Traceback (most recent call last):File "main.py", line 479, in <module>main()File "main.py", line 239, in maintrain(train_loader, model, criterion, optimizer, epoch)File "main.py", line 314, in trainprec1, prec5 = accuracy(output.data, target, topk=(1, 5))File "main.py", line 473, in accuracycorrect_k = correct[:k].view(-1).float().sum(0)RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.
@lvdmaaten @ShichenLiu @gaohuang @ironfist2 Can CondenseNet be updated to be compatible with the latest PyTorch version 1.9.0? Or can you please tell us what changes need to be made?
Thank you!
EDIT: I just replaced the view function with reshape as suggested in the error and it works. Though I am still not sure of the difference between the two functions in this context.
Getting the following error message:
Traceback (most recent call last):File "main.py", line 479, in <module>main()File "main.py", line 239, in maintrain(train_loader, model, criterion, optimizer, epoch)File "main.py", line 314, in trainprec1, prec5 = accuracy(output.data, target, topk=(1, 5))File "main.py", line 473, in accuracycorrect_k = correct[:k].view(-1).float().sum(0)RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.@lvdmaaten @ShichenLiu @gaohuang @ironfist2 Can CondenseNet be updated to be compatible with the latest PyTorch version 1.9.0? Or can you please tell us what changes need to be made?
Thank you!
EDIT: I just replaced the
viewfunction withreshapeas suggested in the error and it works. Though I am still not sure of the difference between the two functions in this context.