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[skip ci] Use Stanford Cars mirror to fix CI docs build #11812
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added skip-ci to unlock the CI quickly. |
I'm surprised http://ai.stanford.edu/ went down - Pytorch and Tensorflow both use this link for their datasets packages, so it seems to be trusted. I'm not sure what the best long-term fix for this issue is - see the discussion on #11811 for more. |
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lgtm assuming it works locally
Can confirm the fix works locally. You can try it yourself on Google Colab at https://colab.research.google.com/drive/1ycMRXm3ulghiBKsdrp1wiKdFpmXNej9o?usp=sharing (click "Run All"). |
also fyi to skip Jenkins |
Good to know, thanks! |
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As part of
gallery/how_to/work_with_microtvm/micro_train.py
, we download a part of the Stanford Cars dataset from https://ai.stanford.edu/. Unfortunately, https://ai.stanford.edu/ is currently down, with no indication of when it will be back up. This PR provides a temporary CI fix by switching this tutorial to use a mirror link. Note that the link is not an exact mirror (containing all files, not just the train ones), so a few other lines had to be adjusted too.cc @Mousius @areusch @driazati