NEW: recipe tutorial on how to calculate layer output dimensions

[loganthomas]

Fixes #2926
Replaces #2923 (accidental deletion)

Description

New recipe tutorial on how to calculate layer output dimensions

• How to transition from convolution and pooling layers to linear layers in a model
• How to manually calculate the output dimensions after applying a convolution or pooling layer
• How to print the shape of internal tensors for inspecting dimensionality changes in a model
• How to use the torchinfo package to show output dimensions for all layers in a model

Checklist

• The issue that is being fixed is referred in the description (see above "Fixes #ISSUE_NUMBER")
• Only one issue is addressed in this pull request
• Labels from the issue that this PR is fixing are added to this pull request
• No unnecessary issues are included into this pull request.

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/2944

• 📄 Preview Python docs built from this PR

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

✅ No Failures

As of commit 6ce19d7 with merge base 0740801 ():
💚 Looks good so far! There are no failures yet. 💚

This comment was automatically generated by Dr. CI and updates every 15 minutes.