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Thanks @Cadene, I am aware of it. I am going to fix the existing issues for this repo when I have a chance for current users. But given STN is added to pytorch with higher performance, it's unlikely I will develop this repo further.
Hi, Fei, thanks a lot for sharing this code. I compared with Pytorch official STN and your implementation, and found the gradients are different when the number of channel of feature map > 1. I am wondering whether you also found this, or it's just me having something wrong?
pytorch: Adding Spatial Transformers w/CuDNN support
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