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Hi,
I've used a modified version of your code. The modification is supposed to be just some refactors (assuming I've made no mistakes).
I ran it on MNIST and a simple network, and it worked. But when I tried to use it on Cifar10 with Resnet18_comp I got the following error (line 61 of hypergrad.py):
One of the differentiated Tensors appears to not have been used in the graph. Set allow_unused=True if this is the desired behavior.
Do you know what the reason might be?
The text was updated successfully, but these errors were encountered:
Hi,
I've used a modified version of your code. The modification is supposed to be just some refactors (assuming I've made no mistakes).
I ran it on MNIST and a simple network, and it worked. But when I tried to use it on Cifar10 with Resnet18_comp I got the following error (line 61 of hypergrad.py):
Do you know what the reason might be?
The text was updated successfully, but these errors were encountered: