This repository was archived by the owner on Jul 1, 2024. It is now read-only.
Reduce data logged to tensorboard#436
Closed
vreis wants to merge 1 commit intofacebookresearch:masterfrom
Closed
Conversation
facebook-github-bot
added
CLA Signed
Contributor
|
This pull request was exported from Phabricator. Differential Revision: D20441202 |
Summary: Pull Request resolved: facebookresearch#436 We were logging learning rate and loss for every single step, which makes tensorboard too slow to load in long training runs. Log every 10th step, which should be enough for all cases: we always log at the end of every phase as well. Reviewed By: mannatsingh Differential Revision: D20441202 fbshipit-source-id: eed06c334f8c9f3d6706f7a9a3b3377b34582b46
Contributor
|
This pull request was exported from Phabricator. Differential Revision: D20441202 |
Contributor
|
This pull request has been merged in 8fd9772. |
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 subscribe to this conversation on GitHub.
Already have an account?
Sign in.
2 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Summary:
We were logging learning rate and loss for every single step, which makes
tensorboard too slow to load in long training runs. Log every 10th step, which
should be enough for all cases: we always log at the end of every phase as
well.
Differential Revision: D20441202