RuntimeError: bool value of Tensor with more than one value is ambiguous

[chandreshiit]

While running your code, I encountered this error.

Traceback (most recent call last):
  File "nmt.py", line 181, in <module>
    decoder_logit = model(input_lines_src, input_lines_trg)
  File "/home/cmaurya1/code/py2.7/local/lib/python2.7/site-packages/torch/nn/modules/module.py", line 491, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/cmaurya1/code/seq2seq/seq2seq_maximum_entropy/model.py", line 841, in forward
    ctx_mask
  File "/home/cmaurya1/code/py2.7/local/lib/python2.7/site-packages/torch/nn/modules/module.py", line 491, in __call__
    result = self.forward(*in
Traceback (most recent call last):
  File "nmt.py", line 181, in <module>
    decoder_logit = model(input_lines_src, input_lines_trg)
  File "/home/cmaurya1/code/py2.7/local/lib/python2.7/site-packages/torch/nn/modules/module.py", line 491, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/cmaurya1/code/seq2seq/seq2seq_maximum_entropy/model.py", line 841, in forward
    ctx_mask
  File "/home/cmaurya1/code/py2.7/local/lib/python2.7/site-packages/torch/nn/modules/module.py", line 491, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/cmaurya1/code/seq2seq/seq2seq_maximum_entropy/model.py", line 382, in forward
    output.append(isinstance(hidden, tuple) and hidden[0] or hidden)
RuntimeError: bool value of Tensor with more than one value is ambiguous

Any hint to solve?

[sjy1203]

@chandu8542
I just change this line in my case as follows:
output.append(hidden[0])