I am trying to run code using python 3.5 and I have pytorch 0.4.1 installed. I always end up getting error below:
Traceback (most recent call last):
File "train.py", line 205, in
hidden_list = repackage_hidden(hidden_list)
File "train.py", line 94, in repackage_hidden
return tuple(repackage_hidden(v) for v in h)
File "train.py", line 94, in
return tuple(repackage_hidden(v) for v in h)
File "train.py", line 94, in repackage_hidden
return tuple(repackage_hidden(v) for v in h)
File "train.py", line 94, in
return tuple(repackage_hidden(v) for v in h)
File "train.py", line 94, in repackage_hidden
return tuple(repackage_hidden(v) for v in h)
File "train.py", line 94, in
return tuple(repackage_hidden(v) for v in h)
File "train.py", line 94, in repackage_hidden
return tuple(repackage_hidden(v) for v in h)
File "train.py", line 94, in
return tuple(repackage_hidden(v) for v in h)
File "train.py", line 94, in repackage_hidden
return tuple(repackage_hidden(v) for v in h)
File "/home/usr/.local/lib/python3.5/site-packages/torch/tensor.py", line 381, in iter
raise TypeError('iteration over a 0-d tensor')
TypeError: iteration over a 0-d tensor
@SabaMehmood15 ,
I initially had the same error (on python 2.7, pytorch 0.4.1), the readme does say they tested on pytorch 0.3.0 and python 2.7. After downgrading pytorch it worked fine for me.
Modify 'type(h) == Variable' to 'type(h) == torch.Tensor'
#-- helper func for rnn units
def repackage_hidden(h):
"""Wraps hidden states in new Variables, to detach them from their history."""
# if type(h) == Variable:
# return Variable(h.data)
if type(h) == torch.Tensor:
return Variable(h.data)
else:
return tuple(repackage_hidden(v) for v in h)