Add resource requirements to the retrieve from faiss component #905
Conversation
This file contains 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
src/fondant/components/retrieve_from_faiss_by_prompt/src/main.py
Outdated
Show resolved
Hide resolved
RobbeSneyders
approved these changes
Mar 13, 2024
There was a problem hiding this comment.
Thanks @mrchtr!
Feel free to merge and release after resolving my suggestions.
src/fondant/components/retrieve_from_faiss_by_prompt/src/main.py
Outdated
Show resolved
Hide resolved
Co-authored-by: Robbe Sneyders <[email protected]>
Co-authored-by: Robbe Sneyders <[email protected]>
Co-authored-by: Robbe Sneyders <[email protected]>
mrchtr
deleted the
bugfix/set-resource-requirements-retrieve-from-faiss-component
branch
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Outdated suggestions cannot be applied.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.
When using the retrieve from faiss component with the LocalCluster it is a bit tricky to find the right machine configuration.
Changed the initialisation of the LocalCluster. Assign each worker 8Gb of RAM and limit the number of cores accordingly.