I am trying to reproduce the output for
! python RandAugment/train.py -c confs/wresnet28x10_svhn_b256.yaml --save svhn_wres28x10.pth
The error is encountered in the metrics.py
correct_k = correct[:k].view(-1).float().sum(0)
Error message : view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces)
The same error arises while testing for cifar10