Cache AMD Pytorch image on the cluster local storage
Author: jitesh-gupta
Pull request: yes

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Fixes # (issue)
Caches the latest `huggingface/transformers-pytorch-amd-gpu` image on the amd-mi325 runner cluster as a pre-requisite to the AMD mi325 CI workflow `Self-hosted runner scale set (AMD mi325 scheduled CI caller)` 

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Comments:
cc @ydshieh

Hi @jitesh-gupta As our infra team knows better the infrastructure of AMD runners, @glegendre01 is better than me for the review.

On my side, I am not sure about:

- why we need a temp path and copy to the final path
- how docker will reuse the image in the path you specified. Like, does docker recognize `/mnt/image-cache` automatically?



> Hi @jitesh-gupta As our infra team knows better the infrastructure of AMD runners, @glegendre01 is better than me for the review.
> 
> On my side, I am not sure about:
> 
> * why we need a temp path and copy to the final path
mv is an atomic operation, so this is to make that sure we don't run into a weird state where we are downloading and reading from same location
> * how docker will reuse the image in the path you specified. Like, does docker recognize `/mnt/image-cache` automatically?
Yes, the runners will load the docker image using the command: `docker load -i /mnt/image-cache//transformers-pytorch-amd-gpu.tar`



closing this PR and moving the cache logic to the build-and-push docker image workflow. https://github.com/huggingface/transformers/pull/41926