[FeTS][GaNDLF] skip loading train.csv during inference mode
#1141
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
Signed-off-by: kta-intel <[email protected]>
Signed-off-by: kta-intel <[email protected]>
Signed-off-by: kta-intel <[email protected]>
tanwarsh
pushed a commit
to tanwarsh/openfl
that referenced
this pull request
Nov 18, 2024
…federatedai#1141) * remove train.csv path during inference step Signed-off-by: kta-intel <[email protected]> * check inference during dataloader Signed-off-by: kta-intel <[email protected]> * lint fix Signed-off-by: kta-intel <[email protected]> --------- Signed-off-by: kta-intel <[email protected]>
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Outdated suggestions cannot be applied.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.
This PR is in support of updating FeTS AI Challenge code base.
Specifically, this PR introduces a conditional check to handle inference mode in the data loader by adjusting the assignment of
self.train_csv. Ifdata_pathcontains a reference toinference, thenself.train_csvwill not be assigned a path. Otherwise,self.train_csvwill load intrain.csvfrom the specifieddata_pathThis is important since training data is not present during inference/testing, so there needed to be a way to bypass this assignment