RuntimeError: bool value of Variable objects containing non-empty torch.cuda.FloatTensor is ambiguous

[SeekPoint]

mldl@ub1604:/ub16_prj/pytorch_RVAE$ python3 train_word_embeddings.py
preprocessed data was found and loaded
Traceback (most recent call last):
File "train_word_embeddings.py", line 47, in
out = neg_loss(input, target, args.num_sample).mean()
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 224, in call
result = self.forward(*input, **kwargs)
File "/home/mldl/ub16_prj/pytorch_RVAE/selfModules/neg.py", line 38, in forward
assert parameters_allocation_check(self),
File "/home/mldl/ub16_prj/pytorch_RVAE/utils/functional.py", line 15, in parameters_allocation_check
return fold(f_and, parameters, True) or not fold(f_or, parameters, False)
File "/home/mldl/ub16_prj/pytorch_RVAE/utils/functional.py", line 2, in fold
return a if (len(l) == 0) else fold(f, l[1:], f(a, l[0]))
File "/home/mldl/ub16_prj/pytorch_RVAE/utils/functional.py", line 2, in fold
return a if (len(l) == 0) else fold(f, l[1:], f(a, l[0]))
File "/home/mldl/ub16_prj/pytorch_RVAE/utils/functional.py", line 6, in f_and
return x and y
File "/usr/local/lib/python3.5/dist-packages/torch/autograd/variable.py", line 123, in bool
torch.typename(self.data) + " is ambiguous")
RuntimeError: bool value of Variable objects containing non-empty torch.cuda.FloatTensor is ambiguous
mldl@ub1604:/ub16_prj/pytorch_RVAE$

[berzentine]

How did you fix this? I am getting the same error