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Changes to pytorch tutorial for Spatial Transformer Networks to reflect the suggestion by https://github.com/theRealSuperMario #2677

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@ver2king ver2king commented Nov 13, 2023

Fixes #1117

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  • Add a sharable link for the distorted MNIST dataset size 60*60 (credit to Author: 'Sandro Braun https://github.com/theRealSuperMario')
  • Add two additional Spatial Transformer Net (STNs) that digest the distorted MNIST dataset's image size, and with different padding modes in the "torch.grid_sample" layer (credit to Author: 'Sandro Braun https://github.com/theRealSuperMario')
  • Compare the performance of all STNs (for both the original and the distorted MNIST datasets)

cc @sekyondaMeta @svekars @carljparker @NicolasHug @kit1980 @subramen

1. Add a sharable link for the distorted MNIST dataset size 60*60
2. Add two additional Spatial Transformer Net (STNs) with different padding modes in "torch.grid_sample" layer
3. Compare the performance of all STNs (for both the original and the distorted MNIST datasets)
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pytorch-bot bot commented Nov 13, 2023

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/2677

Note: Links to docs will display an error until the docs builds have been completed.

✅ No Failures

As of commit 7624d81 with merge base ceed926 (image):
💚 Looks good so far! There are no failures yet. 💚

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Please remove all the changes you added from the .idea dir.

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Looks like this PR hasn't been updated in a while so we're going to go ahead and mark this as Stale.
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@github-actions github-actions bot added the stale Stale PRs label Sep 27, 2024
@github-actions github-actions bot closed this Oct 27, 2024
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