Problem with packed sequence

[Seba]

Hello, I have a problem when using a packed sequence and RNNs, I get the following error:

/usr/local/lib/python3.7/site-packages/torch/nn/modules/module.py in __call__(self, *input, **kwargs)
    493             result = self.forward(*input, **kwargs)
    494         for hook in self._forward_hooks.values():
--> 495             hook_result = hook(self, input, result)
    496             if hook_result is not None:
    497                 raise RuntimeError(

/usr/local/lib/python3.7/site-packages/torchsummaryX/torchsummaryX.py in hook(module, inputs, outputs)
     27             info["id"] = id(module)
     28             if isinstance(outputs, (list, tuple)):
---> 29                 info["out"] = list(outputs[0].size())
     30             else:
     31                 info["out"] = list(outputs.size())

AttributeError: 'PackedSequence' object has no attribute 'size'

It was generated with something like this:

encoder = LSTM(..., batch_first=True, bidirectional=True)
question = nn.utils.rnn.pack_padded_sequence(question, question_len, batch_first=True)
contextual_words, (question_embedding, _) = encoder(question)

Error rises here

--> 244         contextual_words, (question_embedding, _) = encoder(question)

[Namhyuk Ahn]

@sebamenabar Check the latest version (1.3.0).

[Seba]

Thanks, worked correctly for me now.