Computing train embeddings

[estanley16]

Hi there,
I was able to successfully use the tutorial in imagenet_case_study_fast_kfac.ipynb on my own data to compute influence embeddings for my test set.

However, I would like to find slice opponents, so I am wondering how to compute influence embeddings for the training data?
I tried calling predict for my training data on the embedder that was fit to the training data, but the results seemed wrong as all the embeddings were essentially zero.
Alternatively, is there a simpler and/or built-in way to compute slice opponents?

thanks!

[adebayoj]

Thanks for sharing the update! Indeed, these embeddings should not be zero. Right now, we don't have a direct way to compute slice opponents, but we can include one in a revamp of the repo. First, we'll reproduce the imagenet case study that you just found, and get back to you.

Thanks!