learner.fit and learner.validate - AttributeError: 'Tensor' object has no attribute 'bool' about fast-bert HOT 7 OPEN

Can you update to the latest pytorch version?

from fast-bert.

I was able to use the learner object without issue and predict, but metrics part did not work.
Another issue also related to bool not being available as part of learner validate, trace is below:
09/08/2019 14:51:53 - INFO - root - Running evaluation
09/08/2019 14:51:53 - INFO - root - Num examples = 1000
09/08/2019 14:51:53 - INFO - root - Batch size = 8
100.00% [125/125 01:20<00:00]

AttributeError Traceback (most recent call last)
in ()
----> 1 learner.validate()

1 frames
/usr/local/lib/python3.6/dist-packages/fast_bert/metrics.py in accuracy_thresh(y_pred, y_true, thresh, sigmoid)
29 if sigmoid:
30 y_pred = y_pred.sigmoid()
---> 31 return ((y_pred > thresh) == y_true.bool()).float().mean().item()
32 # return np.mean(((y_pred>thresh)==y_true.byte()).float().cpu().numpy(), axis=1).sum()
33

AttributeError: 'Tensor' object has no attribute 'bool'

from fast-bert.

Hi i had this error
But i can't use pytorch 1.2 due to an error with apex
Sorry i am on Windows 10.
Any help or suggestion are greatly appreciated

from fast-bert.

i am also getting the same error , could you please let me know if you guys have rectified this error

from fast-bert.

i got around this error by using apex_no_distributed NVIDIA/apex#433 (comment)
first check as mentioned in following
NVIDIA/apex#433 (comment)

from fast-bert.

is it rectified ?

from fast-bert.

I just find a nice workaround by change
return ((y_pred > thresh) == y_true.bool()).float().mean().item()
to
return ((y_pred > thresh) == (y_true > 0.5)).float().mean().item()

and it works perfectly.

from fast-bert.