Removing 3D Attributes Script #3348
Merged
+37
−0
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
vaughnbetz
approved these changes
Nov 19, 2025
Contributor
vaughnbetz
left a comment
vaughnbetz
left a comment
There was a problem hiding this comment.
Looks good; one extra comment suggested.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Adding a bash script that takes an RR graph file as input and removes all attributes related to 3D architecture. I considered implementing this as a Python script, but based on my experience, even with streaming, Python doesn't handle very large RR graph files efficiently. For that reason, I decided to implement it as a bash script instead.
I tested this script by writing out the RR graph for one of the titan_other benchmarks, running the script on it, verifying that there were no occurrences of "layer", "layer_high", or "layer_low" in the modified file, and then running VTR again using the updated RR graph file. The results were identical in both runs.