Error with LSTMs on GPU

[MilesCranmer]

Hi @ctallec,

Great package! Thanks for writing it.

I recently found a bug that I wanted to seek your advice on. When I Variationalize an LSTM model, I see an error when porting it to CUDA. For example, here's the working version:

net = nn.LSTM(10, 10)
net.cuda()

This works fine. Then,

net = nn.LSTM(10, 10)
net = pyvarinf.Variationalize(net)
net.cuda()

This gives the bug:

---------------------------------------------------------------------------

StopIteration                             Traceback (most recent call last)

<ipython-input-14-0c80e37b52e0> in <module>()
      1 net = nn.LSTM(10, 10)
      2 net = pyvarinf.Variationalize(net)
----> 3 net.cuda()

3 frames

/usr/local/lib/python3.6/dist-packages/torch/nn/modules/rnn.py in flatten_parameters(self)
     94         Otherwise, it's a no-op.
     95         """
---> 96         any_param = next(self.parameters()).data
     97         if not any_param.is_cuda or not torch.backends.cudnn.is_acceptable(any_param):
     98             return

StopIteration: 

Any idea what this is from? Maybe I shouldn't be using this with an RNN-like model?

Thanks!
Miles

[ctallec]

Hi @MilesCranmer,

Seems like a problem with the specific implementation of LSTMs, I will look into that asap and keep you updated. Thanks for reporting the issue 👍