@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.
Hello,
I use autograd.gradcheck for Sqrtm in MPNCOV.py and the function returns false, but if I delete the ligne 'der_NSiter = der_NSiter.transpose(1, 2)' , it turns out to be true.
Hello, I use autograd.gradcheck for Sqrtm in MPNCOV.py and the function returns false, but if I delete the ligne 'der_NSiter = der_NSiter.transpose(1, 2)' , it turns out to be true.
Is there anybody who could explain it?
Thanks so much