[P] I put together a pytorch debugger with an emphasis on minimal code changes and tools for catching silent errors, like what could be causing NaNs in your loss.

[https://github.com/ethansmith2000/epic-pytorch-debugger](https://github.com/ethansmith2000/epic-pytorch-debugger)


To start this is very very WIP, but even in its current state its been quite useful in getting detailed reports on the tensors involved in an exception, catching NaNs or other odd values, and also keeping track of non-pytorch variables.
And the best part, is all it requires is putting a decorator over your function.

here's some examples

https://preview.redd.it/31m5jp34ijic1.png?width=1626&format=png&auto=webp&s=5b3d64e32e2d5fda7f9f1db4ffec039c5db21db7

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https://preview.redd.it/973909g1ijic1.png?width=1148&format=png&auto=webp&s=7ad349b861d4e5863c478ee6e39e272040adc647

I'm putting it out open source hoping that others can benefit from it and lose less time …

current examples exception function machinelearning part pytorch reports state values variables