Comments (3)
Hi,
Thanks for pointing this out. We have just fixed that. Please let us know if there was any other problems.
However, if you are using this for CV tasks with a convolutional NN then we suggest directly using the code that we have provided in image classification directory:
https://github.com/amirgholami/adahessian/tree/master/image_classification
and specifically:
https://github.com/amirgholami/adahessian/blob/master/image_classification/optim_adahessian.py
Also as a side note pytorch-optimizer library already has the adahessian integrated and you can use adahessian as a drop-in replacement there:
https://github.com/jettify/pytorch-optimizer
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Hi,
Using both image_classification/optim_adahessian.py and the pytorch-optimizer package worked, thanks for the quick response!
Using instruction/adahessian.py produces the error: "NameError: name 'hut_trace' is not defined"
Is there any difference between the instruction/adahessian.py and image_classification/optim_adahessian.py implementations?
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Thanks for point this out. Zhewei's latest commit should resolve that issue.
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Related Issues (20)
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