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Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

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I run the code on the cifar10 dataset, however, the test accuracy keeps very low (about 10%, it is random guessing). by the way, it really works on mnist.

Hi, Andrew As I run your code, there prints a RuntimeError: 'volatile can only be set on leaf variables' in line 44 of train.py `self.backprop_grads[name].volatile = False` could you check...

Hello, after cloning the repo, trying to run the command `python main.py --model_type mlp` and fixing the print command in train.py (it was the python2 version of print) I get...