NEW: recipe tutorial on how to calculate layer output dimensions
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
torchinfopackage to show output dimensions for all layers in a model
Checklist
- [X] The issue that is being fixed is referred in the description (see above "Fixes #ISSUE_NUMBER")
- [X] Only one issue is addressed in this pull request
- [X] Labels from the issue that this PR is fixing are added to this pull request
- [X] No unnecessary issues are included into this pull request.
:link: Helpful Links
:test_tube: See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/2944
- :page_facing_up: Preview Python docs built from this PR
Note: Links to docs will display an error until the docs builds have been completed.
:white_check_mark: No Failures
As of commit 6ce19d75c32cdbba7c8a6434787f79ecd8daaf4f with merge base 0740801fa8df2464f4d931d36a4bd7ada9cd0519 ():
:green_heart: Looks good so far! There are no failures yet. :green_heart:
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