Fix get_num_classes error in training notebook step 6#1
Open
PluieElectrique wants to merge 1 commit intoSortAnon:mainfrom
Open
Fix get_num_classes error in training notebook step 6#1PluieElectrique wants to merge 1 commit intoSortAnon:mainfrom
get_num_classes error in training notebook step 6#1PluieElectrique wants to merge 1 commit intoSortAnon:mainfrom
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
The TalkNet training notebook installs
pytorch-lightning==1.3.8, which importsget_num_classesfrom the torchmetrics package. However:get_num_classeswas removed in v0.8.0, so torchmetrics v0.7.3 is the last version compatible with Lightning v1.3.8.Lightning v1.3.8 only requires
torchmetrics>=0.2.0, so pip can install a version of torchmetrics newer than v0.7.3, leading to this error in step 6 of the training notebook:This error has occurred quite a few times already (April 27, May 8, May 25, June 22).
This PR prevents this from happening by requiring
torchmetrics<=0.7.3. (It should fix the problem, but I haven't tested it myself.) This change could also be made in step 4 of the training notebook, if that's more convenient.