -0.0282
-3.4316 -0.0329
-3.9429 -0.0196
-2.6402 -0.0740
-2.7773 -0.0642
-2.3009 -0.1056
-1.7565 -0.1895
[torch.FloatTensor of size 10x2]

Target
Variable containing:
    1
    0
    1
    1
    1
    1
    0
    0
    0
    1
[torch.LongTensor of size 10x1]

And I get the following error:
RuntimeError: multi-target not supported at /Users/soumith/code/builder/wheel/pytorch-src/torch/lib/THNN/generic/ClassNLLCriterion.c:20
I tried with toy examples before and the formats seem pretty much valid. I had a different version of the model running and it was working… Is this some kind of pytorch bug?
Best regards,
Miguel
EDIT
It only happens when I load the target output from numpy!
I was doing:
target = Variable(torch.from_numpy(np.random.randint(2, size=(10, 1))))
This is definitely something that should not happen…